Many morphs:Parsing gesture signals from the noise

Mielke, Alexander, Badihi, Gal, Graham, Kirsty E. et al. (9 more authors) (2024) Many morphs:Parsing gesture signals from the noise. Behavior research methods. ISSN 1554-351X

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Mielke, Alexander
  • Badihi, Gal
  • Graham, Kirsty E. (kg960@york.ac.uk)
  • Grund, Charlotte
  • Hashimoto, Chie
  • Piel, Alex K.
  • Safryghin, Alexandra
  • Slocombe, Katie E. ORCID logo https://orcid.org/0000-0002-7310-1887
  • Stewart, Fiona
  • Wilke, Claudia (cw562@york.ac.uk)
  • Zuberbühler, Klaus
  • Hobaiter, Catherine
Copyright, Publisher and Additional Information:

Funding Information: AM was funded by a Leverhulme Early Career Fellowship. CH, GB, KEG, CG, and AS were supported by funding from the European Research Council under Gestural Origins Grant No: 802719. KS and CW were supported by funding from the European Research Council under Grant No: ERC_CoG 2016_724608. We thank all the staff of the Budongo Conservation Field Station, its founder Vernon Reynolds, and the Royal Zoological Society of Scotland who provide core funding. We thank the directors of the Kibale Chimpanzee Project for permission to use video data archives. We thank the Uganda Wildlife Authority, the National Forestry Authority, the President's Office, and the Uganda National Council for Science and Technology for providing research permits and permissions to conduct research in Budongo, Kalinzu, and Kanyawara. The Issa project (GMERC) is grateful for long-term support provided from the UCSD/Salk Center for Academic Research and Training in Anthropogeny (CARTA). We thank the Tanzanian Wildlife Research Institute (TAWIRI), Commission for Science and Technology (COSTECH), and Tanganyika District for permission to conduct research in the Issa Valley. Publisher Copyright: © The Author(s) 2024.

Keywords: Chimpanzees,Gesture,Latent class analysis,Morph,Repertoire
Dates:
  • Published (online): 4 March 2024
  • Accepted: 12 February 2024
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Psychology (York)
Depositing User: Pure (York)
Date Deposited: 13 Mar 2024 09:00
Last Modified: 17 Dec 2024 00:27
Published Version: https://doi.org/10.3758/s13428-024-02368-6
Status: Published online
Refereed: Yes
Identification Number: 10.3758/s13428-024-02368-6
Related URLs:
Open Archives Initiative ID (OAI ID):

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Filename: s13428-024-02368-6.pdf

Description: Many morphs: Parsing gesture signals from the noise

Licence: CC-BY 2.5

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