Relevant bibliographies by topics / Information diagnosticity

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Information diagnosticity'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Information diagnosticity"

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Van Wallendael, Lori R., and Yvonne Guignard. "Diagnosticity, confidence, and the need for information." Journal of Behavioral Decision Making 5, no. 1 (January 1992): 25–37. http://dx.doi.org/10.1002/bdm.3960050105.

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Hsu, Nina S., Margaret L. Schlichting, and Sharon L. Thompson-Schill. "Feature Diagnosticity Affects Representations of Novel and Familiar Objects." Journal of Cognitive Neuroscience 26, no. 12 (December 2014): 2735–49. http://dx.doi.org/10.1162/jocn_a_00661.

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Many features can describe a concept, but only some features define a concept in that they enable discrimination of items that are instances of a concept from (similar) items that are not. We refer to this property of some features as feature diagnosticity. Previous work has described the behavioral effects of feature diagnosticity, but there has been little work on explaining why and how these effects arise. In this study, we aimed to understand the impact of feature diagnosticity on concept representations across two complementary experiments. In Experiment 1, we manipulated the diagnosticity of one feature, color, for a set of novel objects that human participants learned over the course of 1 week. We report behavioral and neural evidence that diagnostic features are likely to be automatically recruited during remembering. Specifically, individuals activated color-selective regions of ventral temporal cortex (specifically, left fusiform gyrus and left inferior temporal gyrus) when thinking about the novel objects, although color information was never explicitly probed during the task. Moreover, multiple behavioral and neural measures of the effects of feature diagnosticity were correlated across participants. In Experiment 2, we examined relative color association in familiar object categories, which varied in feature diagnosticity (fruits and vegetables, household items). Taken together, these results offer novel insights into the neural mechanisms underlying concept representations by demonstrating that automatic recruitment of diagnostic information gives rise to behavioral effects of feature diagnosticity.
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Yoo, Jungmin. "The Effects of Perceived Quality of Augmented Reality in Mobile Commerce—An Application of the Information Systems Success Model." Informatics 7, no. 2 (May 15, 2020): 14. http://dx.doi.org/10.3390/informatics7020014.

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Augmented reality (AR) enables consumers to browse and try products virtually by providing additional information and functionality to mobile shopping. Retailers continue to develop AR technology to engage consumers and enhance their digital shopping experiences. However, despite the growing interest in this technology, consumers rarely rely on AR due to the quality of its content. This study applies an information systems success model to examine the antecedents that influence the adoption of mobile technology, specifically focusing on consumers’ perception of AR quality and its effect on perceived diagnosticity and consumer satisfaction when using AR technology. Moreover, the study examines how perceived diagnosticity and satisfaction influence loyalty. The study participants were 283 shoppers in Korea who have previously experienced mobile shopping, with data collected through an online survey. The results show that when using AR, (1) the consumer’s perceptions of information quality and visual quality positively influence perceived diagnosticity and satisfaction, (2) perceived diagnosticity positively influences satisfaction and (3) satisfaction positively influences loyalty. These results have practical implications for mobile retailers seeking to develop effective product presentation strategies using innovative technologies.
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Nedumkallel, Jose Pius, Deepak Babu, and Michelle Francis. "Analyzing the Effect of Perceived Risk and Information Diagnosticity on Word-of-Mouth and Viral Marketing." International Journal of E-Business Research 16, no. 4 (October 2020): 65–81. http://dx.doi.org/10.4018/ijebr.2020100105.

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This study investigates the moderating effect of perceived risk and information diagnosticity on the relationship between brand loyalty and word-of-mouth (WOM) as well as viral marketing activities (VMA) in e-retailer websites. Although extant research in marketing suggests that brand loyalty leads to positive WOM, this study examines the moderating effect of the consumer's perceived risk on this relationship in the context of e-retailer websites where customers repeatedly encounter new and uncertain situations every time they visit the e-retailer. This study also examines the moderating effect of information diagnosticity on the interaction relationship stated earlier. Findings reveal that risk perception negatively moderates the impact of brand loyalty on WOM and VMA and information diagnosticity of online reviews can help reduce the negative perceptions caused by risk factors.
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Nelson, Jonathan D. "Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain." Psychological Review 112, no. 4 (2005): 979–99. http://dx.doi.org/10.1037/0033-295x.112.4.979.

