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Journal articles on the topic 'Mental models elicitation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Cooke, Nancy J., and Anna L. Rowe. "Evaluating Mental Model Elicitation Methods." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 4 (1994): 261–65. http://dx.doi.org/10.1177/154193129403800416.

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Researchers have developed and applied a number of methods for measuring mental models. Unfortunately not only is the mental model construct ill-defined, but the basic research associated with it offers little guidance concerning the selection of a method for a particular application. In this paper a program of research is presented that is designed address this shortcoming. Specifically, the research involves a comparative evaluation of methods to measure mental models on the basis of the relationship between the method's output (i.e., the mental model) and the criterion of primary importance

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Harper, Samantha, and Stephen Dorton. "A Context-Driven Framework for Selecting Mental Model Elicitation Methods." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 367–71. http://dx.doi.org/10.1177/1071181319631422.

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Mental models describe an internal representation of knowledge of an individual or group, which can be used to interpret interactions with their environment and provide insight into decision-making strategies and prediction of performance. There are several ways to elicit mental models and analyze them; however, there is little guidance for selecting an appropriate elicitation method. Depending on different constraints of research and desired outcomes, different elicitation methods are more appropriate than others. Three criteria were identified as useful for selecting an appropriate elicitati

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Ford, David N., and John D. Sterman. "Expert knowledge elicitation to improve formal and mental models." System Dynamics Review 14, no. 4 (1998): 309–40. http://dx.doi.org/10.1002/(sici)1099-1727(199824)14:4<309::aid-sdr154>3.0.co;2-5.

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Rowe, Anna L., Nancy J. Cooke, Kelly J. Neville, and Chris W. Schacherer. "Mental Models of Metal Models: A Comparison of Mental Model Measurement Techniques." Proceedings of the Human Factors Society Annual Meeting 36, no. 16 (1992): 1195–99. http://dx.doi.org/10.1177/154193129203601603.

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Although use of the mental model construct has proliferated in recent research, the construct lacks a clear definition and an agreed upon method of measurement. Furthermore, the reliability and validity of the different measurement techniques in use have not been established, thereby making generalizations across studies of mental models difficult. The purpose of the current project was to assess several methods of measuring mental models in terms of their reliability/stability over time. Subjects” mental models of the automobile engine system were elicited on two occasions separated by one we

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Whitmer, Daphne E., Valerie K. Sims, and Michael E. Torres. "Assessing Mental Models of Emergencies Through Two Knowledge Elicitation Tasks." Human Factors: The Journal of the Human Factors and Ergonomics Society 59, no. 3 (2016): 357–76. http://dx.doi.org/10.1177/0018720816672117.

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Barrera-Causil, Carlos Javier, and Juan Carlos Correa-Morales. "Elicitation of the Parameters of Multiple Linear Models." Revista Colombiana de Estadística 44, no. 1 (2021): 159–70. http://dx.doi.org/10.15446/rce.v44n1.83525.

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Estimating the parameters of a multiple linear model is a common task in all areas of sciences. In order to obtain conjugate distributions, the Bayesian estimation of these parameters is usually carried out using noninformative priors. When informative priors are considered in the Bayesian estimation an important problem arises because techniques arerequired to extract information from experts and represent it in an informative prior distribution. Elicitation techniques can be used for suchpurpose even though they are more complex than the traditional methods. In this paper, we propose a techn

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Harper, Samantha, and Stephen Dorton. "Towards a Context-Dependent Framework for Visualizing Mental Models." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 308–12. http://dx.doi.org/10.1177/1071181320641071.

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Mental models describe an internal representation of knowledge, which can be used to describe, explain, and predict a person’s interactions with their environment. While there is no shortage on mental model research, a recent literature review revealed the majority of research on mental models does not include an actual model of any kind. Mental models are able to capture complex information, which is difficult to effectively convey through written word alone. A set of visual metaphors are needed to effectively convey the disparate information that can be identified in mental models. We have c

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St-Cyr, Olivier, and Catherine M. Burns. "Mental Models and Ecological Interface Design: An Experimental Investigation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 3 (2002): 270–74. http://dx.doi.org/10.1177/154193120204600311.

