We present CORAE, a novel web-based open-source tool for COntinuous Retrospective Affect Evaluation, designed to capture continuous affect data about interpersonal perceptions in dyadic interactions. Grounded in behavioral ecology perspectives of emotion, this approach replaces valence as the relevant rating dimension with approach and withdrawal, reflecting the degree to which behavior is perceived as increasing or decreasing social distance. We conducted a study to experimentally validate the efficacy of our platform with 24 participants.
The tool's effectiveness was tested in the context of dyadic negotiation, revealing insights about how interpersonal dynamics evolve over time. We find that the continuous affect rating method is consistent with individuals' perception of the overall interaction. This paper contributes to the growing body of research on affective computing and offers a valuable tool for researchers interested in investigating the temporal dynamics of affect and emotion in social interactions.
@INPROCEEDINGS{10388122,
author={Sack, Michael J. and Parreira, Maria Teresa and Fu, Jenny and Lipman, Asher and Javed, Hifza and Jamali, Nawid and Jung, Malte},
booktitle={2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII)},
title={CORAE: A Tool for Intuitive and Continuous Retrospective Evaluation of Interactions},
year={2023},
volume={},
number={},
pages={1-8},
keywords={Affective computing;Human factors;Machine learning;Social factors;Ecology;Behavioral sciences;Diseases;Affective computing;interpersonal perception;annotation tool;continuous affect;human-computer interaction},
doi={10.1109/ACII59096.2023.10388122}
}