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Skov, Richard B., and Steven J. Sherman. "Information-gathering processes: Diagnosticity, hypothesis-confirmatory strategies, and perceived hypothesis confirmation." Journal of Experimental Social Psychology 22, no. 2 (March 1986): 93–121. http://dx.doi.org/10.1016/0022-1031(86)90031-4.

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van de Pol, Janneke, Mariëtte van Loon, Tamara van Gog, Sophia Braumann, and Anique de Bruin. "Mapping and Drawing to Improve Students’ and Teachers’ Monitoring and Regulation of Students’ Learning from Text: Current Findings and Future Directions." Educational Psychology Review 32, no. 4 (August 3, 2020): 951–77. http://dx.doi.org/10.1007/s10648-020-09560-y.

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Abstract For (facilitating) effective learning from texts, students and teachers need to accurately monitor students’ comprehension. Monitoring judgments are accurate when they correspond to students’ actual comprehension. Accurate monitoring enables accurate (self-)regulation of the learning process, i.e., making study decisions that are in line with monitoring judgments and/or students’ comprehension. Yet, (self-)monitoring accuracy is often poor as the information or cues used are not always diagnostic (i.e., predictive) for students’ actual comprehension. Having students engage in generative activities making diagnostic cues available improves monitoring and regulation accuracy. In this review, we focus on generative activities in which text is transformed into visual representations using mapping and drawing (i.e., making diagrams, concept maps, or drawings). This has been shown to improve monitoring and regulation accuracy and is suited for studying cue diagnosticity and cue utilization. First, we review and synthesize findings of studies regarding (1) students’ monitoring accuracy, regulation accuracy, learning, cue diagnosticity, and cue utilization; (2) teachers’ monitoring and regulation accuracy and cue utilization; and (3) how mapping and drawing affect using effort as a cue during monitoring and regulation, and how this affects monitoring and regulation accuracy. Then, we show how this research offers unique opportunities for future research on advancing measurements of cue diagnosticity and cue utilization and on how effort is used as a cue during monitoring and regulation. Improving measures of cue diagnosticity and cue utilization can provide us with more insight into how students and teachers monitor and regulate students’ learning, to help design effective interventions to foster these important skills.
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Sacchi, Simona, Patrice Rusconi, Mattia Bonomi, and Paolo Cherubini. "Effects of Asymmetric Questions on Impression Formation." Social Psychology 45, no. 1 (June 1, 2014): 41–53. http://dx.doi.org/10.1027/1864-9335/a000158.

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When examining social targets, people may ask asymmetric questions, that is, questions for which “yes” and “no” answers are neither equally diagnostic nor equally frequent. The consequences of this information-gathering strategy on impression formation deserve empirical investigation. The present work explored the role played by the trade-off between the diagnosticity and frequency of answers that follow asymmetric questions. In Study 1, participants received answers to symmetric/asymmetric questions on an anonymous social target. In Study 2, participants read answers to a specific symmetric/asymmetric question provided by different group members. Overall, the results of both studies indicate that asymmetric questions had less impact on impressions than did symmetric questions, suggesting that individuals are more sensitive to data frequency than diagnosticity when forming impressions.
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Pemberton, Michael, and Constantine Sedikides. "When do individuals help close others improve? The role of information diagnosticity." Journal of Personality and Social Psychology 81, no. 2 (2001): 234–46. http://dx.doi.org/10.1037/0022-3514.81.2.234.

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Rusconi, Patrice, Simona Sacchi, Armando Toscano, and Paolo Cherubini. "Confirming Expectations in Asymmetric and Symmetric Social Hypothesis Testing." Experimental Psychology 59, no. 5 (May 1, 2012): 243–50. http://dx.doi.org/10.1027/1618-3169/a000149.

