Removing the mask - do people over trust
avatars reconstructed from video?

Campion, SP; Landowska, A; Duckworth, T; Moore, C; Eachus, P; Roberts, DJ

Abstract

This experiment compared the detection of deceit across video
conferencing and a fixed viewpoint 3D video based computer graphic medium. The purpose was to determine if the process of 3D reconstruction influenced trust by reducing detail of facial expression. Comparison with the literature investigates the impact of facial expression on trust. Inspiration comes from
previous studies in the natural and virtual world that suggest a stronger tendency to over trust a person when their facial expression is hidden. A virtual avatar that copies head and eye movement but not that of the face, could be argued as akin
to a person wearing a mask. Thus, our opening research question is: Would a 3D medium that removed this mask result in a truth bias similar to video and therefore real world? Two confederates each gave a set of accounts of which half were true. These were captured and transmitted simultaneously in real time using 2D and full 3D video based communication mediums. Recordings of these
sessions were later examined by two sets of participants. Twenty-one participants were asked to determine which accounts were true. Measures included: accuracy at detecting truth and deceit, and from this tendency to over trust and lastly cognitive effort in determining truthfulness. Results show that participants
performed and worked to a similar degree in both mediums. Findings are of interest to those developing 3D telepresence technologies and virtual humans, and to those concerned with the trustworthiness of a medium.

• Presentation Conference Type: Other
• Conference Name: 14th EuroVR International Conference, EuroVR 2017
• Publication Date: Dec 7, 2017
• Deposit Date: Mar 15, 2018
• Publicly Available Date: Dec 7, 2018
• Series Title: Lecture Notes in Computer Science
• Book Title: Virtual Reality and Augmented Reality, 14th EuroVR International Conference, EuroVR 2017, Laval, France, December 12–14, 2017, Proceedings
• ISBN: 9783319723228
• DOI: https://doi.org/10.1007/978-3-319-72323-5_9
• Publisher URL: http://dx.doi.org/10.1007/978-3-319-72323-5_9
• Related Public URLs: http://dx.doi.org/10.1007/978-3-319-72323-5
• Additional Information: Event Type : Conference