research-article

Understanding HCI Practices and Challenges of Experiment Reporting with Brain Signals: Towards Reproducibility and Reuse

Authors:

Merle Sagehorn,

Christopher Micek,

Erin T. SoloveyAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 29, Issue 4

Article No.: 31, Pages 1 - 43

https://doi.org/10.1145/3490554

Published: 31 March 2022 Publication History

Abstract

In human-computer interaction (HCI), there has been a push towards open science, but to date, this has not happened consistently for HCI research utilizing brain signals due to unclear guidelines to support reuse and reproduction. To understand existing practices in the field, this paper examines 110 publications, exploring domains, applications, modalities, mental states and processes, and more. This analysis reveals variance in how authors report experiments, which creates challenges to understand, reproduce, and build on that research. It then describes an overarching experiment model that provides a formal structure for reporting HCI research with brain signals, including definitions, terminology, categories, and examples for each aspect. Multiple distinct reporting styles were identified through factor analysis and tied to different types of research. The paper concludes with recommendations and discusses future challenges. This creates actionable items from the abstract model and empirical observations to make HCI research with brain signals more reproducible and reusable.

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Boonprakong NJi KYe ZTag BSpina DRuotsalo TSalim FKostakos VKay JHoang T(2024)Advancing Physiological Methods for Human-Information InteractionCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677567(976-979)Online publication date: 5-Oct-2024
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Index Terms

Understanding HCI Practices and Challenges of Experiment Reporting with Brain Signals: Towards Reproducibility and Reuse
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models

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cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 29, Issue 4

August 2022

469 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/3514186

Editor:
Kristina Höök
KTH Royal Institute of Technology, Sweden

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Publication History

Published: 31 March 2022

Accepted: 01 October 2021

Revised: 01 September 2021

Received: 01 August 2020

Published in TOCHI Volume 29, Issue 4

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Chiossi FGruenefeld UHou BNewn JOu CLiao RWelsch RMayer S(2024)Understanding the Impact of the Reality-Virtuality Continuum on Visual Search Using Fixation-Related Potentials and Eye Tracking FeaturesProceedings of the ACM on Human-Computer Interaction10.1145/36765288:MHCI(1-33)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676528
Boonprakong NJi KYe ZTag BSpina DRuotsalo TSalim FKostakos VKay JHoang T(2024)Advancing Physiological Methods for Human-Information InteractionCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677567(976-979)Online publication date: 5-Oct-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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