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This article examines individuals’ expectations in a social hypothesis testing task. Participants selected questions from a list to investigate the presence of personality traits in a target individual. They also identified the responses that they expected to receive and the likelihood of the expected responses. The results of two studies indicated that when people asked questions inquiring about the hypothesized traits that did not entail strong a priori beliefs, they expected to find evidence confirming the hypothesis under investigation. These confirming expectations were more pronounced for symmetric questions, in which the diagnosticity and frequency of the expected evidence did not conflict. When the search for information was asymmetric, confirming expectations were diminished, likely as a consequence of either the rareness or low diagnosticity of the hypothesis-confirming outcome. We also discuss the implications of these findings for confirmation bias.
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Dissertations / Theses on the topic "Information diagnosticity"

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Li, Hua. "Eager vigilance in consumer response to negative information : the role of regulatory focus and information ambiguity." Thesis, Aix-Marseille, 2012. http://www.theses.fr/2012AIXM1079.

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Les informations négatives sur les produits et les entreprises auxquelles les consommateurs ont accès ne sont pas toujours fiables et claires. Cette thèse étudie comment l'orientation régulatrice des consommateurs influe sur leur réaction par rapport aux informations négatives comme une fonction de l'ambiguïté des informations. Nous suggérons que lorsque les informations négatives sont ambigües, les consommateurs avec une orientation prévention, par rapport à ceux avec une orientation promotion, seront beaucoup plus influencés par les informations et susceptibles de changer en conséquence vers le bas leur attitude envers la marque. En revanche, lorsque les informations négatives sont claires, à la fois les consommateurs orientés promotion et ceux orientés prévention seront très influencés et susceptibles de revoir leur attitude à la baisse par rapport à la marque en question. De plus, nous alléguons que la diagnosticité perçue des informations exerce un rôle médiateur sur les effets proposés. Plus particulièrement, en présence des informations négatives ambiguës, l'orientation prévention (par rapport à l'orientation promotion) a tendance à amplifier la diagnosticité perçue des informations qui, en retour, accentue les effets que les informations négatives auront sur la révision de l'attitude. Quatre études expérimentales ont testé et confirmé ces hypothèses à travers trois scénarios ambigus différents : (1) quand les informations négatives proviennent d'une source dont la crédibilité est incertaine (étude 1), (2) quand la raison pour laquelle un produit défectueux est ambiguë (étude 2) et (3) quand les évaluations de produit sont très contradictoires (études 3a et 3b)
Negative information about products or companies that consumers encounter in the marketplace is not always certain and clear-cut. This dissertation explores how consumers' regulatory focus orientation affects their response to negative information as a function of information ambiguity. We propose that under the situations where ambiguity is present in the negative information, prevention-focused compared to promotion-focused consumers will be more strongly persuaded and exhibit a large downward revision of their attitude toward the brand. In contrast, under the situations where the negative information is unambiguous, both promotion and prevention-focused consumers will be strongly persuaded and revise accordingly their attitude toward the brand. Moreover, we argue that perceived diagnosticity of the information mediates the proposed effect. Specifically, in the presence of ambiguity in negative information, a prevention focus (vs. a promotion focus) leads to an inflated perceived information diagnosticity, which, in turn, accentuates the impact of negative information on judgment revision. Four experimental studies tested and confirmed these propositions in three different ambiguous scenarios: (1) when negative product information comes from a source with uncertain credibility(Study 1); (2) when the cause of a reported product failure is ambiguous(Study2), and (3) when product reviews are highly conflicting (Study 3a and Study 3b)
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Patil, Ashutosh R. "Essays in regulatory focus and price acceptance." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/34692.