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We studied the impact of Ecological Interface Design (EID) displays on mental models using the DURESS II simulator. To assess mental models we used a card sorting exercise, a network building exercise based on the Abstraction Hierarchy, and a system behavior prediction exercise. Participants in the EID condition performed significantly better on the card sorting and network building exercises, but poorer on the prediction exercise. Our results are mixed, suggesting that EID may improve the understanding of means- end links and yet, not improve the ability to predict system behavior. The relati

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Scielzo, Sandro, Stephen M. Fiore, Haydee M. Cuevas, and Eduardo Salas. "The Utility of Mental Model Assessment in Diagnosing Cognitive and Metacognitive Processes for Complex Training." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 3 (2002): 566–68. http://dx.doi.org/10.1177/154193120204600373.

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This paper illustrates the utility of mental model assessment in discriminating between high and low performers in terms of cognitive and metacognitive processes. Distinct computer-based knowledge elicitation methods were utilized to assess the acquisition of different knowledge types as well as the development of participants' mental models when training for a complex task. Additionally, participants' metacognitive accuracy was also measured. Results suggest that mental model assessment is diagnostic of knowledge acquisition for a complex task and mental model accuracy is related to accuracy

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Pramanik, Saugata, Sahil Pabbathi, and Shakuntala Acharya. "Exploring gesture generation for smartwatches: is user elicitation enough?" Proceedings of the Design Society 4 (May 2024): 1045–54. http://dx.doi.org/10.1017/pds.2024.107.

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AbstractGestures are a preferred mode of interaction for smartwatches and these are commonly elicited either by expert/designers or by users. This paper aims to understand the most promising approach for generating and assessing gestures by employing two empirical studies to validate a set of expert/designer-generated gestures. It further gains insights into the users' mental models, their role as co-creators, and their considerations for one-handed gestures in smartwatches, and discusses the virtue of incorporating both approaches of gesture elicitation.

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LaMere, Kelsey, Samu Mäntyniemi, Jarno Vanhatalo, and Päivi Haapasaari. "Making the most of mental models: Advancing the methodology for mental model elicitation and documentation with expert stakeholders." Environmental Modelling & Software 124 (February 2020): 104589. http://dx.doi.org/10.1016/j.envsoft.2019.104589.

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Vitharana, Padmal, Fatemeh Zahedi, and Hemant Jain. "Enhancing Analysts’ Mental Models for Improving Requirements Elicitation: A Two-stage Theoretical Framework and Empirical Results." Journal of the Association for Information Systems 17, no. 12 (2016): 804–40. http://dx.doi.org/10.17705/1jais.00444.

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Barber, Tanya, Lynn Toon, Puneeta Tandon, and Lee A. Green. "Eliciting and Understanding Primary Care and Specialist Mental Models of Cirrhosis Care: A Cognitive Task Analysis Study." Canadian Journal of Gastroenterology and Hepatology 2021 (June 15, 2021): 1–9. http://dx.doi.org/10.1155/2021/5582297.

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Background. Gaps in coordination and transitions of care for liver cirrhosis contribute to high rates of hospital readmissions and inadequate quality of care. Understanding the differences in the mental models held by specialty and primary care physicians may help to identify the root causes of problems in the coordination of cirrhosis care. Aim. To compare and identify differences in the mental models of cirrhosis care held by primary and specialty care physicians and nurse practitioners that may be addressed to improve coordination and transitions. Methods. Cross-sectional formal elicitation

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Park, Dasom, and Kiechan Namkung. "Exploring Users’ Mental Models for Anthropomorphized Voice Assistants through Psychological Approaches." Applied Sciences 11, no. 23 (2021): 11147. http://dx.doi.org/10.3390/app112311147.

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Various perspectives are being studied to increase the usability and persistence of voice assistants (VA) as the use is rapidly expanding to various domains. Particularly, many studies note that users personify VA. Systems designed to suit users differing mental models while using specific systems can provide a positive user experience, increasing usability and persistence. Therefore, we tried to structure the mental model of users using personified VA and proposed these results as an important factor to consider in personifying VA. To determine important factors to consider in personifying VA

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Kokko, Suvi, and Carl Johan Lagerkvist. "Using Zaltman Metaphor Elicitation Technique to Map Beneficiaries’ Experiences and Values." American Journal of Evaluation 38, no. 2 (2016): 205–25. http://dx.doi.org/10.1177/1098214016649054.

