Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/180111
Title: My avatar makes me feel good? The effect of avatar personalisation and virtual agent interactions on self-esteem
Authors: Koek, Dominic Wei Jie
Chen, Vivian Hsueh Hua
Keywords: Social Sciences
Issue Date: 2024
Source: Koek, D. W. J. & Chen, V. H. H. (2024). My avatar makes me feel good? The effect of avatar personalisation and virtual agent interactions on self-esteem. Behaviour and Information Technology, 2349176-. https://dx.doi.org/10.1080/0144929X.2024.2349176
Project: MOE2017-T2-2-145 
Journal: Behaviour and Information Technology 
Abstract: The theory of Objective Self-Awareness (OSA) and related studies suggest that embodiment of personalised avatars may induce self-awareness and influence self-esteem. Additionally, the Computers Are Social Actors (CASA) paradigm suggests that humans may mindlessly respond to computers in ways that are similar to human interactions. Based on those assertions, it is plausible that virtual embodiment of a personalised avatar and interactions with a virtual agent can shift self-esteem. However, those effect on self-esteem have not been thoroughly examined in past studies. To address these research gaps, a 2 (avatar personalisation: personalised vs. non-personalised avatar) × 2 (virtual agent interaction valence: positive vs. negative) between-subjects experiment was conducted using a Virtual Reality (VR) simulation (N =171). Findings from the study showed that there was no effect of avatar personalisation and virtual agent interaction valence on state self-esteem change. However, the pairwise comparisons present some preliminary indications that avatar personalisation and positive interactions with a virtual agent may facilitate improvements in state self-esteem altogether. Implications of the study findings are discussed.
URI: https://hdl.handle.net/10356/180111
ISSN: 0144-929X
DOI: 10.1080/0144929X.2024.2349176
Schools: Wee Kim Wee School of Communication and Information 
Rights: © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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