PhysioCHI: Lessons learned from implementing human-centered physiological computing

Schnizer, Kathrin; Mitrevska, Teodora; Tag, Benjamin; El Ali, Abdallah; Mayer, Sven

doi:10.1145/3772363.3778794

K. Schnizer (Kathrin), T. Mitrevska (Teodora), B. Tag (Benjamin), A. El Ali (Abdallah) and S. Mayer (Sven)

2026-04-13

PhysioCHI: Lessons learned from implementing human-centered physiological computing

Presented at the CHI EA '26: Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (April 2026), Barcelona, Spain

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 technical challenges. These include the lack of standardized protocols, unclear guidelines for data collection and preprocessing, and difficulties in pipeline management, reproducibility, and transparency. The purpose of this meet-up is to offer a lightweight opportunity for CHI attendees to connect around these issues, exchange experiences, share tools and workflows, and identify best practices. By fostering open exchange, we aim to improve the reliability of physiological data in HCI, promote open science, and build a sustainable community. Ultimately, our goal is to overcome technical barriers and strengthen the foundation for future research in physiological computing.

Additional Metadata
Keywords	Physiological computing, Open science, EEG, fNIRS, Brain-computer interface, Eye tracking, Electrodermal activity, ECG, EMG
Publisher	Association for Computing Machinery
Persistent URL	doi.org/10.1145/3772363.3778794
Conference	CHI EA '26: Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
Rights	creativecommons.org/licenses/by/4.0/
Organisation	Distributed and Interactive Systems
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Schnizer, K., Mitrevska, T., Tag, B., El Ali, A.& Mayer, S. (2026). PhysioCHI: Lessons learned from implementing human-centered physiological computing. CHI EA: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 812:1–812:3.https://doi.org/10.1145/3772363.3778794