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Using a case example of an innovative sanitation solution in a slum setting, this study explores the usefulness of the Zaltman Metaphor Elicitation Technique in a program planning and evaluation context. Using a qualitative image-based method to map people’s mental models of ill-structured problems such as sanitation can aid program planners and evaluators in understanding how a program can fit the reality of beneficiaries. The technique is a tool for investigating what beneficiaries think about specific problems a program is aimed at solving and their underlying beliefs. The results offer a c

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Delima, Rosa, Khabib Mustofa, and Anny Kartika Sari. "Automatic Requirements Engineering: Activities, Methods, Tools, and Domains – A Systematic Literature Review." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 7, no. 3 (2023): 564–78. http://dx.doi.org/10.29207/resti.v7i3.4924.

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Requirements engineering (RE) is an initial activity in the software engineering process that involves many users. The involvement of various users in the RE process raises ambiguity and vagueness in requirements modeling. In addition, traditional RE is a time-consuming activity. Therefore various studies have been conducted to support process automation on RE. This paper conducts a systematic literature review (SLR) to obtain information about RE automation related to RE activities, methods/models, tools, and domains. SLR is done through 5 main stages: definition of research questions, conduc

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Klein, Gary. "The Value Added by Cognitive Task Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 9 (1995): 530–33. http://dx.doi.org/10.1177/154193129503900920.

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Cognitive Task Analysis (CTA) attempts to describe how people perform tasks: the cues and patterns they use, their inferences and strategies, mental models, and other related topics. It differs from behavioral task analyses that seek to enumerate the steps that must be followed without examining the expertise needed to perform critical steps. Therefore, CTA provides a more in-depth picture, which complements the broader and more comprehensive behavioral task analysis. A CTA usually consists of five steps: Preparation, Knowledge Elicitation, Data Analysis, Knowledge Representation, and Applicat

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Fiorini, Laura, Grazia D'Onofrio, Alessandra Sorrentino, et al. "The Role of Coherent Robot Behavior and Embodiment in Emotion Perception and Recognition During Human-Robot Interaction: Experimental Study." JMIR Human Factors 11 (January 26, 2024): e45494. http://dx.doi.org/10.2196/45494.

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Background Social robots are becoming increasingly important as companions in our daily lives. Consequently, humans expect to interact with them using the same mental models applied to human-human interactions, including the use of cospeech gestures. Research efforts have been devoted to understanding users’ needs and developing robot’s behavioral models that can perceive the user state and properly plan a reaction. Despite the efforts made, some challenges regarding the effect of robot embodiment and behavior in the perception of emotions remain open. Objective The aim of this study is dual.

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Cooke, Nancy J., Renée Stout, and Eduardo Salas. "Broadening the Measurement of Situation Awareness through Cognitive Engineering Methods." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 1 (1997): 215–19. http://dx.doi.org/10.1177/107118139704100149.

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Situation awareness (SA) and team SA are popular concepts, yet vaguely defined and inadequately measured. They involve representations of the current situation, performance resulting from those representations, and cognitive structures and processes leading to those representations. Current measures of individual and team SA focus on the assessment of performance or the accuracy of the resulting situation model at the expense of other aspects of SA, such as situation assessment, mental models, and team process behaviors. As a result, these measures fail to capture the richness of the construct

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Puspasari, Novita, and Eliada Herwiyanti. "SME’S Accounting Information in the Eyes of Bank Credit Analyst: Exploration with ZMET Method." Academic Journal of Interdisciplinary Studies 10, no. 6 (2021): 224. http://dx.doi.org/10.36941/ajis-2021-0167.

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This study aims to explore and gain an in-depth understanding of the views of bank credit analysts on SME’s accounting information in credit decision making. This study used the ZMET (Zaltman Metaphor Elicitation Technique) method to dig information from nine credit analysts as research participants with a qualitative approach. With ZMET's projective techniques through image metaphors, the study has identified 16 important constructs that describe bank credit analysts' mental models when facing the vagueness of SME’s accounting information in their credit decision-making process. The connectio

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Barnabč, Federico, and Mathias M. Fisher. "Il ruolo della simulazione nella esplicitazione e condivisione della conoscenza tacita." STUDI ORGANIZZATIVI, no. 1 (May 2009): 55–77. http://dx.doi.org/10.3280/so2009-001003.

