Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Maneuvrier, A.; Ceyte, H.; Renaud, P.; Morello, R.; Fleury, P.; Decker, L. M.
Virtual reality and neuropsychological assessment: an analysis of human factors influencing performance and perceived mental effort Article de journal
Dans: Virtual Reality, vol. 27, no 2, p. 849–861, 2023, ISSN: 13594338, (Publisher: Springer Science and Business Media Deutschland GmbH).
Résumé | Liens | BibTeX | Étiquettes: Cluster Analysis, cybersickness, Executive control of attention, Field dependence, Field dependence–independence, Game experience, Human computer interaction, Human engineering, Interactive computer graphics, Mental effort, Sense of presences, Video game experience, Video-games, virtual reality, WISCONSIN
@article{maneuvrier_virtual_2023,
title = {Virtual reality and neuropsychological assessment: an analysis of human factors influencing performance and perceived mental effort},
author = {A. Maneuvrier and H. Ceyte and P. Renaud and R. Morello and P. Fleury and L. M. Decker},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138552678&doi=10.1007%2fs10055-022-00698-4&partnerID=40&md5=631390bbdefb4b05de9565fb986e1923},
doi = {10.1007/s10055-022-00698-4},
issn = {13594338},
year = {2023},
date = {2023-01-01},
journal = {Virtual Reality},
volume = {27},
number = {2},
pages = {849–861},
abstract = {This study aimed to compare a neuropsychological test tapping into executive control function, the Wisconsin Card Sorting Test (WCST), performed in either traditional paper-and-pencil (PP) or virtual reality (VR) modality, and to determine the role of human factors (i.e., sense of presence, cybersickness, field (in)dependence and video game experience) as contributors to performance and perceived mental effort. Indeed, if virtual assessment might bring the ecological dimension to controlled laboratory research, it is often suggested that human factors might bias performance. WCST performance and its associated perceived mental effort were compared between the two modalities (N = 107). In the VR modality (N = 52), a correlation matrix was conducted as well as a cluster analysis in order to build two experimental groups, or profiles, based on their subjective experience of VR. WCST performance and perceived mental effort were then compared between these two groups while controlling for age and education. Results outlined a similar WCST performance and perceived mental effort between the PP and VR modalities. However, when comparing the two VR groups, results suggest that an unfavorable profile for VR, i.e., less sense of presence, more cybersickness, more visual field dependence and less video game experience, is associated with greater perceived mental effort. These experimental findings enable outlining a new conceptual and methodological framework for the assessment of executive control task performance in VR. Results could help users to take human factors into consideration in order to fully exploit or predict the benefits of this tool. © 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.},
note = {Publisher: Springer Science and Business Media Deutschland GmbH},
keywords = {Cluster Analysis, cybersickness, Executive control of attention, Field dependence, Field dependence–independence, Game experience, Human computer interaction, Human engineering, Interactive computer graphics, Mental effort, Sense of presences, Video game experience, Video-games, virtual reality, WISCONSIN},
pubstate = {published},
tppubtype = {article}
}
This study aimed to compare a neuropsychological test tapping into executive control function, the Wisconsin Card Sorting Test (WCST), performed in either traditional paper-and-pencil (PP) or virtual reality (VR) modality, and to determine the role of human factors (i.e., sense of presence, cybersickness, field (in)dependence and video game experience) as contributors to performance and perceived mental effort. Indeed, if virtual assessment might bring the ecological dimension to controlled laboratory research, it is often suggested that human factors might bias performance. WCST performance and its associated perceived mental effort were compared between the two modalities (N = 107). In the VR modality (N = 52), a correlation matrix was conducted as well as a cluster analysis in order to build two experimental groups, or profiles, based on their subjective experience of VR. WCST performance and perceived mental effort were then compared between these two groups while controlling for age and education. Results outlined a similar WCST performance and perceived mental effort between the PP and VR modalities. However, when comparing the two VR groups, results suggest that an unfavorable profile for VR, i.e., less sense of presence, more cybersickness, more visual field dependence and less video game experience, is associated with greater perceived mental effort. These experimental findings enable outlining a new conceptual and methodological framework for the assessment of executive control task performance in VR. Results could help users to take human factors into consideration in order to fully exploit or predict the benefits of this tool. © 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
2.
Monthuy-Blanc, J.; Faghihi, U.; Fardshad, M. N. G.; Corno, G.; Iceta, S.; St-Pierre, M. -J.; Bouchard, S.
When Eating Intuitively Is Not Always a Positive Response: Using Machine Learning to Better Unravel Eaters Profiles Article de journal
Dans: Journal of Clinical Medicine, vol. 12, no 16, 2023, ISSN: 20770383, (Publisher: Multidisciplinary Digital Publishing Institute (MDPI)).
