A Systematic Review of AI-Driven Game Design and User Experience Research

  • Qiwen Lao Faculty of Innovation and Design, City University of Macau, Macau
Keywords: artificial intelligence, game design, user experience, dynamic adjustment, personalization

Abstract

In recent years, artificial intelligence (AI) has been increasingly integrated into game design, driving innovation that extend from development efficiency to user experience. This study systematically reviewed the research on user experience in AI-driven game design published between 2020 to April 2025, analyzing 74 studies retrieved ACM Digital Library, IEEE Xplore and Web of Science. Findings indicate that AI has been incorporated into all stages of game design, enabling collaborative development and facilitating personalized content adaptation and real-time player interaction through dynamic difficulty adjustment, affective computing, and generative technologies. The integration of multimodal technologies further enhances immersion and engagement. In cross-domain applications, AI-driven serious games demonstrate strong potential in fileds such as education and healthcare. Nevertheless, challenges remain in terms of technology integration complexity and insufficient interdisciplinary validation. Future research should establish standardized evaluation frameworks to advance game design from entertainment-focused application toward broader social demands including education and health care.

References

Alvarez, A., Grevillius, E., Olsson, E., & Font, J. (2021). Questgram [qg]: Toward a mixed-initiative quest generation tool. In The 16th International Conference on the Foundations of Digital Games (FDG) 2021 (pp. 1–10). Association for Computing Machinery. https://doi.org/10.1145/3472538.3472544
Ana, A. A., Pratama, V., Sukoco, A., Prihatmanto, A. S., Nurmalasari, R. R., & Juhana, A. (2023). ML-agents in kart racing game using microgame. In 2023 17th International Conference on Telecommunication Systems, Services, and Applications (TSSA) (pp. 1–6). IEEE. https://doi.org/10.1109/TSSA59948.2023.10367043
Barmpakas, A., & Xinogalos, S. (2023). Designing and evaluating a serious game for learning artificial intelligence algorithms: SpAI war as a case study. Applied Sciences, 13(10), 5828. https://doi.org/10.3390/app13105828
Barthet, M., Khalifa, A., Liapis, A., & Yannakakis, G. (2022). Generative personas that behave and experience like humans. In Proceedings of the 17th International Conference on the Foundations of Digital Games (pp. 1–10). Association for Computing Machinery. https://doi.org/10.1145/3555858.3555879
Berthault, A., Kato, T., & Shirai, A. (2023). Avatar fusion karaoke: Research and development on multi-user music play VR experience in the metaverse. In 2023 IEEE International Conference on Metaverse Computing, Networking and Applications (Metacom) (pp. 281–289). IEEE. https://doi.org/10.1109/MetaCom57706.2023.00058
Carbone, J. N., Crowder, J., & Carbone, R. A. (2020). Radically simplifying game engines: AI emotions & game self-evolution. In 2020 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 464–472). IEEE. https://doi.org/10.1109/CSCI51800.2020.00085
Charity, M., Dave, I., Khalifa, A., & Togelius, J. (2024). Baba is Y’all 2.0: Design and investigation of a collaborative mixed-initiative system. IEEE Transactions on Games, 16(1), 75–89. https://doi.org/10.1109/TG.2022.3223527
Chen, X., Gao, W., Chu, Y., & Song, Y. (2024). Enhancing interaction in virtual-real architectural environments: A comparative analysis of generative AI-driven reality approaches. Building and Environment, 266, 112113. https://doi.org/10.1016/j.buildenv.2024.112113
Cui, G., Shen, R., Chen, Y., Zou, J., Yang, S., Fan, C., & Zheng, J. (2020). Reinforced evolutionary algorithms for game difficulty control. In 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence (pp. 1–7). Association for Computing Machinery. https://doi.org/10.1145/3446132.3446165
Dai, K., Wang, X., Dai, D., & Zhang, R. (2020). Injecting affective computing into online virtual training through FPS games. In 2020 IEEE International Conference on Progress in Informatics and Computing (PIC) (pp. 236–242). IEEE. https://doi.org/10.1109/PIC50277.2020.9350814
