TRRRACED – Towards Reproducible, Replicable and Reusable Affective Computing Experiments and Data
Publication date
2025-02-24
Document type
Conference paper
Organisational unit
Conference
15th IEEE International Conference on Cognitive Infocommunications 2024 (CogInfoCom 2024) ; Tokyo, Japan ; September 16-18, 2024
Publisher
IEEE
Book title
2024 IEEE 15th International Conference on Cognitive Infocommunications (CogInfoCom)
First page
147
Last page
154
Peer-reviewed
✅
Part of the university bibliography
✅
Language
English
Keyword
Affective computing
Physiological signals
Data management
Abstract
We present TRRRACED – a framework that aims to support Reproducible, Replicable and Reusable Affective Computing Experiments and Data. To the best of our knowledge, TRRRACED is the first framework aiming to provide standardised guidelines that facilitate structural unity of experiments and data in the domain of AC research. To this end, state-of-the-art studies considering physiological signals in relation to affective states were examined regarding (i) stimuli used, (ii) experimental setup and (iii) self-reports. Based on this analysis we employ reproducibility, replicability, and reusability as criteria to develop our framework. We propose a protocol for conducting experiments to enhance replicability, guidelines for annotating data, and a sample dataset.
Version
Published version
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