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Using Facial Animation to Increase the Enfacement Illusion and Avatar Self-Identification

Gonzalez-Franco, M; Steed, A; Hoogendyk, S; Ofek, E; (2020) Using Facial Animation to Increase the Enfacement Illusion and Avatar Self-Identification. IEEE Transactions on Visualization and Computer Graphics 10.1109/TVCG.2020.2973075. (In press). Green open access

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Abstract

Through avatar embodiment in Virtual Reality (VR) we can achieve the illusion that an avatar is substituting our body: the avatar moves as we move and we see it from a first person perspective. However, self-identification, the process of identifying a representation as being oneself, poses new challenges because a key determinant is that we see and have agency in our own face. Providing control over the face is hard with current HMD technologies because face tracking is either cumbersome or error prone. However, limited animation is easily achieved based on speaking. We investigate the level of avatar enfacement, that is believing that a picture of a face is one's own face, with three levels of facial animation: (i) one in which the facial expressions of the avatars are static, (ii) one in which we implement lip-sync motion and (iii) one in which the avatar presents lip-sync plus additional facial animations, with blinks, designed by a professional animator. We measure self-identification using a face morphing tool that morphs from the face of the participant to the face of a gender matched avatar. We find that self-identification on avatars can be increased through pre-baked animations even when these are not photorealistic nor look like the participant.

Type: Article
Title: Using Facial Animation to Increase the Enfacement Illusion and Avatar Self-Identification
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TVCG.2020.2973075
Publisher version: https://doi.org/10.1109/TVCG.2020.2973075
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: self-avatars, virtual reality, embodiment, face animation, enfacement
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10093933
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