4.2 Article

Viewing heterospecific facial expressions: an eye-tracking study of human and monkey viewers

Journal

EXPERIMENTAL BRAIN RESEARCH
Volume 237, Issue 8, Pages 2045-2059

Publisher

SPRINGER
DOI: 10.1007/s00221-019-05574-3

Keywords

Facial expression; Gaze behaviour; Eye tracking; Rhesus macaques; Humans

Categories

Funding

  1. National Natural Science Foundation of China [91432102]
  2. Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning (China)

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Common facial expressions of emotion have distinctive patterns of facial muscle movements that are culturally similar among humans, and perceiving these expressions is associated with stereotypical gaze allocation at local facial regions that are characteristic for each expression, such as eyes in angry faces. It is, however, unclear to what extent this universality' view can be extended to process heterospecific facial expressions, and how social learning' process contributes to heterospecific expression perception. In this eye-tracking study, we examined face-viewing gaze allocation of human (including dog owners and non-dog owners) and monkey observers while exploring expressive human, chimpanzee, monkey and dog faces (positive, neutral and negative expressions in human and dog faces; neutral and negative expressions in chimpanzee and monkey faces). Human observers showed species- and experience-dependent expression categorization accuracy. Furthermore, both human and monkey observers demonstrated different face-viewing gaze distributions which were also species dependent. Specifically, humans predominately attended at human eyes but animal mouth when judging facial expressions. Monkeys' gaze distributions in exploring human and monkey faces were qualitatively different from exploring chimpanzee and dog faces. Interestingly, the gaze behaviour of both human and monkey observers were further affected by their prior experience of the viewed species. It seems that facial expression processing is species dependent, and social learning may play a significant role in discriminating even rudimentary types of heterospecific expressions.

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