Résumé | Liens | BibTeX | Étiquettes: adult, aged, article, body dissatisfaction, bulimia, causal reasoning, Cluster Analysis, controlled study, coronavirus disease 2019, feeding behavior, female, health survey, human, intuitive eating, Machine learning, major clinical study, male, online analysis, pandemic, self report
@article{monthuy-blanc_when_2023,
title = {When Eating Intuitively Is Not Always a Positive Response: Using Machine Learning to Better Unravel Eaters Profiles},
author = {J. Monthuy-Blanc and U. Faghihi and M. N. G. Fardshad and G. Corno and S. Iceta and M. -J. St-Pierre and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169079324&doi=10.3390%2fjcm12165172&partnerID=40&md5=2241ae85a40c73e19f30c5c3d10b514a},
doi = {10.3390/jcm12165172},
issn = {20770383},
year = {2023},
date = {2023-01-01},
journal = {Journal of Clinical Medicine},
volume = {12},
number = {16},
abstract = {Background: The aim of the present study was to identify eaters profiles using the latest advantages of Machine Learning approach to cluster analysis. Methods: A total of 317 participants completed an online-based survey including self-reported measures of body image dissatisfaction, bulimia, restraint, and intuitive eating. Analyses were conducted in two steps: (a) identifying an optimal number of clusters, and (b) validating the clustering model of eaters profile using a procedure inspired by the Causal Reasoning approach. Results: This study reveals a 7-cluster model of eaters profiles. The characteristics, needs, and strengths of each eater profile are discussed along with the presentation of a continuum of eaters profiles. Conclusions: This conceptualization of eaters profiles could guide the direction of health education and treatment interventions targeting perceptual and eating dimensions. © 2023 by the authors.},
note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},
keywords = {adult, aged, article, body dissatisfaction, bulimia, causal reasoning, Cluster Analysis, controlled study, coronavirus disease 2019, feeding behavior, female, health survey, human, intuitive eating, Machine learning, major clinical study, male, online analysis, pandemic, self report},
pubstate = {published},
tppubtype = {article}
}
Background: The aim of the present study was to identify eaters profiles using the latest advantages of Machine Learning approach to cluster analysis. Methods: A total of 317 participants completed an online-based survey including self-reported measures of body image dissatisfaction, bulimia, restraint, and intuitive eating. Analyses were conducted in two steps: (a) identifying an optimal number of clusters, and (b) validating the clustering model of eaters profile using a procedure inspired by the Causal Reasoning approach. Results: This study reveals a 7-cluster model of eaters profiles. The characteristics, needs, and strengths of each eater profile are discussed along with the presentation of a continuum of eaters profiles. Conclusions: This conceptualization of eaters profiles could guide the direction of health education and treatment interventions targeting perceptual and eating dimensions. © 2023 by the authors.
3.
Nouwen, A.; Gingras, J.; Talbot, F.; Bouchard, S.
The Development of an Empirical Psychosocial Taxonomy for Patients with Diabetes Article de journal
Dans: Health Psychology, vol. 16, no 3, p. 263–271, 1997, ISSN: 02786133, (Publisher: American Psychological Association Inc.).
Résumé | Liens | BibTeX | Étiquettes: Adaptation, adaptive behavior, Adolescent, adult, aged, article, Attitude to Health, Cluster Analysis, comparative study, Depression, Depressive Disorder, Diabetes Mellitus, female, human, Humans, male, Middle Aged, Psychological, psychological aspect, questionnaire, Questionnaires, Social Support
@article{nouwen_development_1997,
title = {The Development of an Empirical Psychosocial Taxonomy for Patients with Diabetes},
author = {A. Nouwen and J. Gingras and F. Talbot and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0031136468&doi=10.1037%2f0278-6133.16.3.263&partnerID=40&md5=710f3c6a05c5ba553f3d2a06c08d4e1e},
doi = {10.1037/0278-6133.16.3.263},
issn = {02786133},
year = {1997},
date = {1997-01-01},
journal = {Health Psychology},
volume = {16},
number = {3},
pages = {263–271},
abstract = {The main purpose of this study was to develop and to cross-validate an empirically derived psychosocial taxonomy of patients with diabetes. In the first study, 101 patients with Type I or Type II diabetes completed the Multidimensional Diabetes Questionnaire. Cluster analysis identified three clusters, labeled adaptive copers, low support-low involvement, and spousal overinvolvement. In the second study, the taxonomy was cross-validated using an independent sample of 132 patients with long-standing Type II diabetes. The results confirmed that the multivariate classification system was unique and highly accurate. External validation, using general psychological as well as diabetes-specific measures, supported the validity and distinctiveness of the patients' profiles. These findings help establish a multiaxial psychosocial taxonomy of diabetes and may have significant implications for the management of patients with diabetes.},
note = {Publisher: American Psychological Association Inc.},
keywords = {Adaptation, adaptive behavior, Adolescent, adult, aged, article, Attitude to Health, Cluster Analysis, comparative study, Depression, Depressive Disorder, Diabetes Mellitus, female, human, Humans, male, Middle Aged, Psychological, psychological aspect, questionnaire, Questionnaires, Social Support},
pubstate = {published},
tppubtype = {article}
}
The main purpose of this study was to develop and to cross-validate an empirically derived psychosocial taxonomy of patients with diabetes. In the first study, 101 patients with Type I or Type II diabetes completed the Multidimensional Diabetes Questionnaire. Cluster analysis identified three clusters, labeled adaptive copers, low support-low involvement, and spousal overinvolvement. In the second study, the taxonomy was cross-validated using an independent sample of 132 patients with long-standing Type II diabetes. The results confirmed that the multivariate classification system was unique and highly accurate. External validation, using general psychological as well as diabetes-specific measures, supported the validity and distinctiveness of the patients' profiles. These findings help establish a multiaxial psychosocial taxonomy of diabetes and may have significant implications for the management of patients with diabetes.