PhysioCHI: Towards best practices for integrating physiological signals in HCI

Francesco Chiossi, Ekaterina R. Stepanova, Benjamin Tag, Monica Perusquia-Hernandez, Alexandra Kitson, Arindam Dey, Sven Mayer, Abdallah El Ali

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

1 Citation (Scopus)

Abstract

Recently, we saw a trend toward using physiological signals in interactive systems. These signals, offering deep insights into users' internal states and health, herald a new era for HCI. However, as this is an interdisciplinary approach, many challenges arise for HCI researchers, such as merging diverse disciplines, from understanding physiological functions to design expertise. Also, isolated research endeavors limit the scope and reach of findings. This workshop aims to bridge these gaps, fostering cross-disciplinary discussions on usability, open science, and ethics tied to physiological data in HCI. In this workshop, we will discuss best practices for embedding physiological signals in interactive systems. Through collective efforts, we seek to craft a guiding document for best practices in physiological HCI research, ensuring that it remains grounded in shared principles and methodologies as the field advances.

Original languageEnglish
Title of host publicationExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems
EditorsJulie R. Williamson, Corina Sas
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages7
ISBN (Electronic)9798400703317
DOIs
Publication statusPublished - 2024
EventInternational Conference on Human Factors in Computing Systems 2024: Surfing the World - Hybrid, Honolulu, United States of America
Duration: 11 May 202416 May 2024
https://chi2024.acm.org/
https://dl.acm.org/doi/proceedings/10.1145/3613904 (proceedings)
https://dl.acm.org/doi/proceedings/10.1145/3613905 (Extended Abstracts)

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2024
Abbreviated titleCHI 2024
Country/TerritoryUnited States of America
CityHybrid, Honolulu
Period11/05/2416/05/24
Internet address

Keywords

  • Affective Computing
  • Ethics
  • Open Science
  • Physiological Computing
  • Physiological Signals
  • Replicability
  • Reproducibility
  • Transparency

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