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This project aims to simplify the creation of avatars for use in research, with a focus on self, identity, and facial recognition. Avatars, or digital selves, can be challenging to make and limited by software, and this is made worse when participants’ avatars look different from themselves in real life. The goal of this research is to figure out how to standardize the creation of avatars for use in research. Outcomes will be usable by any researchers interested in conducting VR research using human avatars. The intern, upon completion of the time abroad, will return to the home university and train researchers in the skills learned abroad, and ideally create a cross-country collaboration for the study of avatars that will continue to standardize and simplify the learning and research process.
Michael Chan-Reynolds
University of Kent
Sociology
Education
Trent University
Globalink Research Award
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