Dissertations / Theses on the topic 'Psychology|Transportation'

Driving is a complicated task that requires the coordination of visual and sensory-motor skills. Unsafe driving behavior and accidents can happen regardless of the level of drivers’ experience. The main cause of the most of these accidents is human error. Emotions influence the way drivers process and react to internal or environmental factors. Specifically, anger elicited either from traffic or personal issues, is a serious threat on the road. Therefore, having an affective intelligent system in the car that can estimate drivers’ anger and respond to it appropriately can help drivers adapt to moment to-moment changes in driving situations. To this end, the present dissertation uses an integrated approach to monitoring drivers’ affective states in various driving contexts to address the question: “What types of music can mitigate the effects of anger on driving performance?” Three sources of information (behavioral, physiological, and subjective data) were considered in two experiments. In Experiment 1, three groups of participants were compared based on their emotional reactions and driving behaviors. Results showed that angry drivers who did not listen to music had riskier driving behavior than emotion neutral drivers. Results from heart rate, oxygenation level in prefrontal cortex, and self report questionnaires showed that music could help angry drivers react at the similar level to emotion-neutral drivers both internally and behaviorally. In Experiment 2, types of music emotion and familiarity of music were addressed to identify what kind of music an in-vehicle auditory system should play when it recognizes drivers’ anger. Results showed that different kinds of music did not effect driving performance. However, drivers experienced less frustration and effort when listening to music in general and less viii frustration when listening to self-selected music specifically. Regarding personality characteristics, drivers who had anger-expression out style had riskier driving behavior just as in Experiment 1. In conclusion, this research showed the benefits of music as a possible strategy to help angry drivers. In addition, important patterns were uncovered relating to assessing driver anger for possible affective intelligent systems in cars.

In order to perform their duties, airline pilots must have no clinical diagnosis of mental illness or any substance use disorder. However, provisions have been in place since the 1970s that provide for a return to work for airline pilots with alcohol problems. To date, over 5,000 airline pilots have undergone rehabilitation for Alcohol Use Disorder (AUD) and successfully returned to work. An important gap in the literature remains with regard to what extent improvements in cognitive performance may be experienced by airline pilots who complete treatment and to what extent age influences the amount of change. This study examined the archival data of 95 male Caucasian pilots who were assessed for cognitive performance shortly after entry to 30-day inpatient treatment and approximately 5 months later during the return to work evaluation. A nonexperimental within subjects design compared pre- and post-treatment scores on the Wechsler Adult Intelligence Scale-IV (WAIS-IV) full scale and 4 index scores as well as differences for age groups (25 to 44, 45 to 54, and 55 to 64). Repeated measures ANOVA revealed that there were significant gains on all WAIS-IV measures pre–post treatment for AUD. MANOVA results indicated no differences between age groups. These findings support current Federal Aviation Administration program practices with regard to returning airline pilots to work following rehabilitation and a sufficient period of abstinence. The potential of this study to promote the agenda of social change may be substantive for raising awareness of the cognitive deficits associated with AUD and how these may impact the safety of flight operations.

Research with human participants involves a complex combination of procedural elements in order to establish internal, external and measurement validity. Examining the accuracy of research equipment and methods that elicit similar behaviors as the general public is difficult. This research used driving as a model to address elements in the procedures that participants experience to elicit realistic behaviors.

An instrumented vehicle (IV) and driving simulator (SIM) measured experimental behaviors for average approach speed (in the 20m before the legal stop line); lateral distance from curb at 20m; lateral distance from curb at legal stop line (0m) and the stopping location (distance before or after 0m); and, compared with measured general driving public behaviors at stop-controlled intersections. The linear mixed effect analyses combined two experiments. In both, surveys were administered to gather driver’s trait anxiety, driving anxiety and social desirability scores. Experiment One drivers (36% female) were grouped as Novice (5, 16-17 year olds who just obtained driving license), Young (4, 16-17 year olds who obtained license over a year ago) and Adult (5, 30-55 year olds licensed near age 16). Experiment Two drivers (47 SIM, 44 IV; 35% female) were College age (18-21 year olds licensed near age 16) and exposed to 1 of 16 different combinations (one of those treatments matched Experiment One’s procedure) of procedural changes for: researcher attire (casual or formal), researcher proximity (control room, front or rear passenger seat), mode of instruction delivery (spoken, read or video) and hypothesis statement (none or explicit). At the end of Experiment Two, participants’ understanding of the experiment was coded into three debriefing variables.

Absolute behavioral validity of the IV to public behavior was achieved in one treatment (formal, front seat, spoken and no hypothesis) and including the debriefing variables in the model; no SIM combination achieved this. Trait anxiety scores appeared to explain behaviors in the IV or SIM and improved result interpretation as interactions with other independent variables. For improved research methods, it is recommended that coded debriefing variables, specific procedural elements, and trait anxiety scores be included and used to explain interactions or differences in participant behaviors.

At a time of increased use and competitiveness amongst U.S. regional airlines, and the growing pilot shortage, regional air carriers and pilots alike lack proper understanding how pilot commutes by airplane affect satisfaction with life. There are numerous studies on how commuting by vehicle, bicycle, mass transit system, or walking (traditional commute) to and from work affects one’s satisfaction with life. There are no identified studies which investigate regional airline pilots’ commute by airplane and its affect on satisfaction with life.

The purpose of this study was to gain knowledge on regional airline pilot commutes, how commuting affects regional pilots’ satisfaction with life, and to explore why regional airline pilots choose to commute. This study used both qualitative and quantitative measures to accomplish this task by imploring a mixed methods exploratory sequential design. The two research questions were what is the variation in the Satisfaction With Life Scale scores between different groups of regional pilots and what aspects of pilot commuting are related to traditional commuting?

This study used previous related research and regional airline pilot qualitative interviews to build a quantitative survey to measure satisfaction with life. The survey was distributed to a large regional airline to get a representative pilot population sample response. Statistical analysis was conducted on the responses which looked for significance between different groups of regional airline pilots.

Results from a t-test indicated that there is a significant difference in Satisfaction With Life Scores for regional pilots that are able to traditionally commute to their domicile vs. regional pilots who commute by airplane to their domicile. Further t-test results indicated that there is a significant difference in satisfaction with life for airplane commute captains vs. traditional commute captains, and airplane commute captains vs. traditional commute first officers. When only airplane commute pilots were analyzed, there are significant differences in satisfaction with life for pilots that commute over 43.33 hours a month (equivalent to one hour, one way traditional commute), and a one way airplane commute of two or more legs. A Between-Groups ANOVA indicated that commuting the day before a trip begins and commuting the day after a trip ends (un-commutable trip) produces a less satisfied pilot compared to trips that are commutable at the beginning, end or both ends.

Protecting U.S. transportation hubs against a wide variety of security threats, while avoiding undue interference with the normal operations of the hubs, is one of the greatest challenges facing security agencies. The problem addressed in this study was the limited information on the contributing factors to seaport security. The purpose of this case study was to explore issues that can inhibit efficiency of security agency operation and collaboration and to identify actions that have enhanced collaboration. Based on theories of organizational development, leadership, and security tradecraft, this study examined the activities related to maintenance of security at a large California seaport. Research questions focused on the types of relationships that exist among supervisors and employees, how these relationships were formed, types of conflicts among organizations, and methods of task allocation among agencies. Individuals who worked for security agencies were randomly selected for participation (n =20). Data gathering was primarily through face-to-face interviews in an open-ended format and augmented by observations of people working within the research environment. An inductive approach to data collection, with open and axial coding, was used to identify themes and patterns. Key findings included themes of trust among seaport security personnel and threats such as smuggling, sabotage, and terrorism. Conclusions and recommendations may help security officials improve the efficiency and effectiveness of security resources. Positive social change may result from enhanced measures that increase security while avoiding threats to commercial activity and individual civil liberties.

Nonemergency transportation drivers play a critical role in helping individuals with Intellectual Disabilities (ID) gain access to community integration opportunities. Challenging behaviors can limit access to enrichment opportunities and possibly increase the likelihood that individuals with ID will be isolated from community enrichment activities. The purpose of this study was to determine if positive behavior support training improved nonemergency transportation drivers' perceptions of challenging behaviors displayed by individuals with ID. For purposes of this study, perception was defined as staff (driver) beliefs about the causes of challenging behavior. A convenience sample of 52 nonemergency transportation drivers was chosen from a Logisticare provider list using local zip codes. Data were collected using the Challenging Behavior Attribution Scale (CHABA) before and after training using the Positive Behavior Support Curriculum 2nd Edition. A 2-way ANOVA revealed no statistically significant differences in perception before or after training. Analysis of the data indicated that training had no impact on driver perception of challenging behavior. The drivers who participated in this study appeared to have positive perceptions of challenging behavior, and, as a result, no statistically significant results were found. Perhaps the results of this study might lead community organizations that support individuals with ID to include transportation drivers in team meetings when there are concerns regarding challenging behavior. The drivers' positive perceptions regarding challenging behaviors may be an asset to support teams in developing positive behavior support strategies that improve the quantity of life for persons with ID.

Since the time humans have developed speech, storytelling has been a crucial part of society. Its values lie in the ability to communicate potential dangers about the world to generating laughter and tears as a form of entertainment. A central theme in stories that continues to reoccur over the course of history is the story of the hero. Carl Jung theorizes that the hero is an archetype in the collective unconscious, which explains humans’ innate inclinations towards heroes. Throughout history, the forms of storytelling have evolved due to technological and intellectual advancements. In modern times, film has risen as the leading modality for storytelling. The central theme of heroes continues to reoccur in this modality and is testified by the dominance of action hero movies in the box office. The purpose of this paper is to develop a model that details how to craft a compelling action hero movie based on empirical psychological research. The paper defines a compelling action hero movie as a movie with an action hero protagonist that maximizes narrative transportation, persuasion and enjoyment. By dissecting the construction of the film into its plot, character/diction, theme, melody and spectacle, the paper develops the PCTMS-NTPE Model that maximizes narrative transportation, persuasion and enjoyment in each aforementioned components. The beneficiaries of this paper are filmmakers and individuals who want to understand the inner psychological mechanics of a compelling action hero movie.

