Interdisciplinary Workshop on XR and AI Interfaces for Stress Management
Issued Date
2026-01-01
Resource Type
ISSN
03029743
eISSN
16113349
Scopus ID
2-s2.0-105041964521
Journal Title
Lecture Notes in Computer Science
Volume
16428 LNCS
Start Page
463
End Page
476
Rights Holder(s)
SCOPUS
Bibliographic Citation
Lecture Notes in Computer Science Vol.16428 LNCS (2026) , 463-476
Suggested Citation
Dong Z., Zhang J., Siriaraya P., Hirai T., Liew K., Thanyadit S., Intharah T., Yomaboot P., Ens B., Clark A., Piumsomboon T. Interdisciplinary Workshop on XR and AI Interfaces for Stress Management. Lecture Notes in Computer Science Vol.16428 LNCS (2026) , 463-476. 476. doi:10.1007/978-981-95-7195-6_34 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/117452
Title
Interdisciplinary Workshop on XR and AI Interfaces for Stress Management
Corresponding Author(s)
Other Contributor(s)
Abstract
Modern young people typically experience stress in their studies and daily lives, making management methods essential for stress reduction and psychological well-being. With the continued advancement of XR and AI, the effectiveness and functionality of these techniques in stress management are drawing increasing attention. The integration of XR and AI offers expanded possibilities for stress regulation. To explore the future potential of combinations of XR and AI in stress management, we organised an interdisciplinary workshop comprising experts in psychology, interaction design, XR and AI. This workshop generated two preliminary research concepts that served as a prelude for further research.