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

Authors :
PUTZE, FELIX
PUTZE, SUSANNE
SAGEHORN, MERLE
MICEK, CHRISTOPHER
SOLOVEY, ERIN T.
Source :
ACM Transactions on Computer-Human Interaction (TOCHI); Jul2022, Vol. 29 Issue 4, p1-43, 43p
Publication Year :
2022

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10730516
Volume :
29
Issue :
4
Database :
Complementary Index
Journal :
ACM Transactions on Computer-Human Interaction (TOCHI)
Publication Type :
Academic Journal
Accession number :
156697829
Full Text :
https://doi.org/10.1145/3490554