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  Making Trait Judgments based on Biological Motion Cues: A Thinslicing Approach

Chang, D.-S., Bülthoff, H., & de la Rosa, S. (2013). Making Trait Judgments based on Biological Motion Cues: A Thinslicing Approach. Poster presented at ACM Symposium on Applied Perception (SAP '13), Dublin, Ireland.

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Chang, D-S1, 2, Author           
Bülthoff, HH1, 2, Author           
de la Rosa, S1, 2, 3, Author           
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1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_2528702              

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 Abstract: We wanted to investigate whether judgments of personality traits based on brief visual observations, namely the 'thin slicing' approach, can also be replicated with biological motion cues consisting of point-light stimuli when different sorts of natural human actions were carried out. We captured six different actions carried out by ten different people using a motion capture system. These actions were then judged in terms of various personal traits by 18 different raters. All actors who recorded those actions were also included as raters. The results showed significant consistency in both the ratings across different raters (inter-rater-reliability) and the ratings between the items (inter-item-reliability). Moreover, accuracy of judgments was also found with self-ratings showing a significant correlation with other people's ratings for a number of different trait judgments.

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 Dates: 2013-08
 Publication Status: Issued
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 Identifiers: DOI: 10.1145/2492494.2501885
BibTex Citekey: ChangBd2013
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Title: ACM Symposium on Applied Perception (SAP '13)
Place of Event: Dublin, Ireland
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Title: ACM Symposium on Applied Perception (SAP '13)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 128 Identifier: ISBN: 978-1-4503-2262-1