Detecting Stress in VR 360° immersive experiences for older adults through eye tracking and psychophysiological signals
Angelini, Leonardo; Bompard, Corentin; Khaled, Omar Abou; Mugellini, Elena
2023
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Résumé

This paper presents the architecture and a preliminary prototype of a system for detecting stress during immersive virtual reality (VR) simulations. The VR4AGE system is designed for professionals that wish to use virtual reality headsets to allow older adults with dementia to experience 360 videos with an increased safety. The system aims at using eye tracking and unobtrusive psychophysiological signal monitoring to detect cognitive activation and distress. Informing as soon as possible the healthcare professionals about the patient’s status would allow them to continue or stop the therapy, depending on the patient’s reactions. This could help assessing whether nursing home residents with dementia that are unable to speak and express their emotions react positively or negatively to the VR simulation.

Détails

Titre Detecting Stress in VR 360° immersive experiences for older adults through eye tracking and psychophysiological signals
Auteur(s)/ trice(s) Angelini, Leonardo (School of Management Fribourg, HES-SO // University of Applied Sciences Western Switzerland; School of Engineering and Architecture (HEIA-FR), HES-SO University of Applied Sciences Western Switzerland)
Bompard, Corentin (School of Engineering and Architecture (HEIA-FR), HES-SO University of Applied Sciences Western Switzerland)
Khaled, Omar Abou (School of Engineering and Architecture (HEIA-FR), HES-SO University of Applied Sciences Western Switzerland)
Mugellini, Elena (School of Engineering and Architecture (HEIA-FR), HES-SO University of Applied Sciences Western Switzerland)
Date 2023-07
Publié dans Proceedings of Human Aspects of IT for the Aged Population 9th International Conference, ITAP 2023, Held as Part of the 25th HCI International Conference, HCII 2023, 23-28 July 2023, Copenhagen, Denmark Proceedings, Part I
Pages / Numéro d'article 511-521
Editeur Cham, Springer
Pagination 11 p.
Présenté à International Conference on Human-Computer Interaction : Human Aspects of IT for the Aged Population, Copenhagen, Denmark, 2023-07-23, 2023-07-28
ISBN 9783031348655
DOI https://doi.org/10.1007/978-3-031-34866-2_36
ISSN 0302-9743
Collection et n° Lecture Notes in Computer Science (LNCS), vol. 14042
Mots-clés (libres) virtual reality ; eye tracking ; psychophysiological signals ; stress ; dementia
Type de papier published full paper
Domaine Economie et Services
Ingénierie et Architecture
Ecole HEG-FR
HEIA-FR
Institut HumanTech - Technology for Human Wellbeing Institute
Ressource(s) externe(s) Accès au catalogue des bibliothèques
Le document apparaît dans Documents de conférences
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