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Dergiler / Journal of AI / 2026 / Issue: 10

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

Hasan Tınmaz(Woosong University)0000-0003-4310-0848
Sayfa
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Yayın Tarihi
2026-02-27
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

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.

📌 3 Maddede Bu Makale

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Amaç & Hipotez: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.
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Temel Bulgular & Veri: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.
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Sonuç & Katkı: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.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Artificial Intelligence · Anthropomorphism · Virtual Agents

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.

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Bu Makaleye Atıf Yap

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

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Kaynakça (57)

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. Brown, E., & Cairns, P. (2004). A grounded investigation of game immersion. CHI EA ’04. https://doi.org/10.1145/985921.986048
  9. Calleja, G. (2011). In-Game: From Immersion to Incorporation. MIT Press. https://doi.org/10.7551/mitpress/8429.001.0001
  10. Chandra, K., Dewi, N., Nexio, H., & Yolanda, M. (2022). How chatbots’ social presence communication enhances consumer engagement, brand likability, and interaction satisfaction: The mediating role of initial chatbots’ trust. Russian Journal of Agricultural and Socio-Economic Sciences, 122(2), 14–23. https://doi.org/10.18551/rjoas.2022-02.02
  11. Chaturvedi, R., Verma, S., Das, R., & Dwivedi, Y. K. (2023). Social companionship with artificial intelligence: Recent trends and future avenues. Technological Forecasting and Social Change, 193, Article 122634. https://doi.org/10.1016/j.techfore.2023.122634
  12. Chen, C.-Y., & Zhuang, X.-Q. (2023). The image ratios for designing cute nonhuman anthropomorphic characters. Entertainment Computing, 47, Article 100586. https://doi.org/10.1016/j.entcom.2023.100586
  13. Chen, X., & Kang, J. (2025). Effects of natural sound tempo and social conditions on social interaction: An interactive virtual experiment. Journal of Environmental Psychology, 104, Article 102630. https://doi.org/10.1016/j.jenvp.2025.102630
  14. Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.
  15. Derda, I. (2025). Adaptive mechanisms of developing social connectedness in social VR environments. Journal of Virtual Worlds Research. https://doi.org/10.1080/24735132.2025.2506255
  16. Frommel, J., Phillips, C., & Mandryk, R. L. (2021). Gathering self-report data in games through NPC dialogues: Effects on data quality, data quantity, player experience, and information intimacy. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1–12). ACM. https://doi.org/10.1145/3411764.3445411
  17. Gambino, A., Fox, J., & Ratan, R. (2020). Building a stronger CASA: Extending the computers are social actors paradigm. Human-Machine Communication, 1, 71–86. https://doi.org/10.30658/hmc.1.5
  18. Ho, J. Q. H., Hu, M., Chen, T. X., & Hartanto, A. (2025). Potential and pitfalls of romantic artificial intelligence (AI) companions: A systematic review. Computers in Human Behavior Reports, 19, Article 100715. https://doi.org/10.1016/j.chbr.2025.100715
  19. Hu, D., Lan, Y., Yan, H., & Chen, C.-W. (2025). What makes you attached to social companion AI? A two-stage exploratory mixed-method study. International Journal of Information Management, 83, Article 102890. https://doi.org/10.1016/j.ijinfomgt.2025.102890
  20. Hwang, Y., & Lee, H. (2026). An exploratory study on the development of pre-service English teachers’ VR-contextualized testing prototype. Computers & Education: X Reality, 8, Article 100126. https://doi.org/10.1016/j.cexr.2025.100126
  21. Igaue, T., & Hayashi, R. (2023). Signatures of the uncanny valley effect in an artificial neural network. Computers in Human Behavior, 146, Article 107811. https://doi.org/10.1016/j.chb.2023.107811
