SIG PhysioCHI: Human-Centered Physiological Computing in Practice
Publication date
2025-04-26
Editors
Advisors
Supervisors
Document Type
Part of book
Metadata
Show full item recordCollections
License
taverne
Abstract
In recent years, integrating physiological signals in Human-Computer Interaction research has significantly advanced our understanding of user experiences and interactions. However, the interdisciplinary nature of this research presents numerous challenges, including the need for standardized protocols and reporting guidelines. By fostering cross-disciplinary collaboration, we seek to enhance the reproducibility, transparency, and ethical considerations of physiological data in HCI. The purpose of this SIG is to offer a lightweight opportunity for CHI attendees to connect with the community around the center point of physiological computing. This SIG will address key topics such as technical challenges, ethical implications, reproducibility, and open science. We aim to meet as a community and connect with HCI researchers and practitioners to network and exchange bi-directional ideas. Ultimately, our goal is to create a foundation for future research and to establish a community around physiological computing.
Keywords
Brain-Computer Interface, ECG, EEG, Electrodermal Activity, EMG, Eye Tracking, fNIRS, Open Science, Physiological Computing, Taverne, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Software
Citation
Mitrevska, T, Tag, B, Perusquia-Hernandez, M, Niijima, A, Sidenmark, L, Solovey, E, El Ali, A, Mayer, S & Chiossi, F 2025, SIG PhysioCHI : Human-Centered Physiological Computing in Practice. in CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems., 862, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025, Yokohama, Japan, 26/04/25. https://doi.org/10.1145/3706599.3716289, conference