Multimodal signalling of attractiveness

Christina Krumpholz, Anthony Little, Katharina Riebel, Cliodhna Quigley, Romi Zäske

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

1 Citation (SciVal)

Abstract

A large literature on human facial attractiveness has adopted an evolutionary approach (Little et al., 2011). Much less research has examined cues in other modalities, such as smell (Groyecka et al., 2017) and audition (Zäske et al., 2020). Although these different modalities may interact significantly in human mate choice (Feinberg, 2008), it is not yet understood how humans integrate cues from different sensory modalities. In the literature on animal communication, the most prominent theories suggest that different modalities either signal different qualities of an individual (multiple messages hypothesis) or communicate the same information (back-up signal hypothesis; Moller & Pomiankowski, 1993). These theories tend to disregard the possible interaction of different sensory modalities, and the role of multisensory integration.
Original languageEnglish
Title of host publicationProceedings of the Annual Meeting of the Cognitive Science Society
PublishereScholarship University of California
Pages31-32
Number of pages2
Volume43
Publication statusPublished - 29 Jul 2021
Event43rd Annual Meeting of the Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021 - Virtual, Online, Austria
Duration: 26 Jul 202129 Jul 2021

Conference

Conference43rd Annual Meeting of the Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021
Country/TerritoryAustria
CityVirtual, Online
Period26/07/2129/07/21

Bibliographical note

Funding Information:
Funding information: Zäske: German Research Foundation (DFG) ZA745/1-2; Riebel: Human Frontier Science Program RGP0046/2016; Quigley: Vienna Science & Technology Fund (WWTF) CS18-021.

Keywords

  • animal behaviour
  • comparative aesthetics
  • courtship
  • empirical aesthetics
  • multisensory processing
  • person perception

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction

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