TRRRACED – Towards Reproducible, Replicable and Reusable Affective Computing Experiments and Data

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.

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Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1109/coginfocom63007.2024.10894745
Citations
4
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
2.03
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article

TRRRACED – Towards Reproducible, Replicable and Reusable Affective Computing Experiments and Data

Florian Grensing, Maria Maleshkova, Paul Schreiber
4 citations
Mental Health Research Topics
2.03
article

TRRRACED – Towards Reproducible, Replicable and Reusable Affective Computing Experiments and Data

Florian Grensing, Maria Maleshkova, Paul Schreiber
article en
4 citations

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.

Helmut Schmidt University (DE)
Openalex Percentile: Top 12%
Mental Health Research Topics
2.03
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