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Part one of the thesis studies differential diagnosticity towards substantive extrinsic information available in the environment. This research tests the interaction between regulatory focus and availability of extrinsic-substantive information such as consensus information, on the range of acceptable price. Prior research on regulatory focus led us to two divergent predictions. Our findings lend support to the asymmetric-elaboration account. Under this account, only prevention-oriented consumers are likely to change their acceptable price range if combinations of favorable-and-unfavorable consensus information are available in the environment, while promotion-oriented consumers disregard such information. We find that this difference is due to the differences in the level of difficulty experienced in specifying acceptable price range across the two regulatory foci. Further, we also undertake random-parameters regression models that provide unique general findings. For example, we find that for promotion-oriented consumers it is their high-level product construal, while for prevention-oriented consumers it is their low-level product construal that influences their respective acceptable price ranges, irrespective of level of external information available. Theoretical and managerial implications are discussed.
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Yin, Dezhi. "The good, the bad and the content: beyond negativity bias in online word-of-mouth." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44824.

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My dissertation aims to contribute to a more comprehensive understanding of how consumers make sense of online word-of-mouth. Each essay in my dissertation probes beyond the effect of rating valence and explores the role of textual content. In the first essay, I explore negativity bias among online consumers evaluating peer information about potential sellers. I propose that both the likelihood of negativity bias and resistance to change after a trust violation will depend on the domain of information discussed in a review. Three experiments showed that negativity bias is more prominent for information regarding sellers' integrity than information regarding their competence. These findings suggest that the universality of negativity bias in a seller review setting has been exaggerated. In the second essay, I examine the impact of emotional arousal on the perceived helpfulness of text reviews. I propose an inverse U-shaped relationship by which the arousal conveyed in a text review will be associated by readers with lower perceived helpfulness only beyond an optimal level, and that the detrimental effect of arousal is present for negative reviews even when objective review content is controlled for. To test these hypotheses, two studies were conducted in the context of Apple's mobile application market. In Study 1, I collected actual review data from Apple's App Store, coded those reviews for arousal using text analysis tools, and examined the non-linear relationship between arousal and review helpfulness. In Study 2, I experimentally manipulated the emotional arousal of reviews at moderate to high levels while holding objective content constant. Results were largely consistent with the hypotheses. This essay reveals the necessity of considering emotional arousal when evaluating review helpfulness, and the results carry important practical implications. In the third essay, I explore effects of the emotions embedded in a seller review on its perceived helpfulness to readers. I propose that over and above the well-known negativity bias, the impact of discrete emotions in a review will vary, and that one source of this variance is perceptions of reviewers' cognitive effort. I focus on the roles of two distinct, negative emotions common to seller reviews: anxiety and anger. In Studies 1 and 2, experimental methods were utilized to identify and explain the differential impact of anxiety and anger in terms of perceived reviewer effort. In Study 3, actual seller reviews from Yahoo! Shopping websites were collected to examine the relationship between emotional review content and helpfulness ratings. These findings demonstrate the importance of discriminating between discrete emotions in online word-of-mouth, and they have important repercussions for consumers and online retailers.
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Lennartsson, Jennifer, and Linnea Carlsson. "Word-of-Mouse-Effektens Mörka Sida : - En experimentell studie om hur negativ information i dagens sociala medier påverkar konsumentuppfattningar." Thesis, Uppsala University, Department of Business Studies, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-126631.

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The Dark Side of the Word-of-Mouse Effect

- An experimental study of how negative information in today’s social media can influence consumer perception

 As a result of the electronic revolution of information dissemination, social media as a phenomenon has come to play an important part, both in society at large but also when it comes to business and marketing. Nowadays, knowledge and opinions about brands and products are spread by reputation through a wide range of social media platforms, a phenomenon which in the literature is referred to as word-of-mouse or electronic word-of-mouth (eWOM).

The purpose of this paper is to investigate how people’s opinions towards a company and its product are affected by negative information in terms of eWOM. Or more precisely, whether or not there is a difference in this effect depending on information content, concerning company values on the one hand and product attributes on the other.

This was done in an experimental setting where two groups of respondents were subjected to fictitious information of different types using established social media platforms. Thereby, the impact on attitude, credibility and buying intention towards the company and its product was measured as well as the diagnosticity of the information and accordingly the eWOM effect could be determined.