To understand the impact of daily travel on personal and societal well-being, researchers are developing measurement techniques that go beyond satisfaction-based measures of travel. Metrics related Subjective Well-Being (SWB), defined as an evaluation of one's happiness or life satisfaction, are increasingly important for evaluating transportation and land-use policies. This dissertation examines commute well-being, a multi-item measure of how one feels about the commute to work, and how it is shaped. Data are from a web-based survey of workers (n=828) in Portland, Oregon, U.S.A., with three roughly equally sized groups based on mode: bike, transit and car users. Descriptive analysis shows that commute well-being varies widely across the sample. Those who bike and walk to work have significantly higher commute well-being than transit and car commuters. A multiple linear regression model shows that along with travel mode, traffic congestion, travel time, income, health, attitudes about travel, job satisfaction and residential satisfaction also play important individual roles in shaping commute well-being. A structural equation model reveals a significant correlation between commute well-being and overall happiness, controlling for other key happiness indicators. This research helps expand existing theory by demonstrating (1) how commute well-being can be measured and modeled; (2) how accessibility, distance and travel time impact commute well-being; (3) how individual mode choices interact with attitudes to impact commute satisfaction and (4) commuting's relationship to overall well being.

Why do people travel? Underlying most travel behavior research is the derived-demand paradigm of travel analysis, which assumes that travel demand is derived from the demand for spatially separated activities, traveling is a means to an end (reaching destinations), and travel time is a disutility to be minimized. In contrast, the "positive utility of travel" (PUT) concept suggests that travel may not be inherently disliked and could instead provide benefits or be motivated by desires for travel-based multitasking, positive emotions, or fulfillment. The PUT idea assembles several concepts relevant to travel behavior: utility maximization, motivation theory, multitasking, and subjective well-being. Despite these varied influences, empirical analyses of the PUT concept remain limited in both quantity and scope. There is a need for more fundamental development and classification of the PUT idea and its multifaceted nature. The wide variety and quality of ways to measure PUT attributes are further research challenges. Additionally, few studies investigate both major aspects of the PUT concept--travel activities and travel experiences--simultaneously. Finally, research is only beginning to examine empirical associations between PUT measures and travel behaviors such as mode choice. This dissertation addresses many of these gaps in conceptualizing, measuring, and modeling the PUT concept. First, a literature review strengthens the definition, classification, and empirical support for a PUT, defined as "any benefit(s) accruing to a traveler through the act of traveling." The two primary PUT categories are travel activities (travel-based multitasking) and travel experiences (travel subjective well-being), and the most useful PUT measures involve gathering self-reported assessments of these topics. Based on this review, an online questionnaire is designed and administered to nearly 700 commuters in the Portland, OR, region. The survey includes detailed questions about commute mode choice, activity participation, travel usefulness, positive emotions and fulfillment, and travel liking for a recent home-to-work trip. Next, these PUT measures are empirically examined using factor analyses, finding groupings of activities and common unobserved constructs of hedonic ("Distress," "Fear," "Attentiveness," "Enjoyment") and eudaimonic ("Security," "Autonomy," "Confidence," "Health") subjective well-being. Many of these factors exhibit large variations among travel modes--walking and bicycling commuters are the most satisfied and appear to value time spent exercising--and are predicted (somewhat less strongly) by other trip and traveler characteristics in ordered logit regression and structural equation models. Finally, integrated choice and latent variable models are estimated to examine relationships between measures of the PUT concept and commute mode choice. This is made possible by the unique dataset that collects PUT measures for not only the chosen mode but also modal alternatives. Measures of travel-based multitasking are significantly related to mode choice, suggesting people may be doing things more to pass the time than to be productive. A validated measure of travel subjective well-being is also a significant and positive factor, suggesting people are more likely to choose a mode that makes them happier. Overall, PUT measures greatly increase the explanatory power of the mode choice model. These findings make significant contributions to travel behavior research methods and knowledge. They also offer important implications for transportation policies around promoting nonautomobile travel and planning for autonomous vehicles.

Thesis (Ph. D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2005.
Includes bibliographical references (p. 310-316). Also available online via the Georgia Institute of Technology, website (http://etd.gatech.edu/).

Transportation-related collisions are ubiquitous and often traumatic. Identifying post-collision psychological distress and the characteristics of the collision survivor that lead to distress are vital to the development of early and appropriate interventions. The goals of this study were: 1) to use a questionnaire as opposed to a typical diagnostic interview, 2) to confirm that psychological distress is present in currently hospitalized transportation-related collision survivors, 3) to confirm that different types of distress co-occur, 4) to determine if distress is more likely to occur in those who have had prior distress, and 5) to explore the relationship between symptoms of distress and perception of control by self, others, and God/Higher Power of past, present, and future collision-related events. Subjects were 100 English speaking adult inpatients, 16 years and older, who were less than 3 weeks post-injury, and receiving some rehabilitation. Participants completed a questionnaire which included the Center for Epidemiologic Studies Depression Scale (CES-D), Beck Anxiety Inventory (BAI), and Davidson Trauma Scale (DTS) as well as questions regarding demographics, details of the collision/injury, alcohol/drug use, pain, past and present stressors, social support, and perceptions of life change. Information about head injury and collision-concurrent alcohol and/or drug use was collected from the patient's medical chart. Compared to other traumatic experiences (e.g., physical/sexual abuse, war combat), transportation-related collisions share the characteristics of being sudden, unexpected, relatively brief in duration, and potentially lethal. Prior studies used diagnostic interviews to identify psychological distress in post hospitalized collision survivors. This study used questionnaire-based depression, anxiety, and trauma symptom inventories in a currently hospitalized sample and included head injured patients. As hypothesized there was a significant correlation between the CES-D total score and the BAI total score [Hypothesis 1], the DTS total score [Hypothesis 2], and collision concurrent alcohol and/or drug use (as indicated by medical chart records or score on the CAGE) [Hypothesis 3]. Further, there was a significant correlation between the patient's self-reported history of depression, anxiety, or stress reaction and CES-D, BAI, and DTS total scores, respectively [Hypothesis 4]. Also as hypothesized, perceived personal control of the past "events that caused the collision" was significantly correlated with the CES-D total score [Hypothesis 5] while perceived control of the present "life in general right now" was negatively correlated to the CES-D total score [Hypothesis 6]. Contrary to hypothesis, perceived control of the present "recovery process right now" was not correlated to the CES-D total score [Hypothesis 6] nor was perceived control of the future "preventing a collision like this from happening...again" [Hypothesis 7]. Perception of control by "others" of the present "recovery process right now" was negatively correlated to the CES-D total score. Results support the theory that perceived personal control of past traumatic events increases the likelihood of psychological distress. Some evidence of post traumatic growth was found.

The visual search task carried out by X-ray screening personnel has begun to be investigated in a number of recent experiments. The goal of the present thesis was, therefore, to extend previous examinations of the factors that may be detrimental to screener performance, to understand those factors in more detail, and to bring those factors to bear upon current models of visual search. It has been argued that screener performance is impaired by searching for infrequent targets (the prevalence effect), by searching for several targets simultaneously (the dual-target cost), and by the tumultuous environment in which screeners work . Over the course of six experiments, these factors, and, in some cases, the interaction between these factors, was examined. Experiments 1, 2 and 3 explored the role that the prevalence effect and the dual-target cost have upon the performance of untrained participants. Experiment 4 revealed that airport screeners are, in fact, vulnerable to both the prevalence effect and the dual-target cost, highlighting the relevance of the present work to those working in an applied environment. Experiment 5 tested the impact of ambient noise upon search performance and the dual-target cost, and found that ambient noise has no deleterious impact. Experiment 6 set the foundation for future research involving the impact of external distractions upon search performance, with the results showing that observers are slowed substantially when conducting even a simple mental arithmetic in conjunction with a search task. Based on the results from the experiments, it appears that actual screener performance could be improved by increasing the prevalence of ‘dummy’ items, as well as tasking with screeners to search for only a single target at any one time. Efforts could also be made to reduce sources of external distraction.

Changes in the top leadership position in U.S. airports occur frequently. The purpose of the present phenomenological study was to understand the shared, lived experiences of senior managers who work in a U.S. airport and who have undergone a change in the top leadership position. Airports are of critical importance to their local regions and communities and are economic engines for their respective regions. The results of the study may provide positive social change for airport staff and the surrounding community by drawing attention to the complexity in leadership transition. The study was grounded in organizational stress, uncertainty theory of stress, and person-environment fit theories. A purposive sampling method was used to recruit 11 participants who were senior managers at a U.S. airport and experienced a change in the top leadership position within the last 6 years. The interview data were analyzed using interpretive phenomenological reduction methods of epoche, eidetic reduction, and imaginative variation. Findings revealed that transitional leadership resulted in positive effects such as self-efficacy beliefs, commitment, and job satisfaction; it also resulted in negative effects such as disengagement, which appeared to be mediated by the active roles leaders took in meeting employee needs. Participants who valued their skills and contributions were better able to cope with changes and were more confident about their employment ability. This study contributes to positive social change by providing information for airport board members and staff to improve the process of hiring a CEO.

Master of Science
Department of Hospitality Management and Dietetics
Kevin L. Sauer
Understanding what motivates food handlers is important for developing effective interventions to increase compliance with food safety guidelines. Traditional food safety training techniques improve knowledge, but do not always result in improved performance in the workplace. Studies have consistently demonstrated the persuasive power of stories to influence beliefs and behavior. Transportation into a narrative world is a state of immersion into a story. When individuals are transported into the world of a story, they integrate story information into their real-world beliefs and behavior. In this study, foodservice employees were shown a brief video dramatizing a foodborne illness outbreak. Behavioral intent to comply with food safety guidelines was measured both before and after watching the video. Transportation into the story and story-specific beliefs were measured as well. Study results confirmed previous findings involving narrative transportation. Participants who were highly transported into the story of Glenda’s Horrible Day reported stronger food safety behavioral intent, specifically in areas highlighted by the story, after viewing the video. Highly transported participants also reported stronger agreement with food safety messages after viewing the video. For participants who experienced low transportation into the story, there were no significant increases in behavioral intent or story-specific beliefs after viewing the video. Highly transported participants were those who (a) were familiar with the story topic, (b) were mentally engaged with the story, (c) responded emotionally to the story, and (d) identified with and felt empathy for the story characters.

