Review Article

Examining the Influence of AI Agent Anthropomorphism on Player Engagement: A Literature Review

Number: 10 February 27, 2026

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

Supporting Institution

This research did not receive any outside funding or support. The author reports no involvement in the research by the sponsor that could have influenced the outcome of this work.

Ethical Statement

This article is based exclusively on previously published studies and does not contain any new studies with human participants or animals performed by the author. Accordingly, institutional review board (IRB) approval was not required.

Thanks

I would like to sincerely thank the İzmir Academy Association, publisher of the Journal of AI, for their professional, efficient, and timely editorial management throughout the publication process.

References

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Details

Primary Language

English

Subjects

Graphics, Augmented Reality and Games (Other)

Journal Section

Review Article

Publication Date

February 27, 2026

Submission Date

January 4, 2026

Acceptance Date

February 25, 2026

Published in Issue

Year 2026 Number: 10

APA
Tınmaz, H. (2026). Examining the Influence of AI Agent Anthropomorphism on Player Engagement: A Literature Review. Journal of AI, 10, 1-23. https://doi.org/10.61969/jai.1855786

Journal of AI
is indexed and abstracted by
WoS Research Commons, DOAJ, OpenAIRE, ERIHPLUS, Google Scholar, Harvard Hollis, Scilit, ROAD

Publisher
Izmir Academy Publishing
www.izmirakademi.org

Although the scope of our journal is related to artificial intelligence studies, the abbreviation "AI" in the name of the journal is derived from "Academy Izmir".