The result of the study indicates that negative eWOM does indeed induce changes in the receiver’s opinion and more importantly it shows a discrepancy in the impact of different kinds of information. That is, the receiver’s opinion in terms of attitude and credibility is, by the eWOM, affected to a larger extent by the exposure of negative information concerning company values as compared to product attributes. However, regarding the impact on the receiver’s ultimate behavior this discrepancy does not seem to exist as buying intention is affected equally.

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Friberg, Annika. "Interaktionskvalitet - hur mäts det?" Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20810.

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Den tekniska utvecklingen har lett till att massiva mängder av information sänds, i högahastigheter. Detta flöde måste vi lära oss att hantera. För att maximera nyttan av de nyateknikerna och undkomma de problem som detta enorma informationsflöde bär med sig, börinteraktionskvalitet studeras. Vi måste anpassa gränssnitt efter användaren eftersom denneinte har möjlighet att anpassa sig till, och sortera i för stora informationsmängder. Vi måsteutveckla system som gör människan mer effektiv vid användande av gränssnitt.För att anpassa gränssnitten efter användarens behov och begränsningar krävs kunskaperom den mänskliga kognitionen. När kognitiv belastning studeras är det viktigt att en såflexibel, lättillgänglig och icke-påträngande teknik som möjligt används för att få objektivamätresultat, samtidigt som pålitligheten är av största vikt. För att kunna designa gränssnittmed hög interaktionskvalitet krävs en teknik att utvärdera dessa. Målet med uppsatsen är attfastställa en mätmetod väl lämpad för mätning av interaktionskvalitet.För mätning av interaktionskvalitet rekommenderas en kombinering av subjektiva ochfysiologiska mätmetoder, detta innefattar en kombination av Functional near-infraredspecroscopy; en fysiologisk mätmetod som mäter hjärnaktiviteten med hjälp av ljuskällor ochdetektorer som fästs på frontalloben, Electrodermal activity; en fysiologisk mätmetod sommäter hjärnaktiviteten med hjälp av elektroder som fästs över skalpen och NASA task loadindex; en subjektiv, multidimensionell mätmetod som bygger på kortsortering och mäteruppfattad kognitiv belastning i en sammanhängande skala. Mätning med hjälp av dessametoder kan resultera i en ökad interaktionskvalitet i interaktiva, fysiska och digitalagränssnitt. En uppskattning av interaktionskvalitet kan bidra till att fel vid interaktionminimeras, vilket innebär en förbättring av användares upplevelse vid interaktion.
Technical developments have led to the broadcasting of massive amounts of information, athigh velocities. We must learn to handle this flow. To maximize the benefits of newtechnologies and avoid the problems that this immense information flow brings, interactionquality should be studied. We must adjust interfaces to the user because the user does nothave the ability to adapt and sort overly large amounts of information. We must developsystems that make the human more efficient when using interfaces.To adjust the interfaces to the user needs and limitations, knowledge about humancognitive processes is required. When cognitive workload is studied it is important that aflexible, easily accessed and non assertive technique is used to get unbiased results. At thesame time reliability is of great importance. To design interfaces with high interaction quality,a technique to evaluate these is required. The aim of this paper is to establish a method that iswell suited for measurement of interaction quality.When measuring interaction quality, a combination of subjective and physiologicalmethods is recommended. This comprises a combination of Functional near-infraredspectroscopy; a physiological measurement which measures brain activity using light sourcesand detectors placed on the frontal lobe, Electrodermal activity; a physiological measurementwhich measures brain activity using electrodes placed over the scalp and NASA task loadindex; a subjective, multidimensional measurement based on card sorting and measures theindividual perceived cognitive workload on a continuum scale. Measuring with these methodscan result in an increase in interaction quality in interactive, physical and digital interfaces.An estimation of interaction quality can contribute to eliminate interaction errors, thusimproving the user’s interaction experience.
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Lee, Jiun Ping, and 李俊平. "Order effects of information diagnosticity on on-line judgment and memory-based judgment." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/17059425719456997521.