In order to perform their duties, airline pilots must have no clinical diagnosis of mental illness or any substance use disorder. However, provisions have been in place since the 1970s that provide for a return to work for airline pilots with alcohol problems. To date, over 5,000 airline pilots have undergone rehabilitation for Alcohol Use Disorder (AUD) and successfully returned to work. An important gap in the literature remains with regard to what extent improvements in cognitive performance may be experienced by airline pilots who complete treatment and to what extent age influences the amount of change. This study examined the archival data of 95 male Caucasian pilots who were assessed for cognitive performance shortly after entry to 30-day inpatient treatment and approximately 5 months later during the return to work evaluation. A nonexperimental within subjects design compared pre- and post-treatment scores on the Wechsler Adult Intelligence Scale-IV (WAIS-IV) full scale and 4 index scores as well as differences for age groups (25 to 44, 45 to 54, and 55 to 64). Repeated measures ANOVA revealed that there were significant gains on all WAIS-IV measures pre-post treatment for AUD. MANOVA results indicated no differences between age groups. These findings support current Federal Aviation Administration program practices with regard to returning airline pilots to work following rehabilitation and a sufficient period of abstinence. The potential of this study to promote the agenda of social change may be substantive for raising awareness of the cognitive deficits associated with AUD and how these may impact the safety of flight operations.

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The purpose of this study is to deal with the traffic issue as a complex social practice, and its intention is to raise and analyze the cognitive system produced by this practice on bus drivers of the conventional and alternative transportation metro system in the city of Goiania. Therefore, the study searched for the representative system that orients and justifies its conduction practices. The expected impact of this study was the contribution of a psychosocial model of traffic study, specifically of the metro transportation, thus, getting to know better how these groups represent reality. The metro transportation structure of the city of Goiania is constituted by the conventional system of metro transportation, where the vehicle used is the bus, and by one alternative metro system, that uses the microbus. To get to know the traffic representations of these groups and some particulars related to them, it was made a research which was methodologically oriented by the Theory of the Central Nucleus of the Social Representations. It was applied a questionnaire to 103 (one hundred and three) bus drivers and to 118 (one hundred eighteen) microbus drivers of the city of Goiania and its metropolitan region. The results indicated that both groups have a representation centered on the idea of tumult and stress , and a negative view of the behavior of others drivers. However, these representations are different when it is analyzed the meaning given to the elements that supposedly compose the central nucleus, which can illustrate the different work situation in the traffic of both groups interviewed.
Este trabalho objetivou tratar a questão do trânsito como uma prática social complexa, e teve a intenção de levantar e analisar o sistema cognitivo engendrado por essa prática em motoristas de transporte coletivo convencional e transporte alternativo na cidade de Goiânia. Assim, preocupou-se em conhecer o sistema representacional que orienta e justifica as suas práticas de condução. O impacto esperado deste trabalho foi de contribuir para um modelo psicossocial de estudo do trânsito, especificamente do transporte coletivo, conhecendo melhor como esses grupos representam a realidade. A estrutura de transporte coletivo de Goiânia é constituída pelo sistema convencional de transporte coletivo, cujo veículo utilizado é o ônibus, e por um sistema alternativo de transporte coletivo, que utiliza microônibus. Para conhecer as representações desses grupos sobre o trânsito e alguns fatores a ele relacionados, realizou-se uma pesquisa metodologicamente orientada pela Teoria do Núcleo Central das Representações Sociais. Foi aplicado um questionário em 103 (cento e três) sujeitos motoristas de ônibus e em 118 (cento e dezoito) sujeitos motoristas de microônibus da cidade de Goiânia e região metropolitana. Os resultados indicaram que os dois grupos têm uma representação centrada na idéia de tumulto e stress e uma visão negativa do comportamento dos outros motoristas. Contudo, essas representações são diferentes quando se analisa o significado atribuído aos elementos que supostamente compõem o núcleo central, ilustrando, como é diferente a situação do trânsito para os dois grupos entrevistados.

Cultivation theory suggests that using second-order judgments, viewers may become immersed into a narrative program via narrative transportation. Highly transported viewers make very frequent trait judgments, forming impressions and attitudes about characters, anticipating outcomes, and making constant reevaluations when surprises occur. Narrative transportation can often lead to persuasion by bringing viewers to a highly involved mental state. Due to narrative transportation’s persuasive quality, research has reviewed the relationship of narrative transportation within advertisements

This research will build on the literature by examining the extent to which narrative transportation intervenes with the viewer’s attitude towards the Dr. Pepper brand via product placement, incorporating individual difference variables of materialism, cognitive attention, and need for fantasy. The two-group posttest only with a control group experiment manipulates the variables through two different viewing programs. The first program induces narrative transportation, while the second program is interrupted so that there is no narrative flow.

Volunteer participants will be selected from CMCN 100 classes. A simple linear regression will be used to determine the effects of immersion.

Autonomous, otherwise known as self-driving, vehicles represent the future of transportation. Vehicles that drive themselves offer far reaching benefits from increased leisure and productivity for individuals to significant improvements in congestion and infrastructure for governments. The autonomous car will radically change the way we look at transportation, and they are right around the corner. However, the question remains: are we ready? Are we, as a society, ready to hand over the steering the wheel and trust autonomous vehicles with our safety? This paper predicts how the autonomous car will spread through society by analyzing and applying the product qualities and consumer types described in Everett Rogers’ Diffusion of Innovations Theory. Corporations, specifically Uber and Amazon, as opposed to individual consumers, will be the first to adapt, purchase and implement autonomous vehicles. Contrary to popular belief, these vehicles will not be successfully introduced as privately owned vehicles, and therefore, must be marketed towards corporations and organizations.

Holiday air travel behaviors are nowadays a significant issue in relation to climate change and sustainable tourism. Indeed, transportation, and especially air transportation, have a significant role in climate change. Hence, it is important that the tourism industry includes the transportation sector when developing solutions for sustainable tourism. As students are the future main target group of this industry, it is important to understand the reasons behind their choices. Until now, travel behaviors have been explained using single and specific theories, which did not include many factors explaining holiday air travel decisions. In this study, this concern is addressed by combining two theories in relation to behavior formation - the theory of planned behavior and the value-belief-norm theory - in order to understand all motivations and barriers behind students’ holiday air travel behaviors. The analysis of the findings shows that many internal and external factors affect students decisions in regards to flying during holidays, including values, beliefs, social and personal norms, as well as accessibility, country of origin, price, time, distance, and social influence. However, the analysis of the results also demonstrates two gaps between attitudes and behaviors within the student community, which link to the cognitive dissonance theory: an awareness-attitude behavior gap and a contextual gap. The paper argues that while the theory of planned behavior and the value-belief-norm theory can be used simultaneously in order to analyze decisions regarding holiday air transportation, they are not sufficient as these two gaps emerged. The study concludes suggesting destination developers and national governments to take into account the present factors behind students’ decisions in order to develop sustainable destinations.