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- Managers and operators working in complex and dynamic domains usually take their decision upon incomplete information and a relevant role is played by personal expectations and beliefs, as well as by their own mental models. In such contexts tacit knowledge becomes crucial, being the basis on which individuals take decisions and carry out actions. Therefore, it becomes essential to explicit, formalize and share tacit knowledge among all the employees and within the organization. In this regard, over the past few years many methodologies and techniques have been mentioned as useful for tacit

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Gualtieri, James, John Burns, Donita Phipps, Darian Reeves, and Linda Pierce. "Assessing Team Knowledge Structures: Findings from the Field." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 20 (1998): 1417–21. http://dx.doi.org/10.1177/154193129804202013.

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The factors that impact teams' cognitive representations of the systems with which they interact is an area of concentrated research effort. Not surprisingly, research indicates that these cognitive representations impact the team's functioning with the system. Despite the importance of these cognitive representations and their impact on performance, valid and reliable measurement in naturalistic environments remains elusive. Validity and reliability of a measure are especially important to assess the impact of training. The purpose of the current effort is to evaluate the efficacy of a partic

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Reese, Thomas, Noa Segall, Paige Nesbitt, et al. "Patient information organization in the intensive care setting: expert knowledge elicitation with card sorting methods." Journal of the American Medical Informatics Association 25, no. 8 (2018): 1026–35. http://dx.doi.org/10.1093/jamia/ocy045.

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Abstract Introduction Many electronic health records fail to support information uptake because they impose low-level information organization tasks on users. Clinical concept-oriented views have shown information processing improvements, but the specifics of this organization for critical care are unclear. Objective To determine high-level cognitive processes and patient information organization schema in critical care. Methods We conducted an open card sort of 29 patient data elements and a modified Delphi card sort of 65 patient data elements. Study participants were 39 clinicians with vari

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Sun, Weiwei, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten De Rijke, and Zhaochun Ren. "Contrastive Learning Reduces Hallucination in Conversations." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (2023): 13618–26. http://dx.doi.org/10.1609/aaai.v37i11.26596.

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Pre-trained language models (LMs) store knowledge in their parameters and can generate informative responses when used in conversational systems. However, LMs suffer from the problem of “hallucination:” they may generate plausible-looking statements that are irrelevant or factually incorrect. To address this problem, we propose a contrastive learning scheme, named MixCL. A novel mixed contrastive objective is proposed to explicitly optimize the implicit knowledge elicitation process of LMs, and thus reduce their hallucination in conversations. We also examine negative sampling strategies of re

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Thomas, Hayley Robyn, Megan Best, David Chua, David King, and Johanna Lynch. "Whole person assessment for family medicine: a systematic review." BMJ Open 13, no. 4 (2023): e065961. http://dx.doi.org/10.1136/bmjopen-2022-065961.

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ObjectivesTo identify and evaluate clinical approaches to whole person assessment (WPA) that are translatable to family medicine regarding feasibility, quality and alignment with theoretical models of whole person care (WPC).DesignSystematic literature review.Data sourcesMEDLINE, CINAHL, PsycINFO and ATLA Religion databases were searched through 9 March 2020, with additional handsearches.Eligibility criteriaEnglish language clinical assessments of multiple domains; which involve patient–clinician interaction and are translatable to general practice (GP); from the fields of medicine, allied hea

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Chowdhury, Debanjan, and Sadia Kamal. "Vaccination: A Literature Review from Inception till Date." Homœopathic Links 35, no. 02 (2022): 125–30. http://dx.doi.org/10.1055/s-0042-1755196.

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AbstractThe history of vaccine development has seen many accomplishments, but there are still many diseases that are difficult to target, and new technologies are being brought to bear on them. Past successes have been largely due to elicitation of protective antibodies based on predictions made from the study of animal models, natural infections and seroepidemiology. Those predictions have often been correct, as indicated by the decline of many infections for which vaccines have been made over the past 200 years. However, although vaccines have undoubtedly saved many millions of lives and are

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Yang, Zhuqing, Liya Zhou, and Zhengjun Jing. "A Novel Affective Analysis System Modeling Method Integrating Affective Cognitive Model and Bi-LSTM Neural Network." Computational Intelligence and Neuroscience 2022 (October 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/1856496.

