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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 Mckenzie
Deception 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.

History

Pagination

65-69

Location

Melbourne, Vic.

Start date

2019-08-22

End date

2019-08-24

ISBN-13

9781450372466

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

[Unknown]

Title of proceedings

BDIOT 2019: Proceedings of the 3rd International Conference on Big Data and Internet of Things

Event

Association for Computing Machinery. International Conference (3rd : 2019 : Melbourne, Vic.)

Publisher

Association for Computing Machinery

Place of publication

New York, N.Y.

Series

Association for Computing Machinery International Conference

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