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碩士
中原大學
心理學系
82
The purpose of the present study was to examine order effects of information diagnosticity on on-line judgment and memory- based judgment. In the pilot study, several pieces of diagnostic and non-diagnostic information about school work were found as the materials for the formal study. A 2 (type of judgment) × 2 (order of information) between-subjects factorial design was employed in the formal study. The result showed that, under the on-line judgment task, there were no order effects of information diagnosticity on subjects'' judgment. Specifically, subjects receiving diagnostic information first then non-diagnostic one tened to give more averaging responses than subjects receiving information diagnosticity in reversed order.
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Saini, Yvonne Kabeya. "The role of brands in online and offline consumer choice." Thesis, 2015. http://hdl.handle.net/10539/18786.

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Thesis (Ph.D.)--University of the Witwatersrand, Faculty of Commerce, Law and Management, Graduate School of Business Administration, 201
This dissertation examined the role of brands in consumer decision making in online environments versus offline environments. The effects of the information type and quality available in a given purchase environment influences consumer choice. The premise on which this study was based is the accessibility-diagnociticity model which states that the weight given to any piece of information which would be used for consumer decision making depends on the accessibility of that piece of information, the accessibility of alternative inputs and diagnositicity or perceived relevance of the inputs (Feldman & Lynch 1988). Information available to consumers plays a significant role in their decision making and there has been limited studies investigating this in the online versus offline shopping environments. The challenge of online shopping for some product categories is that there is limited capacity to provide touch, smell and taste information. The dissertation reports three experiments which were conducted to test the hypotheses. Participants were randomly assigned to different shopping environments with varying levels of information. The findings extend the theory of the diagnosticity of information (Alba, Hutchinson, & Lynch, 1991; Feldman & Lynch 1988; Herr, Karde, & Kim, 1991; Lynch, Marmorstein & Weigold, 1988; Lynch 2006) indicating that, when consumers observe that they do not have enough information to make a purchase decision, they do not make a decision unless the brand is familiar. vii The findings from the research offer fresh insights that familiar brands have greater advantage in online shopping than unfamiliar brands, particularly for experiential products. The results suggest that in purchase situations where there is limited sensory information, consumers rely on brand familiarity to make decisions or they do not make a decision if the brands are unfamiliar. The results of the dissertation showed that when there is limited information in consumer decision making processes, consumers use their knowledge about brands to make or not make a decision. The results contradict the long tail theory (Anderson, 2006) which proposes that the businesses would make more profits from niche offerings of unfamiliar brands. The results of the study were not conclusive on the effects of shopping environments on price sensitivity for familiar and unfamiliar brands. The results suggested the predicted pattern, though the interaction was not statistically significant and there is need for future research on online price elasticity. Future research should also explore the effects of these new sources of information like blogs, consumer and expert reviews, Facebook, etc. on consumer decision making in the offline and online environments
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Books on the topic "Information diagnosticity"

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Voigt-Zimmermann, Susanne, Stephanie Kurtenbach, Gabriele Finkbeinder, Anke Bergt, and Wanda Mainka, eds. Stimmstörungen – ein Fokus der Klinischen Sprechwissenschaft : Aktuelle Beiträge aus Wissenschaft, Forschung und Praxis. Frank & Timme, 2016. http://dx.doi.org/10.26530/20.500.12657/42799.