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The severity of mental health issues among college students has increased over the past few years, having a significant negative impact on not only their academic performance but also on their families and even society as a whole. Therefore, one of the pressing issues facing college administrators right now is finding a method that is both scientific and useful for determining the mental health of college students. In pace with the advancement of Internet technology, the Internet has become an important communication channel for contemporary college students. As one of the main forces in the h

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Soumalias, Ermis Nikiforos, Jakob Weissteiner, Jakob Heiss, and Sven Seuken. "Machine Learning-Powered Combinatorial Clock Auction." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 9 (2024): 9891–900. http://dx.doi.org/10.1609/aaai.v38i9.28850.

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We study the design of iterative combinatorial auctions (ICAs). The main challenge in this domain is that the bundle space grows exponentially in the number of items. To address this, several papers have recently proposed machine learning (ML)-based preference elicitation algorithms that aim to elicit only the most important information from bidders. However, from a practical point of view, the main shortcoming of this prior work is that those designs elicit bidders' preferences via value queries (i.e., “What is your value for the bundle {A, B}?''). In most real-world ICA domains, value querie

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Fromont, Céline, Julien Blanco, Christian Culas, et al. "Towards an inclusive nature conservation initiative: Preliminary assessment of stakeholders’ representations about the Makay region, Madagascar." PLOS ONE 17, no. 8 (2022): e0272223. http://dx.doi.org/10.1371/journal.pone.0272223.

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The existence of multiple perspectives and representations of different stakeholders poses critical challenges to conservation initiatives worldwide. Thus, to foster more just and sustainable agendas in protected areas (PAs), this diversity of perspectives must be better understood, acknowledged, and tackled. In this article, we aimed to initiate this understanding for the Makay region in Madagascar, a poorly-known region where a ‘New Protected Area’ has been gazetted. In combining mental models and social representation theory, we explored different stakeholders’ perspectives about the Makay

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GIMENEZ, FERNANDO A. P., CLEUFE PELISSON, EUGÊNIO G. S. KRÜGER, and PAULO HAYASHI. "SMALL FIRMS' OWNER-MANAGERS CONSTRUCTION OF COMPETITION." Journal of Enterprising Culture 08, no. 04 (2000): 361–79. http://dx.doi.org/10.1142/s021849580000019x.

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This study explores how small firms' owner-managers view competition in their business environment and how this view may be associated with specific strategic choices leading to a competitive position in their markets. Its main research question deals with why different small firms' owner-managers choose different competitive strategies in a given industry setting. One of its main contentions is that in examining this phenomenon it was necessary first to explore the mental categorisations that guide the entrepreneurs' understanding of their competitive environment. Competition is a core concep

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Komang, Candra Brata, Pinandito Aryo, Dwi Priandani Nurizal, and Tri Ananta Mahardeka. "Usability improvement of public transit application through mental model and user journey." TELKOMNIKA Telecommunication, Computing, Electronics and Control 19, no. 2 (2021): pp. 397~405. https://doi.org/10.12928/TELKOMNIKA.v19i2.18323.

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Using a mobile application that is featured with local public transit information can greatly improve user action, as well as assisting travelers to have a better experience while taking public transit services. Crowd environment inside a public transit is one of the most frequent causes that lead difficulties to passengers when they engaging their mobile devices to access their apps or in some conditions. Finding crucial information such as stops points and remaining time to interchanges point when switching to another line becomes more difficult in those conditions especially for foreigners

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Cheng, Fang, Changzhou Hu, Wenwu Zhang, et al. "The influence of parenting style and coping behavior on nonsuicidal self-injury behavior in different genders based on path analysis." PeerJ 10 (December 9, 2022): e14507. http://dx.doi.org/10.7717/peerj.14507.

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Background Nonsuicidal self-injury (NSSI) behaviors—an important factor that profoundly affects the physical and mental health of young people—are induced by complex and diverse factors, while showing significant differences at the gender level. We examined mediating behaviors among parenting styles, students’ coping styles, and endogenous and exogenous influencing variables of adolescents’ NSSI behaviors. Methods In this cross-sectional study, Secondary school students in Ningbo, Zhejiang Province, China (n = 2,689; F/M:1532/1157) were surveyed for basic attributes, parenting styles, coping s

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Karina, Pérez-Teruel, and Leyva-Vázquez Maikel. "Neutrosophic Logic for Mental Model Elicitation and Analysis." July 1, 2015. https://doi.org/10.5281/zenodo.22591.

