Conference on Cognitive Computational Neuroscience

San Francisco • August 25 - 28, 2022

P-1.56

Testing the Effect of Visual Depth on the Perception of Faces in an Online Study

Simon M. Hofmann, Max Planck Institute for Human Cognitive and Brain Sciences, Germany; Abhay Koushik, Université de Paris, France; Felix Klotzsche, Vadim Nikulin, Arno Villringer, Michael Gaebler, Max Planck Institute for Human Cognitive & Brain Sciences, Germany
Session:
Posters 1 Poster
Track:
Cognitive science
Location:
Pacific Ballroom H-O
Presentation Time:
Thu, 25 Aug, 19:30 - 21:30 Pacific Time (UTC -8)
Abstract:
Faces are socially relevant stimuli that can be distinguished by the spatial arrangements of their visual features. However, face perception has been mostly investigated with static 2D images, which differs from everyday life experience. In an online study, we investigate face perception in two viewing conditions (2D & 3D). We compare the cognitive face space for these conditions, by modeling the acquired human similarity ratings with similarity matrices computed from physical face attributes and feature maps of deep learning-based face recognition models. Lastly, we fit these models to the human similarity judgements to explore relevant facial features between the viewing conditions. Unveiling differences between 2D and 3D perception of faces will further our understanding on the role of stimulus presentation on face processing.
Manuscript:
View Manuscript
License:
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
DOI:
10.32470/CCN.2022.1254-0
Publication:
2022 Conference on Cognitive Computational Neuroscience
Presentation
Discussion
Resources
No resources available.
Session P-1
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