  22. Jennett, C., Cox, A. L., Cairns, P., Dhoparee, S., Epps, A., Tijs, T., & Walton, A. (2008). Measuring and defining the experience of immersion in games. International Journal of Human-Computer Studies, 66(9), 641–661. https://doi.org/10.1016/j.ijhcs.2008.04.004
  23. Jiang, G., Yang, S., Wang, Y., & Hui, P. (2026). When trust collides: Exploring human–LLM cooperation intention through the prisoner’s dilemma. International Journal of Human–Computer Studies, 209, Article 103740. https://doi.org/10.1016/j.ijhcs.2026.103740
  24. Jiang, T., Sun, Z., Fu, S., & Lv, Y. (2024). Human–AI interaction research agenda: A user-centered perspective. Data and Information Management, 8(4), Article 100078. https://doi.org/10.1016/j.dim.2024.100078
  25. Klein, S. H. (2025). The effects of human-like social cues on social responses towards text-based conversational agents: A meta-analysis. Humanities and Social Sciences Communications, 12, Article 1322. https://doi.org/10.1057/s41599-025-05618-w
  26. Klimmt, C., Hefner, D., & Vorderer, P. (2009). The video game experience as “true” identification: A theory of enjoyable alterations of players’ self-perception. Communication Theory, 19(4), 351–373. https://doi.org/10.1111/j.1468-2885.2009.01347.x
  27. Lee, K. M. (2004). Presence, explicated. Communication Theory, 14(1), 27–50. https://doi.org/10.1111/j.1468-2885.2004.tb00302.x
  28. Lewis, M. L., Weber, R., & Bowman, N. D. (2008). “They may be pixels, but they’re MY pixels:” Developing a metric of character attachment in role-playing video games. CyberPsychology & Behavior, 11(4), 515–518. https://doi.org/10.1089/cpb.2007.0137
  29. Lolansen, C. (2025). A decade of avatars: A systematic review of video game avatar customization as a mechanism for supporting gender identity. Journal of Gender Studies. https://doi.org/10.1080/26895269.2025.2595471
  30. Lombard, M., & Ditton, T. (1997). At the heart of it all: The concept of presence. Journal of Computer-Mediated Communication, 3(2). https://doi.org/10.1111/j.1083-6101.1997.tb00072.x
  31. Markus, A., Carolus, A., & Wienrich, C. (2024). What does the perfect companion in games look like? Development and validation of the companion design scale. Journal of Games, Game Art, and Gamification, 9(1), 30–38. https://doi.org/10.21512/jggag.v9i1.11177
  32. Munnukka, J., Talvitie-Lamberg, K., & Maity, D. (2022). Anthropomorphism and social presence in human–virtual service assistant interactions: The role of dialog length and attitudes. Computers in Human Behavior, 135, Article 107343. https://doi.org/10.1016/j.chb.2022.107343
  33. Oh, C. S., Bailenson, J. N., & Welch, G. F. (2018). A systematic review of social presence: Definition, antecedents, and implications. Frontiers in Robotics and AI, 5, 114. https://doi.org/10.3389/frobt.2018.00114
  34. Paas, F., & Sweller, J. (2014). Implications of cognitive load theory for multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (2nd ed., pp. 27–42). Cambridge University Press. https://doi.org/10.1017/CBO9781139547369.004
  35. Paas, F., & van Merriënboer, J. J. G. (2020). Cognitive load theory: Methods to manage working memory load in the learning of complex tasks. Current Directions in Psychological Science, 29(4), 394–398. https://doi.org/10.1177/0963721420922183
  36. Paduraru, C., Paduraru, M. & Stefanescu, A. (2025). Enhancing game AI behaviors with large language models and agent-based AI (paper on LLM-orchestrated/agentic game AI). ACM Proceedings. https://doi.org/10.1145/3696630.3728553
  37. Pelau, C., Dabija, D. C., & Ene, I. (2021). What makes an AI device human-like? The role of interaction quality, empathy, and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry. Computers in Human Behavior, 122, Article 106855. https://doi.org/10.1016/j.chb.2021.106855
  38. Poinsot, K., Gorisse, G., Christmann, O., Fleury, S., & Richir, S. (2022). Effect of social actors’ perceived agency on social presence in computer-mediated communication. Advances in Human-Computer Interaction, 2022, Article 9632119. https://doi.org/10.1155/2022/9632119
  39. Potdevin, D., Sabouret, N., & Clavel, C. (2020). Intimacy perception: Does the artificial or human nature of the interlocutor matter? International Journal of Human-Computer Studies, 142, Article 102464. https://doi.org/10.1016/j.ijhcs.2020.102464
