We tested whether facial expressions in artworks can be reliably classified using six basic emotion categories. Participants viewed 116 cropped portraits, selecting the best-fitting emotion for each. Results show that about half of the images elicited consistent responses, aligning with basic emotional prototypes. The rest produced distributed judgments, indicating Multifaceted Emotions - layered or uncertain affective signals. The findings support the hypothesis that artists are capable of portraying both basic and complex emotional states, opening up the possibility for a new artwork-based emotion database to study nuanced emotional perception.

Thurtle, Z., Zavagno, D., Di Betta, A., Morgan, J., Daneyko, O. (2026). Caught on canvas: Facial expressions in art. I-PERCEPTION, 17(4), 1-5 [10.1177/20416695261468552].

Caught on canvas: Facial expressions in art

Zavagno, D
Secondo
;
2026

Abstract

We tested whether facial expressions in artworks can be reliably classified using six basic emotion categories. Participants viewed 116 cropped portraits, selecting the best-fitting emotion for each. Results show that about half of the images elicited consistent responses, aligning with basic emotional prototypes. The rest produced distributed judgments, indicating Multifaceted Emotions - layered or uncertain affective signals. The findings support the hypothesis that artists are capable of portraying both basic and complex emotional states, opening up the possibility for a new artwork-based emotion database to study nuanced emotional perception.
Articolo in rivista - Articolo scientifico
art; emotion; face perception; perception
English
12-ago-2026
2026
17
4
1
5
partially_open
Thurtle, Z., Zavagno, D., Di Betta, A., Morgan, J., Daneyko, O. (2026). Caught on canvas: Facial expressions in art. I-PERCEPTION, 17(4), 1-5 [10.1177/20416695261468552].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/621821
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