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Mental models are personal, internal representations of external reality that people use to interact with the world around them. They are useful in multiple situations such as muticriteria decision making, knowledge management, complex system learning and analysis. In this paper a framework for mental models elicitation and analysis based on neutrosophic Logic is presented. An illustrative example is provided to show the applicability of the proposal. The paper ends with conclusion future research directions.

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Pérez-Teruel, Karina, and Maikel Leyva-Vázquez. "Neutrosophic Logic for Mental Model Elicitation and Analysis." Neutrosophic Sets and Systems 2, 2014 (May 5, 2014). https://doi.org/10.5281/zenodo.571559.

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Mental models are personal, internal representations of external reality that people use to interact with the world around them. They are useful in multiple situations such as muticriteria decision making, knowledge management, complex system learning and analysis. In this paper a framework for mental models elicitation and analysis based on neutrosophic Logic is presented. An illustrative example is provided to show the applicability of the proposal. The paper ends with conclusion future research directions.

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Maikel, Leyva-Vázquez, Escobar-Jara Rebeca, and Smarandache Florentin. "Modelos mentales y mapas cognitivos neutrosóficos Mental models and neutrosophic cognitive maps." February 28, 2018. https://doi.org/10.5281/zenodo.1254944.

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In this work, elements related to mental models elicitation and analysis are addressed through causal models. Issues related to the need to include indeterminacy in causal relationships through neutrophic cognitive maps are discussed. A proposal for static analysis in neutrosophic cognitive maps is presented. The following activities are included in the proposal: Calculate, measures of centrality, Classify nodes, De-neutrosification, and Ranking nodes. As future works, the incorporation of new metrics of centrality in neutrosophic cognitive maps is proposed. The inclusion o

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Ramon Alaman, Jonay, Daniel Lafond, Alexandre Marois, and Sébastien Tremblay. "Inverse Counterfactual for AI-Assisted Decision Support: Enhancing Knowledge Elicitation for Capturing Aircraft Pilot Decisions." Proceedings of the Human Factors and Ergonomics Society Annual Meeting, July 20, 2025. https://doi.org/10.1177/10711813251358254.

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Integrating AI into decision-support systems (DSS) for safety-critical domains like aviation requires aligning system behavior with pilot mental models to provide relevant information. Using the Cognitive Shadow—a DSS that models operator decisions and notifies discrepancies—we evaluated a novel knowledge-elicitation technique: the inverse counterfactual. After selecting their preferred option, users modified a single factor to make their second-best option preferable, creating paired cases across their decision boundary. In a simulated adverse-weather avoidance task, 44 participants completed

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Cheng, Fangyuan, Emily Fang, and Karen B. Chen. "Mental Models of Gestural Interaction for Information Processing in Virtual Reality." Proceedings of the Human Factors and Ergonomics Society Annual Meeting, July 16, 2025. https://doi.org/10.1177/10711813251357931.

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Virtual reality (VR) provides an immersive medium for information processing. Gestures offer a natural and intuitive means of translating cognitive processes into physical actions, making them a promising interaction method to support information processing in VR. However, how gestures reflect and map abstract cognitive tasks to physical interactions remains underexplored. To address this gap, this study explored the mental models by which end-users design gestural interactions to support information processing in VR. Using a gesture elicitation method, 8 participants created 445 gestures repr

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Holtrop, Jodi Summers, Laura D. Scherer, Daniel D. Matlock, Russell E. Glasgow, and Lee A. Green. "The Importance of Mental Models in Implementation Science." Frontiers in Public Health 9 (July 6, 2021). http://dx.doi.org/10.3389/fpubh.2021.680316.

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Implementation science is concerned with the study of adoption, implementation and maintenance of evidence-based interventions and use of implementation strategies to facilitate translation into practice. Ways to conceptualize and overcome challenges to implementing evidence-based practice may enhance the field of implementation science. The concept of mental models may be one way to view such challenges and to guide selection, use, and adaptation of implementation strategies to deliver evidence-based interventions. A mental model is an interrelated set of beliefs that shape how a person forms

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Kumari, Amita, Parikshit Layek, Rajesh Kumar, Madhu Singh, and Puja Raj. "Mental Models: An Interdisciplinary Theory in Teaching and Learning." IARS International Research Journal 15, no. 01 (2025). https://doi.org/10.51611/iars.irj.v15i01.2025.262.