Many functions that at one time could only be performed by humans can nowadays be carried out by machines. Automation impacts many areas of life including work, home, communication and mobility. In the driving context, in-vehicle automation is considered to provide solutions for environmental, economic, safety and societal challenges. However, automation changes the driving task and the human-machine interaction. Thus, the expected benefit of in-vehicle automation can be undermined by changes in drivers’ behaviour, i.e. behavioural adaptation. This PhD project focuses on motivational as well as higher cognitive processes underlying behavioural adaptation when interacting with in-vehicle automation. Motivational processes include the development of trust and acceptance, whereas higher cognitive processes comprise the learning process as well as the development of mental models and Situation Awareness (SA). As an example for in-vehicle automation, the advanced driver assistance system Adaptive Cruise Control (ACC) was investigated. ACC automates speed and distance control by maintaining a constant set cruising speed and automatically adjusting vehicle’s velocity in order to provide a specified distance to the preceding vehicle. However, due to sensor limitations, not every situation can be handled by the system and therefore driver intervention is required. Trust, acceptance and an appropriate mental model of the system functionality are considered key variables for adequate use and appropriate SA. To systematically investigate changes in motivational and higher cognitive processes, a driving simulator as well as an on-road study were carried out. Both of the studies were conducted using a repeated-measures design, taking into account the process character, i.e. changes over time. The main focus was on the development of trust, acceptance and the mental model of novice users when interacting with ACC. By now, only few studies have attempted to assess changes in higher level cognitive processes, due to methodological difficulties posed by the dynamic task of driving. Therefore, this PhD project aimed at the elaboration and validation of innovative methods for assessing higher cognitive processes, with an emphasis on SA and mental models. In addition, a new approach for analyzing big and heterogeneous data in social science was developed, based on the use of relational databases. The driving simulator study investigated the effect of divergent initial mental models of ACC (i.e., varying according to correctness) on trust, acceptance and mental model evolvement. A longitudinal study design was applied, using a two-way (3×3) repeated measures mixed design with a matched sample of 51 subjects. Three experimental groups received (1) a correct ACC description, (2) an incomplete and idealised account omitting potential problems, and (3) an incorrect description including non-occurring problems. All subjects drove a 56-km track of highway with an identical ACC system, three times, and within a period of 6 weeks. Results showed that after using the system, participants’ mental model of ACC converged towards the profile of the correct group. Non-experienced problems tended to disappear from the mental model network when they were not activated by experience. Trust and acceptance grew steadily for the correct condition. The same trend was observed for the group with non-occurring problems, starting from a lower initial level. Omitted problems in the incomplete group led to a constant decrease in trust and acceptance without recovery. This indicates that automation failures do not negatively affect trust and acceptance if they are known beforehand. During each drive, participants continuously completed a visual secondary task, the Surrogate Reference Task (SURT). The frequency of task completion was used as objective online-measure for SA, based on the principle that situationally aware driver would reduce the engagement in the secondary task if they expect potentially critical situations. Results showed that correctly informed drivers were aware of potential system limitations and reduced their engagement in the secondary task when such situations arose. Participants with no information about limitations became only aware after first encounter and reduced secondary task engagement in corresponding situations during subsequent trials. However, trust and acceptance in the system declined over time due to the unexpected failures. Non occurring limitations tended to drop from the mental model and resulted in reduced SA already in the second trial. The on-road study investigated the learning process, as well as the development of trust, acceptance and the mental model for interacting with ACC in real conditions. Research questions aimed to model the learning process in mathematical/statistical terms, examine moments and conditions when these processes stabilize, and assess how experience changes the mental model of the system. A sample of fifteen drivers without ACC experience drove a test vehicle with ACC ten consecutive times on the same route within a 2-month period. In contrast to the driving simulator study, all participants were fully trained in ACC functionality by reading the owner’s manual in the beginning. Results showed that learning, as well as the development of acceptance and trust in ACC follows the power law of learning, in case of comprehensive prior information on system limitations. Thus, the major part of the learning process occurred during the first interaction with the system and support in explaining the systems abilities (e.g. by tutoring systems) should therefore primarily be given during this first stage. All processes stabilized at a relatively high level after the fifth session, which corresponds to 185 km or 3.5 hours of driving. No decline was observable with ongoing system experience. However, in line with the findings from the simulator study, limitations that are not experienced tended to disappear from the mental model if they were not activated by experience. With regard to the validation of the developed methods for assessing mental models and SA, results are encouraging. The studies show that the mental model questionnaire is able to provide insights into the construction of mental models and the development over time. Likewise, the implicit measurement approach to assess SA online in the driving simulator is sensitive to user’s awareness of potentially critical situations. In terms of content, the results of the studies prove the enduring relevance of the initial mental model for the learning process, SA, as well as the development of trust, acceptance and a realistic mental model about automation capabilities and limitations. Given the importance of the initial mental model it is recommended that studies on system trust and acceptance should include, and attempt to control, users’ initial mental model of system functionality. Although the results showed that also incorrect and incomplete initial mental models converged by experience towards a realistic appreciation of system functionality, the more cognitive effort needed to update the mental model, the lower trust and acceptance. Providing an idealised description, which omits potential problems, only leads to temporarily higher trust and acceptance in the beginning. The experience of unexpected limitations results in a steady decrease in trust and acceptance over time. A trial-and-error strategy for in-vehicle automation use, without accompanying information, is therefore considered insufficient for developing stable trust and acceptance. If the mental model matches experience, trust and acceptance grow steadily following the power law of learning – regardless of the experience of system limitations. Provided that such events are known in advance, they will not cause a decrease in trust and acceptance over time. Even over-information about potential problems lowers trust and acceptance only in the beginning, and not in the long run. Potential problems should therefore not be concealed in over-idealised system descriptions; the more information given, the better, in the long run. However, limitations that are not experienced tend to disappear from the mental model. Therefore, it is recommended that users be periodically reminded of system limitations to make sure that corresponding knowledge becomes re-activated. Intelligent tutoring systems incorporated in automated systems could provide a solution. In the driving context, periodic reminders about system limitations could be shown via the multifunction displays integrated in most modern cars. Tutoring systems could also be used to remind the driver of the presence of specific in-vehicle automation systems and reveal their benefits
Viele Aufgaben, die ehemals von Menschen ausgeführt wurden, werden heute von Maschinen übernommen. Dieser Prozess der Automatisierung betrifft viele Lebensbereiche von Arbeit, Wohnen, Kommunikation bis hin zur Mobilität. Im Bereich des Individualverkehrs wird die Automatisierung von Fahrzeugen als Möglichkeit gesehen, zukünftigen Herausforderungen wirtschaftlicher, gesellschaftlicher und umweltpolitischer Art zu begegnen. Allerdings verändert Automatisierung die Fahraufgabe und die Mensch-Technik Interaktion im Fahrzeug. Daher können beispielsweise erwartete Sicherheitsgewinne automatisch agierender Assistenzsysteme durch Veränderungen im Verhalten des Fahrers geschmälert werden, was als Verhaltensanpassung (behavioural adaptation) bezeichnet wird. Dieses Dissertationsprojekt untersucht motivationale und höhere kognitive Prozesse, die Verhaltensanpassungen im Umgang mit automatisierten Fahrerassistenzsystemen zugrunde liegen. Motivationale Prozesse beinhalten die Entwicklung von Akzeptanz und Vertrauen in das System, unter höheren kognitiven Prozessen werden Lernprozesse sowie die Entwicklung von mentalen Modellen des Systems und Situationsbewusstsein (Situation Awareness) verstanden. Im Fokus der Untersuchungen steht das Fahrerassistenzsystem Adaptive Cruise Control (ACC) als ein Beispiel für Automatisierung im Fahrzeug. ACC regelt automatisch die Geschwindigkeit des Fahrzeugs, indem bei freier Fahrbahn eine eingestellte Wunschgeschwindigkeit und bei einem Vorausfahrer automatisch ein eingestellter Abstand eingehalten wird. Allerdings kann ACC aufgrund von Einschränkungen der Sensorik nicht jede Situation bewältigen, weshalb der Fahrer übernehmen muss. Für diesen Interaktionsprozess spielen Vertrauen, Akzeptanz und das mentale Modell der Systemfunktionalität eine Schlüsselrolle, um einen sicheren Umgang mit dem System und ein adäquates Situationsbewusstsein zu entwickeln. Zur systematischen Erforschung dieser motivationalen und kognitiven Prozesse wurden eine Fahrsimulatorstudie und ein Versuch im Realverkehr durchgeführt. Beide Studien wurden im Messwiederholungsdesign angelegt, um dem Prozesscharakter gerecht werden und Veränderungen über die Zeit erfassen zu können. Die Entwicklung von Vertrauen, Akzeptanz und mentalem Modell in der Interaktion mit ACC war zentraler Forschungsgegenstand beider Studien. Bislang gibt es wenige Studien, die kognitive Prozesse im Kontext der Fahrzeugführung untersucht haben, unter anderem auch wegen methodischer Schwierigkeiten in diesem dynamischen Umfeld. Daher war es ebenfalls Teil dieses Dissertationsprojekts, neue Methoden zur Erfassung höherer kognitiver Prozesse in dieser Domäne zu entwickeln, mit Fokus auf mentalen Modellen und Situationsbewusstsein. Darüber hinaus wurde auch ein neuer Ansatz für die Analyse großer und heterogener Datenmengen im sozialwissenschaftlichen Bereich entwickelt, basierend auf dem Einsatz relationaler Datenbanken. Ziel der der Fahrsimulatorstudie war die systematische Erforschung des Effekts von unterschiedlich korrekten initialen mentalen Modellen von ACC auf die weitere Entwicklung des mentalen Modells, Vertrauen und Akzeptanz des Systems. Eine Stichprobe von insgesamt 51 Probanden nahm an der Studie teil; der Versuch wurde als zweifaktorielles (3x3) gemischtes Messwiederholungsdesign konzipiert. Die 3 parallelisierten Versuchsgruppen zu je 17 Personen erhielten (1) eine korrekte Beschreibung des ACC, (2) eine idealisierte Beschreibung unter Auslassung auftretender Systemprobleme und (3) eine überkritische Beschreibung mit zusätzlichen Hinweisen auf Systemprobleme, die nie auftraten. Alle Teilnehmer befuhren insgesamt dreimal im Zeitraum von sechs Wochen dieselbe 56 km lange Autobahnstrecke im Fahrsimulator mit identischem ACC-System. Mit zunehmendem Einsatz des ACC zeigte sich im anfänglich divergierenden mentalen Modell zwischen den Gruppen eine Entwicklung hin zum mentalen Modell der korrekt informierten Gruppe. Nicht erfahrene Systemprobleme tendierten dazu, im mentalen Modell zu verblassen, wenn sie nicht durch Erfahrung reaktiviert wurden. Vertrauen und Akzeptanz stiegen stetig in der korrekt informierten Gruppe. Dieselbe Entwicklung zeigte sich auch in der überkritisch informierten Gruppe, wobei Vertrauen und Akzeptanz anfänglich niedriger waren als in der Bedingung mit korrekter Information. Verschwiegene Systemprobleme führten zu einer konstanten Abnahme von Akzeptanz und Vertrauen ohne Erholung in der Gruppe mit idealisierter Beschreibung. Diese Resultate lassen darauf schließen, dass Probleme automatisierter Systeme sich nicht zwingend negativ auf Vertrauen und Akzeptanz auswirken, sofern sie vorab bekannt sind. Bei jeder Fahrt führten die Versuchsteilnehmer zudem kontinuierlich eine visuell beanspruchende Zweitaufgabe aus, die Surrogate Reference Task (SURT). Die Frequenz der Zweitaufgabenbearbeitung diente als objektives Echtzeitmaß für das Situationsbewusstsein, basierend auf dem Ansatz, dass situationsbewusste Fahrer die Zuwendung zur Zweitaufgabe reduzieren wenn sie potentiell kritische Situationen erwarten. Die Ergebnisse zeigten, dass die korrekt informierten Fahrer sich potentiell kritischer Situationen mit möglichen Systemproblemen bewusst waren und schon im Vorfeld der Entstehung die Zweitaufgabenbearbeitung reduzierten. Teilnehmer ohne Informationen zu auftretenden Systemproblemen wurden sich solcher Situationen erst nach dem ersten Auftreten bewusst und reduzierten in entsprechenden Szenarien der Folgefahrten die Zweitaufgabenbearbeitung. Allerdings sanken Vertrauen und Akzeptanz des Systems aufgrund der unerwarteten Probleme. Erwartete, aber nicht auftretende Systemprobleme tendierten dazu, im mentalen Modell des Systems zu verblassen und resultierten in vermindertem Situationsbewusstsein bereits in der zweiten Fahrt. Im Versuch unter Realbedingungen wurden der Lernprozesses sowie die Entwicklung des mentalen Modells, Vertrauen und Akzeptanz von ACC im Realverkehr erforscht. Ziele waren die statistisch/mathematische Modellierung des Lernprozesses, die Bestimmung von Zeitpunkten der Stabilisierung dieser Prozesse und wie sich reale Systemerfahrung auf das mentale Modell von ACC auswirkt. 15 Versuchsteilnehmer ohne ACC-Erfahrung fuhren ein Serienfahrzeug mit ACC insgesamt 10-mal auf der gleichen Strecke in einem Zeitraum von 2 Monaten. Im Unterschied zur Fahrsimulatorstudie waren alle Teilnehmer korrekt über die ACC-Funktionen und Funktionsgrenzen informiert durch Lesen der entsprechenden Abschnitte im Fahrzeughandbuch am Beginn der Studie. Die Ergebnisse zeigten, dass der Lernprozess sowie die Entwicklung von Akzeptanz und Vertrauen einer klassischen Lernkurve folgen – unter der Bedingung umfassender vorheriger Information zu Systemgrenzen. Der größte Lernfortschritt ist am Beginn der Interaktion mit dem System sichtbar und daher sollten Hilfen (z.B. durch intelligente Tutorsysteme) in erster Linie zu diesem Zeitpunkt gegeben werden. Eine Stabilisierung aller Prozesse zeigte sich nach der fünften Fahrt, was einer Fahrstrecke von rund 185 km oder 3,5 Stunden Fahrzeit entspricht. Es zeigten sich keine Einbrüche in Akzeptanz, Vertrauen bzw. dem Lernprozess durch die gemachten Erfahrungen im Straßenverkehr. Allerdings zeigte sich – analog zur Fahrsimulatorstudie – auch in der Realfahrstudie ein Verblassen von nicht erfahrenen Systemgrenzen im mentalen Modell, wenn diese nicht durch Erfahrungen aktiviert wurden. Im Hinblick auf die Validierung der neu entwickelten Methoden zur Erfassung von mentalen Modellen und Situationsbewusstsein sind die Resultate vielversprechend. Die Studien zeigen, dass mit dem entwickelten Fragebogenansatz zur Quantifizierung des mentalen Modells Einblicke in Aufbau und Entwicklung mentaler Modelle gegeben werden können. Der implizite Echtzeit-Messansatz für Situationsbewusstsein im Fahrsimulator zeigt sich ebenfalls sensitiv in der Erfassung des Bewusstseins von Fahrern für potentiell kritische Situationen. Inhaltlich zeigen die Studien die nachhaltige Relevanz des initialen mentalen Modells für den Lernprozess sowie die Entwicklung von Situationsbewusstsein, Akzeptanz, Vertrauen und die weitere Ausformung eines realistischen mentalen Modells der Möglichkeiten und Grenzen automatisierter Systeme. Aufgrund dieser Relevanz wird die Einbindung und Kontrolle des initialen mentalen Modells in Studien zu automatisierten Systemen unbedingt empfohlen. Die Ergebnisse zeigen zwar, dass sich auch unvollständige bzw. falsche mentale Modelle durch Erfahrungslernen hin zu einer realistischen Einschätzung der Systemmöglichkeiten und -grenzen verändern, allerdings um den Preis sinkenden Vertrauens und abnehmender Akzeptanz. Idealisierte Systembeschreibungen ohne Hinweise auf mögliche Systemprobleme bringen nur anfänglich etwas höheres Vertrauen und Akzeptanz. Das Erleben unerwarteter Probleme führt zu einem stetigen Abfall dieser motivationalen Faktoren über die Zeit. Ein alleiniges Versuchs-Irrtums-Lernen für den Umgang mit automatisierter Assistenz im Fahrzeug ohne zusätzliche Information wird daher als nicht ausreichend für die Entwicklung stabilen Vertrauens und stabiler Akzeptanz betrachtet. Wenn das initiale mentale Modell den Erfahrungen entspricht, entwickeln sich Akzeptanz und Vertrauen gemäß einer klassischen Lernkurve – trotz erlebter Systemgrenzen. Sind diese potentiellen Probleme vorher bekannt, führen sie nicht zwingend zu einer Reduktion von Vertrauen und Akzeptanz. Auch zusätzliche überkritische Information vermindert Vertrauen und Akzeptanz nur am Beginn, aber nicht langfristig. Daher sollen potentielle Probleme in automatisierten Systemen nicht in idealisierten Beschreibungen verschwiegen werden – je präzisere Information gegeben wird, desto besser im langfristigen Verlauf. Allerdings tendieren nicht erfahrene Systemgrenzen zum Verblassen im mentalen Modell. Daher wird empfohlen, Nutzer regelmäßig an diese Systemgrenzen zu erinnern um die entsprechenden Facetten des mentalen Modells zu reaktivieren. In automatisierten Systemen integrierte intelligente Tutorsysteme könnten dafür eine Lösung bieten. Im Fahrzeugbereich könnten solche periodischen Erinnerungen an Systemgrenzen in Multifunktionsdisplays angezeigt werden, die mittlerweile in vielen modernen Fahrzeugen integriert sind. Diese Tutorsysteme können darüber hinaus auch auf die Präsenz eingebauter automatisierter Systeme hinweisen und deren Vorteile aufzeigen

