Is It Me or the Robot? A Critical Evaluation of Human Affective State Recognition in a Cognitive Task.
action units
affective states
cognitive load
human-robot interaction
social robots
Journal
Frontiers in neurorobotics
ISSN: 1662-5218
Titre abrégé: Front Neurorobot
Pays: Switzerland
ID NLM: 101477958
Informations de publication
Date de publication:
2022
2022
Historique:
received:
23
02
2022
accepted:
28
04
2022
entrez:
18
8
2022
pubmed:
19
8
2022
medline:
19
8
2022
Statut:
epublish
Résumé
A key goal in human-robot interaction (HRI) is to design scenarios between humanoid robots and humans such that the interaction is perceived as collaborative and natural, yet safe and comfortable for the human. Human skills like verbal and non-verbal communication are essential elements as humans tend to attribute social behaviors to robots. However, aspects like the uncanny valley and different technical affinity levels can impede the success of HRI scenarios, which has consequences on the establishment of long-term interaction qualities like trust and rapport. In the present study, we investigate the impact of a humanoid robot on human emotional responses during the performance of a cognitively demanding task. We set up three different conditions for the robot with increasing levels of social cue expressions in a between-group study design. For the analysis of emotions, we consider the eye gaze behavior, arousal-valence for affective states, and the detection of action units. Our analysis reveals that the participants display a high tendency toward positive emotions in presence of a robot with clear social skills compared to other conditions, where we show how emotions occur only at task onset. Our study also shows how different expression levels influence the analysis of the robots' role in HRI. Finally, we critically discuss the current trend of automatized emotion or affective state recognition in HRI and demonstrate issues that have direct consequences on the interpretation and, therefore, claims about human emotions in HRI studies.
Identifiants
pubmed: 35978569
doi: 10.3389/fnbot.2022.882483
pmc: PMC9377278
doi:
Types de publication
Journal Article
Langues
eng
Pagination
882483Informations de copyright
Copyright © 2022 Jirak, Aoki, Yanagi, Takamatsu, Bouet, Yamamura, Sandini and Rea.
Déclaration de conflit d'intérêts
MA, TYan, AT, SB, and TYam were employed by the Nissan Motor Corporation. The authors declare that this study received funding from NISSAN. The funder had the following involvement in the study: study design, collection, analysis, interpretation of data, the writing of this article and the decision to submit it for publication.
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