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  Recognizing your own motions on virtual avatars: is it me or not?

Wellerdiek, A., Leyrer, M., Volkova, E., Chang, D.-S., & Mohler, B. (2013). Recognizing your own motions on virtual avatars: is it me or not?. Poster presented at ACM Symposium on Applied Perception (SAP '13), Dublin, Ireland.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-5515-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-BE1F-3
Genre: Poster

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https://www.scss.tcd.ie/conferences/SAP2013/ (Any fulltext)
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 Creators:
Wellerdiek, AC1, 2, Author           
Leyrer, M1, 2, Author           
Volkova, E1, 2, Author           
Chang, D-S1, 2, Author           
Mohler, BJ1, 2, Author           
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: Most of the time point-light figures are used for motion-recognition, which present motions by only displaying the moving joints of the actor. In this study we were interested in whether self-recognition of motion changes with different representations. First, we captured participants' motions and remapped them on a point-light figure and a male and female virtual avatar. In the second part the same participants were asked to recognize their own motions on all three representations. We found that the recognition rate for own motions is high across all representations and different actions. The recognition rate was better on the point-light figure, despite being perceived as most difficult from the participants. The gender of the visual avatar did not matter in self-recognition.

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 Dates: 2013-08
 Publication Status: Issued
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 Identifiers: DOI: 10.1145/2492494.2501895
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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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Publ. Info: New York, NY, USA : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 138 Identifier: ISBN: 978-1-4503-2262-1