Visual Fidelity Effects on Expressive Self-avatar in Virtual Reality: First Impressions Matter

Ma, Fang and Pan, Xueni. 2022. 'Visual Fidelity Effects on Expressive Self-avatar in Virtual Reality: First Impressions Matter'. In: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces. Christchurch, New Zealand 12 - 16 March 2022. [Conference or Workshop Item]

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Abstract or Description

Owning a virtual body inside Virtual Reality (VR) offers a unique experience where, typically, users are able to control their self- avatar’s body via tracked VR controllers. However, controlling a self-avatar’s facial movements is harder due to the HMD being in the way for tracking. In this work we present (1) the technical pipeline of creating and rigging self-alike avatars, whose facial expressions can be then controlled by users wearing the VIVE Pro Eye and VIVE Facial Tracker, and (2) based on this setting, two within-group studies on the psychological impact of the appearance realism of self- avatars, both the level of photorealism and self-likeness. Participants were told to practise their presentation, in front of a mirror, in the body of a realistic looking avatar and a cartoon like one, both animated with body and facial mocap data. In study 1 we made two bespoke self-alike avatars for each participant and we found that although participants found the cartoon-like character more attractive, they reported higher Body Ownership with whichever the avatar they had in the first trial. In study 2 we used generic avatars with higher fidelity facial animation, and found a similar “first trial effect” where they reported the avatar from their first trial being less creepy. Our results also suggested participants found the facial expressions easier to control with the cartoon-like character. Further, our eye-tracking data suggested that although participants were mainly facing their avatar during their presentation, their eye- gaze were focused elsewhere half of the time.

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):

https://doi.org/10.1109/VR51125.2022.00023

Additional Information:

“© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”

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Departments, Centres and Research Units:

Computing

Dates:

DateEvent
21 January 2022Accepted
20 April 2022Published

Event Location:

Christchurch, New Zealand

Date range:

12 - 16 March 2022

Item ID:

31676

Date Deposited:

04 Apr 2022 10:10

Last Modified:

24 May 2022 13:58

URI:

https://research.gold.ac.uk/id/eprint/31676

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