University of Lincoln
Browse

The face is central to primate multicomponent signals

Download (932.27 kB)
Version 4 2024-03-04, 10:39
Version 3 2023-10-29, 18:05
journal contribution
posted on 2024-03-04, 10:39 authored by Bridget M. Waller, Eithne Kavanagh, Jerome Micheletta, Peter ClarkPeter Clark, Jamie Whitehouse
<p>A wealth of experimental and observational evidence suggests that faces have become increasingly important in the communication system of primates over evolutionary time and that both the static and moveable aspects of faces convey considerable information. Therefore, whenever there is a visual component to any multicomponent signal the face is potentially relevant. However, the role of the face is not always considered in primate multicomponent communication research. We review the literature and make a case for greater focus on the face going forward. We propose that the face can be overlooked for two main reasons: first, due to methodological difficulty. Examination of multicomponent signals in primates is difficult, so scientists tend to examine a limited number of signals in combination. Detailed examination of the subtle and dynamic components of facial signals is particularly hard to achieve in studies of primates. Second, due to a common assumption that the face contains “emotional” content. A priori categorisation of facial behavior as “emotional” ignores the potentially communicative and predictive information present in the face that might contribute to signals. In short, we argue that the face is central to multicomponent signals (and also many multimodal signals) and suggest future directions for investigating this phenomenon.</p>

History

School affiliated with

  • School of Psychology (Research Outputs)

Publication Title

International Journal of Primatology

Publisher

Springer

ISSN

0164-0291

eISSN

1573-8604

Date Submitted

2023-02-10

Date Accepted

2021-09-29

Date of First Publication

2022-01-15

Date of Final Publication

2023-01-01

Date Document First Uploaded

2023-02-03

ePrints ID

53133

Usage metrics

    University of Lincoln (Research Outputs)

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC