Horses can learn to identify joy and sadness against other basic emotions from human facial expressions

被引:0
|
作者
Jardat, Plotine [1 ]
Menard-Peroy, Zoe [1 ]
Parias, Celine [1 ]
Reigner, Fabrice [2 ]
Calandreau, Ludovic [1 ]
Lansade, Lea [1 ]
机构
[1] Univ Tours, CNRS, IFCE, INRAE,PRC, F-37380 Nouzilly, France
[2] UEPAO, INRAE, F-37380 Nouzilly, France
关键词
Automated device; Emotion; Equus caballus; Human-animal relationship; Social cognition; RECOGNITION; FACES; DOGS;
D O I
10.1016/j.beproc.2024.105081
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Recently, horses and other domestic mammals have been shown to perceive and react to human emotional signals, with most studies focusing on joy and anger. In this study, we tested whether horses can learn to identify human joyful and sad expressions against other emotions. We used a touchscreen-based automated device that presented pairs of human portraits and distributed pellets when the horse touched the rewarded face. Six horses were trained to touch the sad face and 5 the joyful face. By the end of training, horses' performances at the group level were significantly higher than chance level, with higher scores for horses trained with the sad face. At the individual level, evidence of task learning varied among horses, which could be explained by individual variations in horses' ability to identify different human facial expressions or attention issues during the tests. In a generalization test, we introduced portraits of different humans than those presented during training. Horses trained with the joyful face performed better than chance, demonstrating generalization. Conversely, horses trained with the sad face did not. Horses also showed differences in learning performance according to the nonrewarded emotion, providing insights into horses' cognitive processing of facial expressions.
引用
收藏
页数:8
相关论文
共 34 条
  • [1] Horses discriminate between human facial and vocal expressions of sadness and joy
    Jardat, Plotine
    Liehrmann, Oceane
    Reigner, Fabrice
    Parias, Celine
    Calandreau, Ludovic
    Lansade, Lea
    ANIMAL COGNITION, 2023, 26 (05) : 1733 - 1742
  • [2] Horses discriminate between human facial and vocal expressions of sadness and joy
    Plotine Jardat
    Océane Liehrmann
    Fabrice Reigner
    Céline Parias
    Ludovic Calandreau
    Léa Lansade
    Animal Cognition, 2023, 26 : 1733 - 1742
  • [3] Look, horses can recognise human facial expressions
    Sodhi, Nidhi
    AUSTRALIAN VETERINARY JOURNAL, 2018, 96 (06) : N2 - N2
  • [4] CONTEXT CAN DOMINATE FACIAL EXPRESSIONS OF BASIC EMOTIONS IN EMOTION PERCEPTION
    CARROLL, J
    RUSSELL, J
    CANADIAN PSYCHOLOGY-PSYCHOLOGIE CANADIENNE, 1994, 35 (2A): : 145 - 145
  • [5] Perception of Basic Emotions from Facial Expressions of Dynamic Virtual Avatars
    Faita, Claudia
    Vanni, Federico
    Lorenzini, Cristian
    Carrozzino, Marcello
    Tanca, Camilla
    Bergamasco, Massimo
    AUGMENTED AND VIRTUAL REALITY, AVR 2015, 2015, 9254 : 409 - 419
  • [6] Identifying Human Emotions from Facial Expressions with Deep Learning
    Babajee, Phavish
    Suddul, Geerish
    Armoogum, Sandhya
    Foogooa, Ravi
    2020 ZOOMING INNOVATION IN CONSUMER TECHNOLOGIES CONFERENCE (ZINC), 2020, : 36 - 39
  • [7] The recognition of emotions beyond facial expressions: Comparing emoticons specifically designed to convey basic emotions with other modes of expression
    Cherbonnier, Anthony
    Michinov, Nicolas
    COMPUTERS IN HUMAN BEHAVIOR, 2021, 118
  • [8] Blended Emotions can be Accurately Recognized from Dynamic Facial and Vocal Expressions
    Israelsson, Alexandra
    Seiger, Anja
    Laukka, Petri
    JOURNAL OF NONVERBAL BEHAVIOR, 2023, 47 (03) : 267 - 284
  • [9] Blended Emotions can be Accurately Recognized from Dynamic Facial and Vocal Expressions
    Alexandra Israelsson
    Anja Seiger
    Petri Laukka
    Journal of Nonverbal Behavior, 2023, 47 : 267 - 284
  • [10] Humans can identify cats' affective states from subtle facial expressions
    Dawson, L. C.
    Cheal, J.
    Niel, L.
    Mason, G.
    ANIMAL WELFARE, 2019, 28 (04) : 519 - 531