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Working on the voice, whether diagnosticly, therapeuticly, preventively or restoratively, is and will remain one of the core areas of clinical speech science. The authors of this volume provide information on current vocal research results, interdisciplinary projects and central and marginal aspects of the voice, its variability, disease, diagnosis and therapy. For example, it is about the child's handling of the voice, voice training for transsexuals, the aesthetics of radio voices and special phenomena such as yodelling or overtone singing. Susanne Voigt-Zimmermann, Dr. phil., ENT clinic of the Otto von Guericke University Magdeburg. Stephanie Kurtenbach, Dr. phil., Seminar for Speech Science and Phonetics at the MLU Halle-Wittenberg. Gabriele Finkbeiner, Practice for Speech Therapy Oswald, Rüdersdorf near Berlin, Chairwoman of DBKS e. V. Anke Bergt, Lebenshilfe-Werk Weimar / Apolda e. V., deputy chairwoman of DBKS e. V. Wanda Mainka, Neurological Specialist Hospital for Movement Disorders / Parkinson's, Beelitz-Heilstätten.
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Book chapters on the topic "Information diagnosticity"

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Chang, Joseph W. "The Diagnosticity of Brand Extension Information on Family Brand Entitativity." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 317. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11806-2_133.

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Serrano, Christina I., and Elena Karahanna. "An Innovation Ahead of its Time Understanding the Factors Influencing Patient Acceptance of Walk-In Telemedicine Services." In New Technologies for Advancing Healthcare and Clinical Practices, 326–46. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-780-7.ch019.

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Though healthcare costs continue to soar, the healthcare industry lags other service industries in applying Information Technology to improve customer, and in this case patient, service, improve access to healthcare services, and reduce costs. One particular area of concern is overuse and overcrowding of emergency departments for nonurgent care. Telemedicine is one potentially important application of Information Technology in this realm. The objective of this study is to examine the antecedents of patient acceptance of walk-in telemedicine services for minor ailments. While a few implementations of these walk-in clinics have been attempted in the past, these clinics ultimately closed their services. Given the difficulty in sustaining a walk-in telemedicine service model, it is important to investigate the factors that would lead to patient adoption of walk-in telemedicine services. Drawing upon theoretical models in the healthcare and technology acceptance literatures and based on salient beliefs elicited during interviews with 29 potential adopters, we develop a conceptual model of antecedents of patient acceptance of walk-in telemedicine services for minor conditions. While relative advantage, informational influences, and relationship with one’s physician emerged as important predictors of acceptance, media richness and e-consultation diagnosticity emerged as central concerns for potential adopters. We discuss the study’s implications for research and practice and offer suggestions for future empirical studies.
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Diaper, Dan. "Task Analysis at the Heart of Human-Computer Interaction." In Encyclopedia of Human Computer Interaction, 579–87. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-562-7.ch086.

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The history of task analysis is nearly a century old, with its roots in the work of Gilbreth (1911) and Taylor (1912). Taylor’s scientific management provided the theoretical basis for production-line manufacturing. The ancient manufacturing approach using craft skill involved an individual, or a small group, undertaking, from start to finish, many different operations so as to produce a single or small number of manufactured objects. Indeed, the craftsperson often made his or her own tools with which to make end products. Of course, with the growth of civilisation came specialisation, so that the carpenter did not fell the trees or the potter actually dig the clay, but still each craft involved many different operations by each person. Scientific management’s novelty was the degree of specialisation it engendered: each person doing the same small number of things repeatedly. Taylorism thus involved some large operation, subsequently called a task, that could be broken down into smaller operations, called subtasks. Task analysis came into being as the method that, according to Anderson, Carroll, Grudin, McGrew, and Scapin (1990), “refers to schemes for hierarchical decomposition of what people do.” The definition of a task remains a “classic and under-addressed problem” (Diaper, 1989b). Tasks have been differently defined with respect to their scope: from the very large and complex, such as document production (Wilson, Barnard, & MacLean, 1986), to the very small, for example, tasks that “may involve only one or two activities which take less than a second to complete, for example, moving a cursor” (Johnson & Johnson, 1987). Rather than trying to define what is a task by size, Diaper’s (1989b) alternative is borrowed from conversation analysis (Levinson, 1983). Diaper suggests that tasks always have well-defined starts and finishes, and clearly related activities in between. The advantage of such a definition is that it allows tasks to be interrupted or to be carried out in parallel. Task analysis was always involved with the concept of work, and successful work is usually defined as achieving some goal. While initially applied to observable, physical work, as the field of ergonomics developed from World War II, the task concept was applied more widely to cover all types of work that “refocused attention on the information processing aspect of tasks and the role of the human operator as a controller, planner, diagnostician and problem solver in complex systems” (Annett & Stanton, 1998). With some notable exceptions discussed below, tasks are still generally defined with people as the agents that perform work. For example, Annett and Stanton defined task analysis as “[m]ethods of collecting, classifying and interpreting data on human performance.”
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4

Diaper, Dan. "Task Analysis at the Heart of Human-Computer Interaction." In Human Computer Interaction, 70–79. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-87828-991-9.ch006.

