Are you caught in the dilemma of metaverse avatars? The impact of individuals' congruity perceptions on paradoxical emotions and actual behaviors

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Decision Support Systems Pub Date : 2025-02-01 DOI:10.1016/j.dss.2024.114387
Xusen Cheng , Shuang Zhang , Jian Mou
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Abstract

As the foundation of the metaverse, three-dimensional avatars are increasingly shaping our personal and professional lives. However, a nuanced reading of avatar literature proposes that avatars can exhibit both positive and negative dimensions, leading to a paradoxical phenomenon. This study aims to conceptualize a holistic framework elucidating the intricate interplay between perceptions, emotions, and actual behaviors to substantiate the salience of paradoxical emotions. Employing a mixed-methods approach comprising think-aloud experiments and interviews (Phase 1), surveys (Phase 2), and follow-up interviews (Phase 3), the study endeavors to develop and validate a model grounded in a three-congruity perspective encompassing self, privacy, and function. Research findings underline that perceived control, social presence, and avatar perception heighten individuals' emotional attachment toward avatars, while social presence mitigates emotional paradoxes. Avatar privacy concern increases emotional paradox without affecting emotional attachment. Additionally, emotional attachment negatively correlates with actual metaverse resistance, whereas emotional paradox positively influences such resistance; conversely, emotional attachment positively correlates with actual metaverse avatar usage. This study extends the existing dual-congruity theory and provides practical implications for metaverse platforms to improve interactive experiences with avatars.
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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