  40. Rahman, M. S., Srivastava, G., Bag, S., Tripathy, B. B., Oberoi, S. S., & Benabdellah, A. C. (2025). Investigating online gamers’ artificial intelligence-based emotional attachment-oriented anthropomorphic features and their impact on the online gaming experience. Journal of Global Information Management, 33(1), 1–24. https://doi.org/10.4018/JGIM.372081
  41. Reeves, B., & Nass, C. (1996). The media equation: How people treat computers, television, and new media like real people and places. Cambridge University Press.
  42. Sanchez-Vives, M. V., & Slater, M. (2005). From presence to consciousness through virtual reality. Nature Reviews Neuroscience, 6(4), 332–339. https://doi.org/10.1038/nrn1651
  43. Santos, G. M., Silva Julia, R. M., & Zanchetta do Nascimento, M. (2026). Personalizing financial literacy learning for children through GenAI and agentic design: A game-based experiment. Expert Systems with Applications, 309, Article 131149. https://doi.org/10.1016/j.eswa.2026.131149
  44. Skulmowski, A., & Xu, K. M. (2022). Understanding cognitive load in digital and online learning: A new perspective on extraneous cognitive load. Educational Psychology Review, 34(1), 171–196. https://doi.org/10.1007/s10648-021-09624-7
  45. Slater, M. (2009). Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments. Philosophical Transactions of the Royal Society B, 364(1535), 3549–3557. https://doi.org/10.1098/rstb.2009.0138
  46. Snodgrass, J. G., Sagstetter, S. I., Branstrator, J. R., Giardina, A., Lacy, M. G., Bollinger-Deters, A. T., Callendar, C. L., Zhao, K. X., Dengah II, H. J. F., & Billieux, J. (2025). Player-avatar bonds and gaming benefits and risks: Assessing self-discrepancy theory against a broader range of character and play experiences. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 19(3), Article 10. https://doi.org/10.5817/CP2025-3-10
  47. Son, G., & Rubo, M. (2025). I am here with you: An examination of factors relating to social presence in social VR. Frontiers in Virtual Reality. https://doi.org/10.3389/frvir.2025.1558233
  48. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
  49. Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer. https://doi.org/10.1007/978-1-4419-8126-4
  50. Szolin, K., Kuss, D. J., Nuyens, F. M., & Griffiths, M. D. (2025). The Proteus effect in Fallout: New Vegas: Investigating gender-conforming behaviours in videogames. Entertainment Computing, 52, Article 100765. https://doi.org/10.1016/j.entcom.2024.100765
  51. Van Zelderen, A. P. A., Wu, S., Koszo, G., & Menges, J. I. (2025). When AI gets personal: Employee emotional responses to anthropomorphic AI agents in a virtual workspace. Computers in Human Behavior: Artificial Humans, 5, Article 100189. https://doi.org/10.1016/j.chbah.2025.100189
  52. Weisman, W. D., & Peña, J. (2025). From robot to android to humanoid: Does self-referencing influence uncanny valley perceptions of mechanic or anthropomorphic face morphs? Computers in Human Behavior: Artificial Humans, 3, Article 100130. https://doi.org/10.1016/j.chbah.2025.100130
  53. Weiß, M., Krop, P., Treml, L., Neuser, E., Botsch, M., Herrmann, M. J., Latoschik, M. E., & Hein, G. (2025). The buffering of autonomic fear responses is moderated by the characteristics of a virtual character. Computers in Human Behavior, 168, Article 108657. https://doi.org/10.1016/j.chb.2025.100657
  54. Wienrich, C., & Latoschik, M. E. (2021). eXtended artificial intelligence: New prospects of human–AI interaction research. Frontiers in Virtual Reality, 2, Article 686783. https://doi.org/10.3389/frvir.2021.686783
  55. Wienrich, C., Carolus, A., Markus, A., Augustin, Y., Pfister, J., & Hotho, A. (2023). Long-term effects of perceived friendship with intelligent voice assistants on usage behavior, user experience, and social perceptions. Computers, 12(4), Article 77. https://doi.org/10.3390/computers12040077
  56. Woo, J., Shidara, K., Achard, C., Tanaka, H., Nakamura, S., & Pelachaud, C. (2024). Adaptive virtual agent: Design and evaluation for real-time human–agent interaction. International Journal of Human-Computer Studies, 190, Article 103321. https://doi.org/10.1016/j.ijhcs.2024.103321
  57. Yang, W., & Xie, Y. (2024). Can robots elicit empathy? The effects of social robots’ appearance on emotional contagion. Computers in Human Behavior: Artificial Humans, 2(1), Article 100049. https://doi.org/10.1016/j.chbah.2024.100049