research-article

A Critique of Electrodermal Activity Practices at CHI

Authors:

Ebrahim Babaei,

Tilman Dingler,

Eduardo VellosoAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 177, Pages 1 - 14

https://doi.org/10.1145/3411764.3445370

Published: 07 May 2021 Publication History

Abstract

Electrodermal activity data is widely used in HCI to capture rich and unbiased signals. Results from related fields, however, have suggested several methodological issues that can arise when practices do not follow established standards. In this paper, we present a systematic methodological review of CHI papers involving the use of EDA data according to best practices from the field of psychophysiology, where standards are well-established and mature. We found severe issues in our sample at all stages of the research process. To ensure the validity of future research, we highlight pitfalls and offer directions for how to improve community standards.

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Cited By

Besga SRodriguez NSallaberry APapastergiou TPoncelet P(2025)Task-blind adaptive virtual reality: Is it possible to help users without knowing their assignments?Virtual Reality10.1007/s10055-025-01100-929:1Online publication date: 5-Feb-2025
https://doi.org/10.1007/s10055-025-01100-9
Nandipati KPal SMitra R(2024)Electrodermal Activity (EDA) Morphologies and Prediction of Engagement with Simple Moving Average Crossover: A Mixed-Method StudySensors10.3390/s2414456524:14(4565)Online publication date: 14-Jul-2024
https://doi.org/10.3390/s24144565
Ji KPathiyan Cherumanal STrippas JHettiachchi DSalim FScholer FSpina D(2024)Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational SearchAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680245(1-10)Online publication date: 21-Sep-2024
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A Critique of Electrodermal Activity Practices at CHI
1. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
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University of New South Wales, Australia
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University of California Santa Cruz, USA
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Takeo Igarashi
The University of Tokyo, Japan
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University of Copenhagen, Denmark
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Steven Drucker
Microsoft Research, USA

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Published: 07 May 2021

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Cited By

Besga SRodriguez NSallaberry APapastergiou TPoncelet P(2025)Task-blind adaptive virtual reality: Is it possible to help users without knowing their assignments?Virtual Reality10.1007/s10055-025-01100-929:1Online publication date: 5-Feb-2025
https://doi.org/10.1007/s10055-025-01100-9
Nandipati KPal SMitra R(2024)Electrodermal Activity (EDA) Morphologies and Prediction of Engagement with Simple Moving Average Crossover: A Mixed-Method StudySensors10.3390/s2414456524:14(4565)Online publication date: 14-Jul-2024
https://doi.org/10.3390/s24144565
Ji KPathiyan Cherumanal STrippas JHettiachchi DSalim FScholer FSpina D(2024)Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational SearchAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680245(1-10)Online publication date: 21-Sep-2024
https://dl.acm.org/doi/10.1145/3640471.3680245
Lee HJung YShin YPark HChoi WLee U(2024)FamilyScope: Visualizing Affective Aspects of Family Social Interactions using Passive Sensor DataProceedings of the ACM on Human-Computer Interaction10.1145/36373348:CSCW1(1-27)Online publication date: 26-Apr-2024
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Ji KHettiachchi DSalim FScholer FSpina DHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Characterizing Information Seeking Processes with Multiple Physiological SignalsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657793(1006-1017)Online publication date: 10-Jul-2024
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Schmitz MSchön DKlagemann HKosch T(2024)3DA: Assessing 3D-Printed Electrodes for Measuring Electrodermal ActivityExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650938(1-7)Online publication date: 11-May-2024
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Chiossi FStepanova ETag BPerusquia-Hernandez MKitson ADey AMayer SEl Ali A(2024)PhysioCHI: Towards Best Practices for Integrating Physiological Signals in HCIExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3636286(1-7)Online publication date: 11-May-2024
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Elsharkawy AAtaya AYeo DAn EHwang SKim S(2024)SYNC-VR: Synchronizing Your Senses to Conquer Motion Sickness for Enriching In-Vehicle Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642941(1-17)Online publication date: 11-May-2024
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Kloft AWelsch RKosch TVilla S(2024)"AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AIProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642633(1-24)Online publication date: 11-May-2024
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Potts DBroad ZSehgal THartley JO'Neill EJicol CClarke CLutteroth C(2024)Sweating the Details: Emotion Recognition and the Influence of Physical Exertion in Virtual Reality ExergamingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642611(1-21)Online publication date: 11-May-2024
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