abstract: Communications between air traffic controllers and pilots are critical to national airspace traffic management. Measuring communications in real time made by pilots and air traffic controllers has the potential to predict human error. In this thesis a measure for Deviations from Closed Loop Communications is defined and tested to predict a human error event, Loss of Separation (LOS). Six retired air traffic controllers were recruited and tested in three conditions of varying workload in an Terminal Radar Approach Control Facility (TRACON) arrival radar simulation. Communication transcripts from simulated trials were transcribed and coding schemes for Closed Loop Communication Deviations (CLCD) were applied. Results of the study demonstrated a positive correlation between CLCD and LOS, indicating that CLCD could be a variable used to predict LOS. However, more research is required to determine if CLCD can be used to predict LOS independent of other predictor variables, and if CLCD can be used in a model that considers many different predictor variables to predict LOS.
Dissertation/Thesis
Masters Thesis Human Systems Engineering 2020

abstract: Future autonomous vehicle systems will be diverse in design and functionality since they will be produced by different brands. In the automotive industry, trustworthiness of a vehicle is closely tied to its perceived safety. Trust involves dependence on another agent in an uncertain situation. Perceptions of system safety, trustworthiness, and performance are important because they guide people’s behavior towards automation. Specifically, these perceptions impact how reliant people believe they can be on the system to do a certain task. Over or under reliance can be a concern for safety because they involve the person allocating tasks between themselves and the system in inappropriate ways. If a person trusts a brand they may also believe the brand’s technology will keep them safe. The present study measured brand trust associations and performance expectations for safety between twelve different automobile brands using an online survey. The literature and results of the present study suggest perceived trustworthiness for safety of the automation and the brand of the automation, could together impact trust. Results revelated that brands closely related to the trust-based attributes, Confidence, Secure, Integrity, and Trustworthiness were expected to produce autonomous vehicle technology that performs in a safer way. While, brands more related to the trust-based attributes Harmful, Deceptive, Underhanded, Suspicious, Beware, and Familiar were expected to produce autonomous vehicle technology that performs in a less safe way. These findings contribute to both the fields of Human-Automation Interaction and Consumer Psychology. Typically, brands and automation are discussed separately however, this work suggests an important relationship may exist. A deeper understanding of brand trust as it relates to autonomous vehicles can help producers understand potential for over or under reliance and create safer systems that help users calibrate trust appropriately. Considering the impact on safety, more research should be conducted to explore brand trust and expectations for performance between various brands.
Dissertation/Thesis
Masters Thesis Human Systems Engineering 2018

abstract: Modern day driving continues to burgeon with attention detractors found inside and outside drivers' vehicles (e.g. cell phones, other road users, etc.). This study explores a regularly disregarded attention detractor experienced by drivers: self-regulation. Results suggest self-regulation and WMC has the potential to affect attentional control, producing maladaptive changes in driving performance in maximum speed, acceleration, and time headway.
Dissertation/Thesis
M.S. Applied Psychology 2012

The impact of transportation concerning older adults is under scrutiny as the number of older adults is expected to significantly increase in the coming years. The World Health Organization (WHO) spearheaded a world wide initiative that sought to examine what contributed to an “age-friendly community” in both developed and underdeveloped nations. This paper examines, in particular, the role that transportation plays in relation and contribution to an “age-friendly” community in Saanich, British Columbia, as an addition to the WHO initiative. Focus groups were conducted to ensure that information received was the lived experience of the individual. Results suggested that transportation was more than the ability to operate a vehicle, but in the ability to move safely within an environment. Additional information provided by participants spoke to the necessity of increasing awareness of licensing systems and improvements that could be implemented to ensure safety for older adult drivers and the community.

This study evaluated anticipated changes to quality of life (QoL) from a reduction in private vehicle use, and the impact of social normative information on willingness to change transportation behaviour. Staff and students at the University of Victoria completed transport journals for a month, and participants in the low or high social norm condition received divergent information about the percentage of others who had switched to sustainable commuting. Unexpectedly, message content did not predict behavioural change, but mere receipt of a message, versus the control condition, did predict change. The results suggest that sustainable transport campaigns should highlight others‟ cooperation, regardless of their rate of cooperation, and target commuting behavior. Also, participants expected decreases to individually relevant QoL items and improvements to collectively relevant QoL items under a hypothetical reduction in private vehicle use. The findings may be employed by policy-makers to increase acceptance of transportation policies.

Widespread adoption of plug-in electric vehicles (PEVs) can help to achieve deep reductions in global greenhouse gas emissions; however, the degree to which this potential will be realized depends on consumers’ decisions to purchase these vehicles over conventional ones. To provide comprehensive insight into the psychological and contextual influences on consumer vehicle preferences, three studies were performed using a mixed-methods approach. Study 1 employed a survey and stated choice experiment to explore: 1) the explanatory power of the three psychological variables from Ajzen’s (1991; 2005) theory of planned behaviour in predicting PEV purchase intentions among new vehicle buyers from British Columbia, and 2) the influence of hypothetical variations in financial and non-financial incentives on estimated PEV preference, with the goal of informing the design of provincial policy measures. Vehicle preferences were most strongly influenced by purchase price and point-of-sale incentives – with a roughly 4% forecasted increase in PEV new vehicle market share under a $5,000 purchase rebate – as well as by attitudes about PEVs (especially concerning personally-relevant PEV benefits), perceived behavioural control, and social norms. In Study 2, a latent class choice model was used to integrate survey and choice experiment data to characterize consumer classes based on vehicle preferences, demographic characteristics, and psychological variables. Findings revealed profiles of five distinct preference-based segments and demonstrated that the inclusion of psychological covariates can improve the fit of such latent class models. Study 3 extended these findings through a controlled message framing experiment that evaluated the impact of psychological distance on PEV purchase intentions. Results demonstrated that messages emphasizing both personally-relevant and societally-relevant PEV benefits increased related purchase intentions compared to the control group. Taken together, these findings may be useful in the development of PEV policies as well as targeted marketing and communications strategies aimed at supporting a transition to PEVs within Canada.
Graduate
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christine.kormos@gmail.com