Full text
Abstract:
The history of task analysis is nearly a century old, with its roots in the work of Gilbreth (1911) and Taylor (1912). Taylor’s scientific management provided the theoretical basis for production-line manufacturing. The ancient manufacturing approach using craft skill involved an individual, or a small group, undertaking, from start to finish, many different operations so as to produce a single or small number of manufactured objects. Indeed, the craftsperson often made his or her own tools with which to make end products. Of course, with the growth of civilisation came specialisation, so that the carpenter did not fell the trees or the potter actually dig the clay, but still each craft involved many different operations by each person. Scientific management’s novelty was the degree of specialisation it engendered: each person doing the same small number of things repeatedly. Taylorism thus involved some large operation, subsequently called a task, that could be broken down into smaller operations, called subtasks. Task analysis came into being as the method that, according to Anderson, Carroll, Grudin, McGrew, and Scapin (1990), “refers to schemes for hierarchical decomposition of what people do.” The definition of a task remains a “classic and under-addressed problem” (Diaper, 1989b). Tasks have been differently defined with respect to their scope: from the very large and complex, such as document production (Wilson, Barnard, & MacLean, 1986), to the very small, for example, tasks that “may involve only one or two activities which take less than a second to complete, for example, moving a cursor” (Johnson & Johnson, 1987). Rather than trying to define what is a task by size, Diaper’s (1989b) alternative is borrowed from conversation analysis (Levinson, 1983). Diaper suggests that tasks always have well-defined starts and finishes, and clearly related activities in between. The advantage of such a definition is that it allows tasks to be interrupted or to be carried out in parallel. Task analysis was always involved with the concept of work, and successful work is usually defined as achieving some goal. While initially applied to observable, physical work, as the field of ergonomics developed from World War II, the task concept was applied more widely to cover all types of work that “refocused attention on the information processing aspect of tasks and the role of the human operator as a controller, planner, diagnostician and problem solver in complex systems” (Annett & Stanton, 1998). With some notable exceptions discussed below, tasks are still generally defined with people as the agents that perform work. For example, Annett and Stanton defined task analysis as “[m]ethods of collecting, classifying and interpreting data on human performance.”
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Conference papers on the topic "Information diagnosticity"

1

"MENTAL CLONING BASE VIRTUAL DIAGNOSTICIAN SYSTEM - Virtual Medical Doctor System (VDS) Reasoning." In International Conference on Health Informatics. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002717102500256.

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2

Bloom, Charles P., Brian A. Isle, and Arch W. Butler. "The Development and Delivery of Expert Systems for Special Environments." In ASME 1989 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1989. http://dx.doi.org/10.1115/89-gt-35.

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The overall effectiveness of any expert system for maintenance and troubleshooting is a function of the knowledge applied to its problem-solving task and the delivery of that knowledge to the user (i.e., the interface between user and system). There is a direct relationship between how functional the user/system interface is and the degree to which users of the expert system can apply its capabilities to solve problems. In gas turbine troubleshooting and maintenance applications, it is often necessary to have access to documents such as schematics, electrical wiring diagrams, and equipment block diagrams, and to pictures of actual components themselves. Because these can be essential sources of information for a diagnostician, they should be included in any implementation of a system specifically designed to assist the user. In addition, the intended user’s mode of interaction with the system can vary within maintenance applications: Can the user interact with the system via a keyboard, or is voice input necessary? Can the user read a display, or is voice output necessary?
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