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Mind models are individualized internal images of external reality used by individuals to communicate with their environment. They are built by people on the basis of their unique experiences and views of the world. Mental models are utilized to reason and to decide and may form the foundation of any behavior. They offer the mechanism for filtering and storing new information. A major element of successful natural resource management practice (NRM) is now regarded to recognize and deal with the diversity of views, beliefs and objectives of stakeholders. Therefore, we will create methods to imp

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Ekberg, Joakim, Toomas Timpka, and Elin A. Gursky. "Elicitation of Pandemic Coping Strategies among Health Care Workers: Contextual Adaptation of a Mental Models Method." Journal of Homeland Security and Emergency Management 6, no. 1 (2009). http://dx.doi.org/10.2202/1547-7355.1503.

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Barber, Tanya, Lynn Toon, Puneeta Tandon, and Lee A. Green. "Exploring provider roles, continuity, and mental models in cirrhosis care: A qualitative study." Canadian Liver Journal, September 6, 2022. http://dx.doi.org/10.3138/canlivj-2022-0020.

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BACKGROUND: Advanced cirrhosis results in frequent emergency department visits, hospital admissions and readmissions, and a high risk of premature death. We previously identified and compared differences in the mental models of cirrhosis care held by primary and specialty care physicians and nurse practitioners that may be addressed to improve coordination and transitions in care. The aim of this paper is to further explore how challenges to continuity and coordination of care influence how health care providers adapt in their approaches to and development of mental models of cirrhosis care. M

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Merry, Michael, Pat Riddle, and Jim Warren. "A mental models approach for defining explainable artificial intelligence." BMC Medical Informatics and Decision Making 21, no. 1 (2021). http://dx.doi.org/10.1186/s12911-021-01703-7.

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Abstract Background Wide-ranging concerns exist regarding the use of black-box modelling methods in sensitive contexts such as healthcare. Despite performance gains and hype, uptake of artificial intelligence (AI) is hindered by these concerns. Explainable AI is thought to help alleviate these concerns. However, existing definitions for explainable are not forming a solid foundation for this work. Methods We critique recent reviews on the literature regarding: the agency of an AI within a team; mental models, especially as they apply to healthcare, and the practical aspects of their elicitatio

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Mallise, Carly, Laura Wall, Francesco Paolucci, et al. "Virtual Service Delivery in Mental Health and Substance Use Care: A Systematic Review of Preference Elicitation Studies." Community Mental Health Journal, September 13, 2024. http://dx.doi.org/10.1007/s10597-024-01350-y.

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AbstractMental health and substance use disorders affect the lives of many people worldwide. Prevention and treatment of these conditions is important for optimal health and wellbeing, yet service access barriers are common. Virtual models of care may help to reduce barriers to receiving care. However, to facilitate uptake and use of virtual services, they need to appeal to patients and clinicians. This systematic review aimed to synthesise preference elicitation studies to determine what features of virtual mental health and substance use care are preferred by service users and service provid

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Parola, Giulia, Julia Thaler, and Matteo Solivo. "Metaphors in Career Development: Using ZMET to Explore How an Employment Initiative Changes NEETs’ Mental Models." Journal of Career Assessment, June 21, 2023. http://dx.doi.org/10.1177/10690727231185174.

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Noting the lack of in-depth insights into the role of emotions and the malleability of affective dispositions for career development, the current research adopts a single case study approach, involving an employment initiative, to elicit conscious and unconscious emotions and beliefs of participants who are not in employment, education, or training (NEETs). Using Zaltman metaphor elicitation technique (ZMET), which involves in-depth, semi-structured interviews and images, the authors determine that comfort emotions represent necessary conditions, acting as filters that alter mental representat

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Barradas-Chacón, Luis Alberto, Clemens Brunner, and Selina C. Wriessnegger. "Stylized faces enhance ERP features used for the detection of emotional responses." Frontiers in Human Neuroscience 17 (April 27, 2023). http://dx.doi.org/10.3389/fnhum.2023.1160800.