En raison des progrès technologiques, les comportements sédentaires (souvent devant un écran) sont devenus les activités de loisir préférées pour beaucoup d’enfants, au lieu de s’engager dans le jeu actif, des sports ou d’autres activités requérant de l’effort physique. L’utilisation de transport actif est aussi en déclin, la majorité des enfants se rendant à l’école en voiture ou dans d’autres moyens de transport passifs. Pourtant, l’inactivité et la sédentarité constituent des facteurs de risque pour de multiples problèmes de santé physique et mentale. Tel que décrit dans le premier chapitre, les bienfaits de l’activité physique sur le bien-être sont bien documentés et les risques associés aux comportements sédentaires sont de plus en plus étudiés. Néanmoins, la plupart des études ne regardent ces deux aspects que séparément et ne s’intéressent qu’à l’impact immédiat sur une dimension spécifique du bien-être. Le but de cette thèse doctorale était donc d’étudier le rôle que l’activité physique et les comportements sédentaires, à la fin de la maternelle, jouent sur le bien-être physique, cognitif et psychosocial au début de l’adolescence (deux périodes de transition importantes pour les enfants). Le premier article (Chapitre II) a examiné les associations prospectives entre la participation aux activités physiques pendant les loisirs, à l’âge de 6 ans, et le rendement scolaire à l’âge de 12 ans. Les résultats montrent que les enfants qui participent davantage aux sports et à d’autres activités physiques structurées et non structurées présentent de meilleurs résultats scolaires et un engagement en classe plus élevé six ans plus tard que les enfants qui s’adonnent moins à ces activités. Le deuxième article (Chapitre III) a examiné les liens prospectifs entre un mode de vie qui tient compte, simultanément, de la participation à des activités physiques pendant les loisirs, de l’utilisation de transport actif et du temps consacré aux comportements sédentaires (ordinateur, télévision et jeux vidéo), à l’âge de 6 ans, et des indicateurs reliés au rendement scolaire et au bien-être physique et psychosocial, à l’âge de 12 ans. Les résultats montrent que les enfants qui mènent un mode de vie plus actif/moins sédentaire avant de commencer la scolarité présentent, ultérieurement, des habitudes de vie plus saines (plus d’activité physique et moins de temps d’écran) et moins de troubles émotifs et de victimisation, comparativement aux enfants menant un mode de vie moins actif/plus sédentaire. Dans les deux articles, les associations spécifiques pour chaque genre ont également été explorées. Les résultats des analyses fondées sur le genre montrent que même si tant les filles que les garçons bénéficient d’être plus actifs/moins sédentaires, chaque sous-groupe éprouve les bienfaits différemment. Une discussion des principaux résultats et des implications est présentée dans le dernier chapitre. En somme, cette thèse souligne l’importance de promouvoir un mode de vie actif dès un âge précoce et de développer des communautés qui offrent aux enfants de multiples occasions de se maintenir actifs. Ceci permettra de prévenir les nombreux risques associés à l’inactivité et la sédentarité et de contribuer au bien-être des jeunes, à court et à long terme.
Due to advances in technology, sedentary behaviors (which typically involve screens) have become the preferred leisure activity for many children, instead of engaging in active play, sports, or other activities requiring physical effort. Due to urban sprawl, the use of active transportation is also in decline and most children travel to school by car or other passive means of transportation. However, physical inactivity and sedentariness are both risk factors for multiple physical and mental health problems. As described in the first chapter, the protective benefits of physical activity on well-being are well documented and the risks associated with sedentary behaviors are increasingly being studied. Nevertheless, most studies look at these two aspects separately and focus solely on the immediate impact on a specific sphere of well-being. The aim of this doctoral thesis was therefore to study, during two important transition periods in development, the links between physical activity and sedentary behavior in kindergarten and physical, cognitive, and psychosocial well-being while children transition out of elementary school. The first article (Chapter II) examined the prospective associations between participation in leisure-time physical activity at age 6 and academic performance at age 12. The results suggest that children who participate more in sports and other structured and unstructured physical activities perform better in school and present a higher classroom engagement six years later, than children who are less involved in these activities. The second article (Chapter III) examined the prospective links between a lifestyle that takes into account, at the same time, participation in leisure-time physical activity, use of active transportation, and time spent on sedentary behaviors (computer, television, and video games) at age 6, and several indicators related to academic performance and physical and psychosocial well-being at age 12. The results reveal that children who lead a more active/less sedentary lifestyle before starting school present healthier lifestyles (more physical activity and less screen time), fewer emotional disorders and less victimization later in life, compared to children leading a less active/more sedentary lifestyle. In both articles, gender-specific associations were also explored. The results of the gender-based analyses suggest that even if both girls and boys benefit from being more active/less sedentary, each gender experiences these benefits differently. A discussion of the main findings and implications is presented in the last chapter. In summary, this thesis highlights the importance of promoting an active lifestyle from an early age and the need of developing communities that provide children with multiple opportunities to stay physically active. This will help prevent the many risks associated with inactivity and sedentariness among youth and thus contribute to their well-being, both in the short and long term.

Enabling patients to be cared for in their preferred location often involves journeys between care settings. The challenge of ensuring journeys are timely and safe emerged as an important issue in an evaluation of palliative care services, which informed a service redesign programme in three areas of the United Kingdom by the Marie Curie Cancer Care 'Delivering Choice Programme'. This article explores perceptions of service users and key stakeholders of palliative care services about problems encountered in journeys between care settings during end-of-life care. This article draws on data from interviews with stakeholders (n = 44), patients (n = 16), carers (n = 19) and bereaved carers (n = 20); and focus groups (n = 9) with specialist nurses. Data were gathered in three areas of the United Kingdom. Data were analysed using a framework approach. Transport problems between care settings emerged as a key theme. Four particular problems were identified: (1) urgent need for transport due to patients' rapidly changing condition; (2) limited time to organise transfers; (3) the management of specialist equipment and (4) the need to clarify the resuscitation status of patients. Partnership working between Ambulance Services and secondary care is required to develop joint protocols of care to ensure timely and safe transportation between care settings of patients, who are near their end of life. Commissioning of services should be responsive to the complexities of patients' needs and those of their families.

