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2021
- ISIDORE Id: 10670/1.fe3e24...
- hal: hal-03171138
- doi: 10.1007/s41347-020-00172-5
HALSHS : archive ouverte en Sciences de l’Homme et de la Société - notices sans texte intégral
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info:eu-repo/semantics/altIdentifier/doi/10.1007/s41347-020-00172-5
info:eu-repo/semantics/OpenAccess
Mots-clés
Avatar Emotion recognition Facial expressionSujets proches
Hours (Time) Facial expressions Face--Expression Human faceCiter ce document
Lisa Cerda et al., « Emotional Valence Recognition on Virtual, Robotic, and Human Faces: a Comparative Study », HALSHS : archive ouverte en Sciences de l’Homme et de la Société - notices sans texte intégral, ID : 10.1007/s41347-020-00172-5
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With the advent of new technologies in everyday life, leisure, or therapy, we will increasingly interact with a non-human virtual character. Understanding facial expressions and intentions of these virtual agents is important to enable them to achieve their goals. The objective of our study is to assess whether expressions are perceived as being positive or negative on faces more or less similar to those of humans. Eighty-three undergraduate students took part in a computerized emotion recognition task. The participants had to identify whether each face expressed a positive or a negative emotion. Eight different faces (human, avatar, mesh, and robot) were shown 38 times each on a computer screen. Each face was represented by a photo. Response time and the number of correct responses were recorded. Our research has raised important points: the accuracy and time taken for emotion recognition were found to be similar on human or avatar faces. On the other hand, as soon as these faces were too ambiguous or schematic, emotion recognition capacities were found to be diminished.