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For their ease of accessibility and low cost, current Brain-Computer Interfaces (BCI) used to detect subjective emotional and affective states rely largely on electroencephalographic (EEG) signals. Public datasets are available for researchers to design models for affect detection from EEG. However, few designs focus on optimally exploiting the nature of the stimulus elicitation to improve accuracy. The RSVP protocol is used in this experiment to present human faces of emotion to 28 participants while EEG was measured. We found that artificially enhanced human faces with exaggerated, cartoonis

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Pihl, Erik, Eva Alfredsson, Magnus Bengtsson, et al. "Ten new insights in climate science 2020 – a horizon scan." Global Sustainability 4 (2021). http://dx.doi.org/10.1017/sus.2021.2.

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Non-technical summaryWe summarize some of the past year's most important findings within climate change-related research. New research has improved our understanding of Earth's sensitivity to carbon dioxide, finds that permafrost thaw could release more carbon emissions than expected and that the uptake of carbon in tropical ecosystems is weakening. Adverse impacts on human society include increasing water shortages and impacts on mental health. Options for solutions emerge from rethinking economic models, rights-based litigation, strengthened governance systems and a new social contract. The

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Burghoorn, Floor, Anouk Scheres, John Monterosso, et al. "Pavlovian impatience: The anticipation of immediate rewards increases approach behaviour." Cognitive, Affective, & Behavioral Neuroscience, October 28, 2024. http://dx.doi.org/10.3758/s13415-024-01236-2.

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AbstractPeople often exhibit intertemporal impatience by choosing immediate small over delayed larger rewards, which has been implicated across maladaptive behaviours and mental health symptoms. In this preregistered study, we tested the role of an intertemporal Pavlovian bias as possible psychological mechanism driving the temptation posed by immediate rewards. Concretely, we hypothesized that the anticipation of immediate rewards (compared with preference-matched delayed rewards) enhances goal-directed approach behaviour but interferes with goal-directed inhibition. Such a mechanism could co

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Milligan, Gregor, Aynsley Bernard, Liz Dowthwaite, Elvira Perez Vallejos, and James Goulding. "Generating a Single Session Outcome Measure from Digital Mental Health Platform Footprints Using Natural Language Processing." International Journal of Population Data Science 8, no. 3 (2023). http://dx.doi.org/10.23889/ijpds.v8i3.2269.

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Introduction & BackgroundThis work demonstrates the development of an Adult Session Wants and Needs Outcome Measure (Adult SWAN-OM) aimed at supporting service delivery within the digital mental health platform (DMHP), Qwell. Qwell is a DMHP commissioned by the United Kingdom’s National Health Service which provides access to an online community of peers, a team of experienced counsellors, and a cadre of emotional well-being practitioners. The service is anonymous at point of entry and free for users, and provides an extensive, person-centred approach which results in a wide range of user

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Guo, Weitong, Hongwu Yang, Zhenyu Liu, Yaping Xu, and Bin Hu. "Deep Neural Networks for Depression Recognition Based on 2D and 3D Facial Expressions Under Emotional Stimulus Tasks." Frontiers in Neuroscience 15 (April 23, 2021). http://dx.doi.org/10.3389/fnins.2021.609760.

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The proportion of individuals with depression has rapidly increased along with the growth of the global population. Depression has been the currently most prevalent mental health disorder. An effective depression recognition system is especially crucial for the early detection of potential depression risk. A depression-related dataset is also critical while evaluating the system for depression or potential depression risk detection. Due to the sensitive nature of clinical data, availability and scale of such datasets are scarce. To our knowledge, there are few extensively practical depression

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Janssens, Rosanne, Tamika Lang, Ana Vallejo, et al. "What matters most to patients with multiple myeloma? A Pan-European patient preference study." Frontiers in Oncology 12 (November 29, 2022). http://dx.doi.org/10.3389/fonc.2022.1027353.

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IntroductionGiven the rapid increase in novel treatments for patients with multiple myeloma (MM), this patient preference study aimed to establish which treatment attributes matter most to MM patients and evaluate discrete choice experiment (DCE) and swing weighting (SW) as two elicitation methods for quantifying patients’ preferences.MethodsA survey incorporating DCE and SW was disseminated among European MM patients. The survey included attributes and levels informed by a previous qualitative study with 24 MM patients. Latent class and mixed logit models were used to estimate the DCE attribu

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