Many functions that at one time could only be performed by humans can nowadays be carried out by machines. Automation impacts many areas of life including work, home, communication and mobility. In the driving context, in-vehicle automation is considered to provide solutions for environmental, economic, safety and societal challenges. However, automation changes the driving task and the human-machine interaction. Thus, the expected benefit of in-vehicle automation can be undermined by changes in drivers’ behaviour, i.e. behavioural adaptation. This PhD project focuses on motivational as well as higher cognitive processes underlying behavioural adaptation when interacting with in-vehicle automation. Motivational processes include the development of trust and acceptance, whereas higher cognitive processes comprise the learning process as well as the development of mental models and Situation Awareness (SA). As an example for in-vehicle automation, the advanced driver assistance system Adaptive Cruise Control (ACC) was investigated. ACC automates speed and distance control by maintaining a constant set cruising speed and automatically adjusting vehicle’s velocity in order to provide a specified distance to the preceding vehicle. However, due to sensor limitations, not every situation can be handled by the system and therefore driver intervention is required. Trust, acceptance and an appropriate mental model of the system functionality are considered key variables for adequate use and appropriate SA. To systematically investigate changes in motivational and higher cognitive processes, a driving simulator as well as an on-road study were carried out. Both of the studies were conducted using a repeated-measures design, taking into account the process character, i.e. changes over time. The main focus was on the development of trust, acceptance and the mental model of novice users when interacting with ACC. By now, only few studies have attempted to assess changes in higher level cognitive processes, due to methodological difficulties posed by the dynamic task of driving. Therefore, this PhD project aimed at the elaboration and validation of innovative methods for assessing higher cognitive processes, with an emphasis on SA and mental models. In addition, a new approach for analyzing big and heterogeneous data in social science was developed, based on the use of relational databases. The driving simulator study investigated the effect of divergent initial mental models of ACC (i.e., varying according to correctness) on trust, acceptance and mental model evolvement. A longitudinal study design was applied, using a two-way (3×3) repeated measures mixed design with a matched sample of 51 subjects. Three experimental groups received (1) a correct ACC description, (2) an incomplete and idealised account omitting potential problems, and (3) an incorrect description including non-occurring problems. All subjects drove a 56-km track of highway with an identical ACC system, three times, and within a period of 6 weeks. Results showed that after using the system, participants’ mental model of ACC converged towards the profile of the correct group. Non-experienced problems tended to disappear from the mental model network when they were not activated by experience. Trust and acceptance grew steadily for the correct condition. The same trend was observed for the group with non-occurring problems, starting from a lower initial level. Omitted problems in the incomplete group led to a constant decrease in trust and acceptance without recovery. This indicates that automation failures do not negatively affect trust and acceptance if they are known beforehand. During each drive, participants continuously completed a visual secondary task, the Surrogate Reference Task (SURT). The frequency of task completion was used as objective online-measure for SA, based on the principle that situationally aware driver would reduce the engagement in the secondary task if they expect potentially critical situations. Results showed that correctly informed drivers were aware of potential system limitations and reduced their engagement in the secondary task when such situations arose. Participants with no information about limitations became only aware after first encounter and reduced secondary task engagement in corresponding situations during subsequent trials. However, trust and acceptance in the system declined over time due to the unexpected failures. Non occurring limitations tended to drop from the mental model and resulted in reduced SA already in the second trial. The on-road study investigated the learning process, as well as the development of trust, acceptance and the mental model for interacting with ACC in real conditions. Research questions aimed to model the learning process in mathematical/statistical terms, examine moments and conditions when these processes stabilize, and assess how experience changes the mental model of the system. A sample of fifteen drivers without ACC experience drove a test vehicle with ACC ten consecutive times on the same route within a 2-month period. In contrast to the driving simulator study, all participants were fully trained in ACC functionality by reading the owner’s manual in the beginning. Results showed that learning, as well as the development of acceptance and trust in ACC follows the power law of learning, in case of comprehensive prior information on system limitations. Thus, the major part of the learning process occurred during the first interaction with the system and support in explaining the systems abilities (e.g. by tutoring systems) should therefore primarily be given during this first stage. All processes stabilized at a relatively high level after the fifth session, which corresponds to 185 km or 3.5 hours of driving. No decline was observable with ongoing system experience. However, in line with the findings from the simulator study, limitations that are not experienced tended to disappear from the mental model if they were not activated by experience. With regard to the validation of the developed methods for assessing mental models and SA, results are encouraging. The studies show that the mental model questionnaire is able to provide insights into the construction of mental models and the development over time. Likewise, the implicit measurement approach to assess SA online in the driving simulator is sensitive to user’s awareness of potentially critical situations. In terms of content, the results of the studies prove the enduring relevance of the initial mental model for the learning process, SA, as well as the development of trust, acceptance and a realistic mental model about automation capabilities and limitations. Given the importance of the initial mental model it is recommended that studies on system trust and acceptance should include, and attempt to control, users’ initial mental model of system functionality. Although the results showed that also incorrect and incomplete initial mental models converged by experience towards a realistic appreciation of system functionality, the more cognitive effort needed to update the mental model, the lower trust and acceptance. Providing an idealised description, which omits potential problems, only leads to temporarily higher trust and acceptance in the beginning. The experience of unexpected limitations results in a steady decrease in trust and acceptance over time. A trial-and-error strategy for in-vehicle automation use, without accompanying information, is therefore considered insufficient for developing stable trust and acceptance. If the mental model matches experience, trust and acceptance grow steadily following the power law of learning – regardless of the experience of system limitations. Provided that such events are known in advance, they will not cause a decrease in trust and acceptance over time. Even over-information about potential problems lowers trust and acceptance only in the beginning, and not in the long run. Potential problems should therefore not be concealed in over-idealised system descriptions; the more information given, the better, in the long run. However, limitations that are not experienced tend to disappear from the mental model. Therefore, it is recommended that users be periodically reminded of system limitations to make sure that corresponding knowledge becomes re-activated. Intelligent tutoring systems incorporated in automated systems could provide a solution. In the driving context, periodic reminders about system limitations could be shown via the multifunction displays integrated in most modern cars. Tutoring systems could also be used to remind the driver of the presence of specific in-vehicle automation systems and reveal their benefits.:Table of contents LIST OF FIGURES I LIST OF TABLES II LIST OF ABBREVIATIONS III ACKNOWLEDGEMENTS IV SUMMARY V ZUSAMMENFASSUNG VIII 1 INTRODUCTION 12 2 THEORETICAL BACKGROUND 14 2.1 BEHAVIOURAL ADAPTATION AND HIGHER COGNITIVE PROCESSES 14 2.2 VEHICLE AUTOMATION AND ADAPTIVE CRUISE CONTROL 17 2.3 MENTAL MODELS 20 2.3.1 Definition 20 2.3.2 Mental model construction and update 20 2.3.3 Discussion of existing measures 21 2.3.4 Development of the mental model questionnaire 23 2.4 SITUATION AWARENESS 24 2.4.1 Definition 24 2.4.2 Relationship between mental models and Situation Awareness 26 2.4.3 Situation Awareness as comprehension process 27 2.4.4 Discussion of existing measures 27 2.4.5 Development of the Situation Awareness measurement technique 29 2.5 LEARNING, ACCEPTANCE AND TRUST IN AUTOMATION 30 2.5.1 Power law of learning 30 2.5.2 Acceptance 31 2.5.3 Trust in automation 31 2.5.4 Related research on learning, acceptance and trust in ACC 32 3 OVERALL RESEARCH QUESTIONS 34 4 OVERALL METHODOLOGICAL CONSIDERATIONS 35 4.1 DRIVING SIMULATOR STUDIES AND ON-ROAD TESTS 35 4.2 DATABASE-FRAMEWORK FOR DATA STORAGE AND ANALYSIS 37 5 DRIVING SIMULATOR STUDY 42 5.1 AIMS AND RESEARCH QUESTIONS 42 5.2 METHOD AND MATERIAL 43 5.2.1 Sampling and participants 43 5.2.2 Research design and procedure 44 5.2.3 Facilities and driving simulator track 45 5.2.4 Secondary task SURT 46 5.2.5 System description 46 5.2.6 Dependent variables trust, acceptance and mental model 47 5.2.7 Contrast analysis 48 5.3 RESULTS 49 5.3.1 Mental model 49 5.3.2 Trust and acceptance 51 5.3.3 Situation Awareness 52 5.4 DISCUSSION 56 6 ON-ROAD STUDY 59 6.1 AIMS AND RESEARCH QUESTIONS 59 6.2 METHOD AND MATERIAL 59 6.2.1 Research design and procedure 59 6.2.2 Sampling and participants 60 6.2.3 Facilities and apparatus 60 6.2.4 Dependent variables mental model, trust, acceptance, learning and ACC usage 62 6.3 RESULTS 63 6.3.1 ACC usage 63 6.3.2 Trust and acceptance 64 6.3.3 Learning 65 6.3.4 Mental model 67 6.4 DISCUSSION 68 7 GENERAL DISCUSSION AND CONCLUSIONS 70 7.1 THEORETICAL AND PRACTICAL CONSIDERATIONS 70 7.2 METHODOLOGICAL CONSIDERATIONS 71 7.3 LIMITATIONS AND DIRECTIONS FOR FUTURE RESEARCH 74 8 REFERENCES 76 9 APPENDIX 88 9.1 QUESTIONNAIRES USED IN THE DRIVING SIMULATOR STUDY 88 9.1.1 Original German version 88 9.1.2 English translation 91 9.2 ACC DESCRIPTIONS USED IN THE DRIVING SIMULATOR STUDY 94 9.2.1 Correct description 94 9.2.2 Incomplete description 95 9.2.3 Incorrect description 96 9.3 SCHEMATIC OVERVIEW OF THE DRIVING SIMULATOR TRACK 97 9.4 QUESTIONNAIRES USED IN THE ON-ROAD STUDY 99 9.4.1 Original German version 99 9.4.2 English translation 103 9.5 SEMINAR PROGRAMME: DATABASES AS ANALYSIS TOOL IN SOCIAL SCIENCE 107 9.6 CURRICULUM VITAE AND PUBLICATIONS 109
