Examining the Influence of AI Agent Anthropomorphism on Player Engagement: A Literature Review
Abstract
As artificial intelligence (AI) agents become increasingly embedded in digital games and entertainment systems, anthropomorphism (the attribution of human-like traits to artificial agents) has emerged as a key factor shaping player engagement and experience. Despite growing empirical interest, existing findings remain fragmented across domains and lack a coherent synthesis focused on gaming-specific interaction dynamics. This study presents a critical literature review that systematically examines prior empirical and conceptual research on anthropomorphic AI agents in gaming and entertainment contexts. Drawing on Computers Are Social Actors (CASA), Cognitive Load Theory (CLT), and self–AI connection frameworks, the review classifies and compares six core anthropomorphic traits (emotions, social cues, individuality, autonomy, user connection, and appearance) and analyzes how each trait contributes to player engagement, attachment, immersion, and cognitive load. The analysis identifies recurring patterns, trade-offs, and design tensions, showing that while anthropomorphic features can enhance realism, trust, and emotional involvement, excessive or poorly aligned traits may increase extraneous cognitive load or foster over-attachment. By consolidating dispersed findings and highlighting underexplored areas, this study provides a theory-informed synthesis that advances conceptual understanding of anthropomorphism in games and offers actionable design implications for developers, as well as clear directions for future empirical research.
Keywords
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Ethical Statement
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References
- Abeele, V. V., Spiel, K., Nacke, L., Johnson, D., & Gerling, K. (2020). Development and validation of the player experience inventory: A scale to measure player experiences at the level of functional and psychosocial consequences. International Journal of Human-Computer Studies, 135, Article 102370. https://doi.org/10.1016/j.ijhcs.2019.102370
- Alabed, A., Javornik, A., & Gregory-Smith, D. (2022). AI anthropomorphism and its effect on users’ self-congruence and self–AI integration: A theoretical framework and research agenda. Technological Forecasting and Social Change, 182, Article 121786. https://doi.org/10.1016/j.techfore.2022.121786
- Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020). I, chatbot: Modelling the determinants of users’ satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54, Article 101473. https://doi.org/10.1016/j.tele.2020.101473
- Aydın, A. M., Kılıç, H., & Güran, A. (2023). A player reputation system based on belief formation among non-player character societies in open-world role-playing games. Entertainment Computing, 46, Article 100565. https://doi.org/10.1016/j.entcom.2023.100565
- Banks, J., & Bowman, N. D. (2016). Emotion, anthropomorphism, realism, control: Validation of a merged metric for player–avatar interaction (PAX). Computers in Human Behavior, 54, 215–223. https://doi.org/10.1016/j.chb.2015.07.030
- Biocca, F., Harms, C., & Burgoon, J. K. (2003). Toward a more robust theory and measure of social presence: Review and suggested criteria. Presence: Teleoperators and Virtual Environments, 12(5), 456–480. https://doi.org/10.1162/105474603322761270
- Bouquet, E., Mäkelä, V., & Schmidt, A. (2021). Exploring the design of companions in video games. In Proceedings of the 24th International Academic Mindtrek Conference (pp. 145–153). ACM. https://doi.org/10.1145/3464327.3464371
- Brown, E., & Cairns, P. (2004). A grounded investigation of game immersion. CHI EA ’04. https://doi.org/10.1145/985921.986048
Details
Primary Language
English
Subjects
Graphics, Augmented Reality and Games (Other)
Journal Section
Review Article
Authors
Hasan Tınmaz
*
0000-0003-4310-0848
South Korea
Publication Date
February 27, 2026
Submission Date
January 4, 2026
Acceptance Date
February 25, 2026
Published in Issue
Year 2026 Number: 10