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Facial cues for deception detection in virtual reality based communication
conference contribution
posted on 2019-08-22, 00:00 authored by Farah FariziFarah Farizi, Shaun BangayShaun Bangay, Sophie MckenzieSophie MckenzieDeception and deception detection is a part of human communication and needs to be accurately represented in computer mediated communication. In this study deception facial micro-expressions are translated from live human footage onto virtual reality based avatars in order to assess how well these cues can be represented and communicated in a virtual world. The results indicate that human observers are no better at detecting deception in this scenario than in previous experiments. Classification methods identify limitations in accurately representing the expression space. The experimental design does suggest strategies for using virtual reality for more accurately investigating deception practices for future studies.
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Event
Association for Computing Machinery. International Conference (3rd : 2019 : Melbourne, Vic.)Series
Association for Computing Machinery International ConferencePagination
65 - 69Publisher
Association for Computing MachineryLocation
Melbourne, Vic.Place of publication
New York, N.Y.Publisher DOI
Start date
2019-08-22End date
2019-08-24ISBN-13
9781450372466Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
[Unknown]Title of proceedings
BDIOT 2019: Proceedings of the 3rd International Conference on Big Data and Internet of ThingsUsage metrics
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