Viele Aufgaben, die ehemals von Menschen ausgeführt wurden, werden heute von Maschinen übernommen. Dieser Prozess der Automatisierung betrifft viele Lebensbereiche von Arbeit, Wohnen, Kommunikation bis hin zur Mobilität. Im Bereich des Individualverkehrs wird die Automatisierung von Fahrzeugen als Möglichkeit gesehen, zukünftigen Herausforderungen wirtschaftlicher, gesellschaftlicher und umweltpolitischer Art zu begegnen. Allerdings verändert Automatisierung die Fahraufgabe und die Mensch-Technik Interaktion im Fahrzeug. Daher können beispielsweise erwartete Sicherheitsgewinne automatisch agierender Assistenzsysteme durch Veränderungen im Verhalten des Fahrers geschmälert werden, was als Verhaltensanpassung (behavioural adaptation) bezeichnet wird. Dieses Dissertationsprojekt untersucht motivationale und höhere kognitive Prozesse, die Verhaltensanpassungen im Umgang mit automatisierten Fahrerassistenzsystemen zugrunde liegen. Motivationale Prozesse beinhalten die Entwicklung von Akzeptanz und Vertrauen in das System, unter höheren kognitiven Prozessen werden Lernprozesse sowie die Entwicklung von mentalen Modellen des Systems und Situationsbewusstsein (Situation Awareness) verstanden. Im Fokus der Untersuchungen steht das Fahrerassistenzsystem Adaptive Cruise Control (ACC) als ein Beispiel für Automatisierung im Fahrzeug. ACC regelt automatisch die Geschwindigkeit des Fahrzeugs, indem bei freier Fahrbahn eine eingestellte Wunschgeschwindigkeit und bei einem Vorausfahrer automatisch ein eingestellter Abstand eingehalten wird. Allerdings kann ACC aufgrund von Einschränkungen der Sensorik nicht jede Situation bewältigen, weshalb der Fahrer übernehmen muss. Für diesen Interaktionsprozess spielen Vertrauen, Akzeptanz und das mentale Modell der Systemfunktionalität eine Schlüsselrolle, um einen sicheren Umgang mit dem System und ein adäquates Situationsbewusstsein zu entwickeln. Zur systematischen Erforschung dieser motivationalen und kognitiven Prozesse wurden eine Fahrsimulatorstudie und ein Versuch im Realverkehr durchgeführt. Beide Studien wurden im Messwiederholungsdesign angelegt, um dem Prozesscharakter gerecht werden und Veränderungen über die Zeit erfassen zu können. Die Entwicklung von Vertrauen, Akzeptanz und mentalem Modell in der Interaktion mit ACC war zentraler Forschungsgegenstand beider Studien. Bislang gibt es wenige Studien, die kognitive Prozesse im Kontext der Fahrzeugführung untersucht haben, unter anderem auch wegen methodischer Schwierigkeiten in diesem dynamischen Umfeld. Daher war es ebenfalls Teil dieses Dissertationsprojekts, neue Methoden zur Erfassung höherer kognitiver Prozesse in dieser Domäne zu entwickeln, mit Fokus auf mentalen Modellen und Situationsbewusstsein. Darüber hinaus wurde auch ein neuer Ansatz für die Analyse großer und heterogener Datenmengen im sozialwissenschaftlichen Bereich entwickelt, basierend auf dem Einsatz relationaler Datenbanken. Ziel der der Fahrsimulatorstudie war die systematische Erforschung des Effekts von unterschiedlich korrekten initialen mentalen Modellen von ACC auf die weitere Entwicklung des mentalen Modells, Vertrauen und Akzeptanz des Systems. Eine Stichprobe von insgesamt 51 Probanden nahm an der Studie teil; der Versuch wurde als zweifaktorielles (3x3) gemischtes Messwiederholungsdesign konzipiert. Die 3 parallelisierten Versuchsgruppen zu je 17 Personen erhielten (1) eine korrekte Beschreibung des ACC, (2) eine idealisierte Beschreibung unter Auslassung auftretender Systemprobleme und (3) eine überkritische Beschreibung mit zusätzlichen Hinweisen auf Systemprobleme, die nie auftraten. Alle Teilnehmer befuhren insgesamt dreimal im Zeitraum von sechs Wochen dieselbe 56 km lange Autobahnstrecke im Fahrsimulator mit identischem ACC-System. Mit zunehmendem Einsatz des ACC zeigte sich im anfänglich divergierenden mentalen Modell zwischen den Gruppen eine Entwicklung hin zum mentalen Modell der korrekt informierten Gruppe. Nicht erfahrene Systemprobleme tendierten dazu, im mentalen Modell zu verblassen, wenn sie nicht durch Erfahrung reaktiviert wurden. Vertrauen und Akzeptanz stiegen stetig in der korrekt informierten Gruppe. Dieselbe Entwicklung zeigte sich auch in der überkritisch informierten Gruppe, wobei Vertrauen und Akzeptanz anfänglich niedriger waren als in der Bedingung mit korrekter Information. Verschwiegene Systemprobleme führten zu einer konstanten Abnahme von Akzeptanz und Vertrauen ohne Erholung in der Gruppe mit idealisierter Beschreibung. Diese Resultate lassen darauf schließen, dass Probleme automatisierter Systeme sich nicht zwingend negativ auf Vertrauen und Akzeptanz auswirken, sofern sie vorab bekannt sind. Bei jeder Fahrt führten die Versuchsteilnehmer zudem kontinuierlich eine visuell beanspruchende Zweitaufgabe aus, die Surrogate Reference Task (SURT). Die Frequenz der Zweitaufgabenbearbeitung diente als objektives Echtzeitmaß für das Situationsbewusstsein, basierend auf dem Ansatz, dass situationsbewusste Fahrer die Zuwendung zur Zweitaufgabe reduzieren wenn sie potentiell kritische Situationen erwarten. Die Ergebnisse zeigten, dass die korrekt informierten Fahrer sich potentiell kritischer Situationen mit möglichen Systemproblemen bewusst waren und schon im Vorfeld der Entstehung die Zweitaufgabenbearbeitung reduzierten. Teilnehmer ohne Informationen zu auftretenden Systemproblemen wurden sich solcher Situationen erst nach dem ersten Auftreten bewusst und reduzierten in entsprechenden Szenarien der Folgefahrten die Zweitaufgabenbearbeitung. Allerdings sanken Vertrauen und Akzeptanz des Systems aufgrund der unerwarteten Probleme. Erwartete, aber nicht auftretende Systemprobleme tendierten dazu, im mentalen Modell des Systems zu verblassen und resultierten in vermindertem Situationsbewusstsein bereits in der zweiten Fahrt. Im Versuch unter Realbedingungen wurden der Lernprozesses sowie die Entwicklung des mentalen Modells, Vertrauen und Akzeptanz von ACC im Realverkehr erforscht. Ziele waren die statistisch/mathematische Modellierung des Lernprozesses, die Bestimmung von Zeitpunkten der Stabilisierung dieser Prozesse und wie sich reale Systemerfahrung auf das mentale Modell von ACC auswirkt. 15 Versuchsteilnehmer ohne ACC-Erfahrung fuhren ein Serienfahrzeug mit ACC insgesamt 10-mal auf der gleichen Strecke in einem Zeitraum von 2 Monaten. Im Unterschied zur Fahrsimulatorstudie waren alle Teilnehmer korrekt über die ACC-Funktionen und Funktionsgrenzen informiert durch Lesen der entsprechenden Abschnitte im Fahrzeughandbuch am Beginn der Studie. Die Ergebnisse zeigten, dass der Lernprozess sowie die Entwicklung von Akzeptanz und Vertrauen einer klassischen Lernkurve folgen – unter der Bedingung umfassender vorheriger Information zu Systemgrenzen. Der größte Lernfortschritt ist am Beginn der Interaktion mit dem System sichtbar und daher sollten Hilfen (z.B. durch intelligente Tutorsysteme) in erster Linie zu diesem Zeitpunkt gegeben werden. Eine Stabilisierung aller Prozesse zeigte sich nach der fünften Fahrt, was einer Fahrstrecke von rund 185 km oder 3,5 Stunden Fahrzeit entspricht. Es zeigten sich keine Einbrüche in Akzeptanz, Vertrauen bzw. dem Lernprozess durch die gemachten Erfahrungen im Straßenverkehr. Allerdings zeigte sich – analog zur Fahrsimulatorstudie – auch in der Realfahrstudie ein Verblassen von nicht erfahrenen Systemgrenzen im mentalen Modell, wenn diese nicht durch Erfahrungen aktiviert wurden. Im Hinblick auf die Validierung der neu entwickelten Methoden zur Erfassung von mentalen Modellen und Situationsbewusstsein sind die Resultate vielversprechend. Die Studien zeigen, dass mit dem entwickelten Fragebogenansatz zur Quantifizierung des mentalen Modells Einblicke in Aufbau und Entwicklung mentaler Modelle gegeben werden können. Der implizite Echtzeit-Messansatz für Situationsbewusstsein im Fahrsimulator zeigt sich ebenfalls sensitiv in der Erfassung des Bewusstseins von Fahrern für potentiell kritische Situationen. Inhaltlich zeigen die Studien die nachhaltige Relevanz des initialen mentalen Modells für den Lernprozess sowie die Entwicklung von Situationsbewusstsein, Akzeptanz, Vertrauen und die weitere Ausformung eines realistischen mentalen Modells der Möglichkeiten und Grenzen automatisierter Systeme. Aufgrund dieser Relevanz wird die Einbindung und Kontrolle des initialen mentalen Modells in Studien zu automatisierten Systemen unbedingt empfohlen. Die Ergebnisse zeigen zwar, dass sich auch unvollständige bzw. falsche mentale Modelle durch Erfahrungslernen hin zu einer realistischen Einschätzung der Systemmöglichkeiten und -grenzen verändern, allerdings um den Preis sinkenden Vertrauens und abnehmender Akzeptanz. Idealisierte Systembeschreibungen ohne Hinweise auf mögliche Systemprobleme bringen nur anfänglich etwas höheres Vertrauen und Akzeptanz. Das Erleben unerwarteter Probleme führt zu einem stetigen Abfall dieser motivationalen Faktoren über die Zeit. Ein alleiniges Versuchs-Irrtums-Lernen für den Umgang mit automatisierter Assistenz im Fahrzeug ohne zusätzliche Information wird daher als nicht ausreichend für die Entwicklung stabilen Vertrauens und stabiler Akzeptanz betrachtet. Wenn das initiale mentale Modell den Erfahrungen entspricht, entwickeln sich Akzeptanz und Vertrauen gemäß einer klassischen Lernkurve – trotz erlebter Systemgrenzen. Sind diese potentiellen Probleme vorher bekannt, führen sie nicht zwingend zu einer Reduktion von Vertrauen und Akzeptanz. Auch zusätzliche überkritische Information vermindert Vertrauen und Akzeptanz nur am Beginn, aber nicht langfristig. Daher sollen potentielle Probleme in automatisierten Systemen nicht in idealisierten Beschreibungen verschwiegen werden – je präzisere Information gegeben wird, desto besser im langfristigen Verlauf. Allerdings tendieren nicht erfahrene Systemgrenzen zum Verblassen im mentalen Modell. Daher wird empfohlen, Nutzer regelmäßig an diese Systemgrenzen zu erinnern um die entsprechenden Facetten des mentalen Modells zu reaktivieren. In automatisierten Systemen integrierte intelligente Tutorsysteme könnten dafür eine Lösung bieten. Im Fahrzeugbereich könnten solche periodischen Erinnerungen an Systemgrenzen in Multifunktionsdisplays angezeigt werden, die mittlerweile in vielen modernen Fahrzeugen integriert sind. Diese Tutorsysteme können darüber hinaus auch auf die Präsenz eingebauter automatisierter Systeme hinweisen und deren Vorteile aufzeigen.:Table of contents LIST OF FIGURES I LIST OF TABLES II LIST OF ABBREVIATIONS III ACKNOWLEDGEMENTS IV SUMMARY V ZUSAMMENFASSUNG VIII 1 INTRODUCTION 12 2 THEORETICAL BACKGROUND 14 2.1 BEHAVIOURAL ADAPTATION AND HIGHER COGNITIVE PROCESSES 14 2.2 VEHICLE AUTOMATION AND ADAPTIVE CRUISE CONTROL 17 2.3 MENTAL MODELS 20 2.3.1 Definition 20 2.3.2 Mental model construction and update 20 2.3.3 Discussion of existing measures 21 2.3.4 Development of the mental model questionnaire 23 2.4 SITUATION AWARENESS 24 2.4.1 Definition 24 2.4.2 Relationship between mental models and Situation Awareness 26 2.4.3 Situation Awareness as comprehension process 27 2.4.4 Discussion of existing measures 27 2.4.5 Development of the Situation Awareness measurement technique 29 2.5 LEARNING, ACCEPTANCE AND TRUST IN AUTOMATION 30 2.5.1 Power law of learning 30 2.5.2 Acceptance 31 2.5.3 Trust in automation 31 2.5.4 Related research on learning, acceptance and trust in ACC 32 3 OVERALL RESEARCH QUESTIONS 34 4 OVERALL METHODOLOGICAL CONSIDERATIONS 35 4.1 DRIVING SIMULATOR STUDIES AND ON-ROAD TESTS 35 4.2 DATABASE-FRAMEWORK FOR DATA STORAGE AND ANALYSIS 37 5 DRIVING SIMULATOR STUDY 42 5.1 AIMS AND RESEARCH QUESTIONS 42 5.2 METHOD AND MATERIAL 43 5.2.1 Sampling and participants 43 5.2.2 Research design and procedure 44 5.2.3 Facilities and driving simulator track 45 5.2.4 Secondary task SURT 46 5.2.5 System description 46 5.2.6 Dependent variables trust, acceptance and mental model 47 5.2.7 Contrast analysis 48 5.3 RESULTS 49 5.3.1 Mental model 49 5.3.2 Trust and acceptance 51 5.3.3 Situation Awareness 52 5.4 DISCUSSION 56 6 ON-ROAD STUDY 59 6.1 AIMS AND RESEARCH QUESTIONS 59 6.2 METHOD AND MATERIAL 59 6.2.1 Research design and procedure 59 6.2.2 Sampling and participants 60 6.2.3 Facilities and apparatus 60 6.2.4 Dependent variables mental model, trust, acceptance, learning and ACC usage 62 6.3 RESULTS 63 6.3.1 ACC usage 63 6.3.2 Trust and acceptance 64 6.3.3 Learning 65 6.3.4 Mental model 67 6.4 DISCUSSION 68 7 GENERAL DISCUSSION AND CONCLUSIONS 70 7.1 THEORETICAL AND PRACTICAL CONSIDERATIONS 70 7.2 METHODOLOGICAL CONSIDERATIONS 71 7.3 LIMITATIONS AND DIRECTIONS FOR FUTURE RESEARCH 74 8 REFERENCES 76 9 APPENDIX 88 9.1 QUESTIONNAIRES USED IN THE DRIVING SIMULATOR STUDY 88 9.1.1 Original German version 88 9.1.2 English translation 91 9.2 ACC DESCRIPTIONS USED IN THE DRIVING SIMULATOR STUDY 94 9.2.1 Correct description 94 9.2.2 Incomplete description 95 9.2.3 Incorrect description 96 9.3 SCHEMATIC OVERVIEW OF THE DRIVING SIMULATOR TRACK 97 9.4 QUESTIONNAIRES USED IN THE ON-ROAD STUDY 99 9.4.1 Original German version 99 9.4.2 English translation 103 9.5 SEMINAR PROGRAMME: DATABASES AS ANALYSIS TOOL IN SOCIAL SCIENCE 107 9.6 CURRICULUM VITAE AND PUBLICATIONS 109