Delgado, J., West, R., Barmpoutis, A., Jang, S. H., Stanley, E., & Kang, H. (2024). Enhancing museum experience with VR by situating 3D collections in contex. In Proceedings of the 23rd Annual ACM Interaction Design and Children Conference (pp. 670–675). Association for Computing Machinery. https://doi.org/10.1145/3628516.3659372
Denisova, A., Cairns, P., Guckelsberger, C., & Zendle, D. (2020). Measuring perceived challenge in digital games: Development & validation of the challenge originating from recent gameplay interaction scale (CORGIS). International Journal of Human-Computer Studies, 137, 102383. https://doi.org/10.1016/j.ijhcs.2019.102383
Frutos-Pascual, M., & Zapirain, B. G. (2017). Review of the use of AI techniques in serious games: Decision making and machine learning. IEEE Transactions on Computational Intelligence and AI in Games, 9(2), 133–152. https://doi.org/10.1109/TCIAIG.2015.2512592
Ganiti-Roumeliotou, E., Ziogas, I., Dias, S. B., Alhussein, G., Jelinek, H. F., & Hadjileontiadis, L. J. (2024). Beyond the game: Multimodal emotion recognition before, during, and after gameplay. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1–7). IEEE. https://doi.org/10.1109/EMBC53108.2024.10782547
Gao, F., Fang, K., & Chan, W. K. (Victor). (2024). Humanizing artifacts: An educational game for cultural heritage artifacts and history using generative AI. In Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play (pp. 91–96). Association for Computing Machinery. https://doi.org/10.1145/3665463.3678792
Guha, S., Steinhardt, S., Ahmed, S. I., & Lagoze, C. (2013). Following bibliometric footprints: The ACM digital library and the evolution of computer science. In Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 139–142). Association for Computing Machinery. https://doi.org/10.1145/2467696.2467732
Gupta, S., Nancy, N., Saw, P. K., Raj, A., Kumar, A., & Agrawal, K. (2024). Developing game AI for classic games using reinforcement learning. In 2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST) (pp. 1–7). IEEE. https://doi.org/10.1109/GIEST62955.2024.10960023
Hangzhou Asian Games Organising Committee. (2022, March 30). Announcement of esports events for Hangzhou Asian Games [Press release]. https://www.hangzhou2022.cn/sssg/ssxm/202203/t20220330_46418.shtml
Hany, N., Sherif, R., Emad, K., Emad, A., Elsayed, M., & Abdelrahman, H. (2024). Nexia tutor: An AI-powered language personalized learning system for kids with dyslexia and reading challenges. In 2024 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) (pp. 98–103). IEEE. https://doi.org/10.1109/MIUCC62295.2024.10783640
Hassan, S. Z., Salehi, P., Røed, R. K., Halvorsen, P., Baugerud, G. A., Johnson, M. S., Lison, P., Riegler, M., Lamb, M. E., Griwodz, C., & Sabet, S. S. (2022). Towards an AI-driven talking avatar in virtual reality for investigative interviews of children. In Proceedings of the 2nd Workshop on Games Systems (pp. 9–15). Association for Computing Machinery. https://doi.org/10.1145/3534085.3534340
Hong, Y., & Ge, Y. (2022). Design and analysis of clothing catwalks taking into account unity’s immersive virtual reality in an artificial intelligence environment. Computational Intelligence and Neuroscience, 2022, 1–12. https://doi.org/10.1155/2022/2861767
Huynh, V.-T., Nguyen, T. V., & Tran, M.-T. (2023). Sketch2Reality: Immersive 3D indoor scene synthesis via sketches. In Proceedings of the 12th International Symposium on Information and Communication Technology (pp. 863–869). Association for Computing Machinery. https://doi.org/10.1145/3628797.3628991
International Olympic Committee. (n.d.). Olympic Esports Games. Retrieved August 14, 2025, from https://www.olympics.com/ioc/olympic-esports-games
Kawai, Y. (2024). Using generative AI for game development subject to technical constraints. In 2024 International Conference on Cyberworlds (CW) (pp. 376–377). IEEE. https://doi.org/10.1109/CW64301.2024.00081
Kim, M., Lee, K., Balan, R., & Lee, Y. (2023). Bubbleu: Exploring augmented reality game design with uncertain AI-based interaction. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1–18). Association for Computing Machinery. https://doi.org/10.1145/3544548.3581270
Lankes, M., & Stöckl, A. (2023). Game reviews reviewed: A game designer’s perspective on AI-generated game review analyses. In 2023 IEEE Conference on Games (CoG) (pp. 1–8). IEEE. https://doi.org/10.1109/CoG57401.2023.10333238
Li, H.-H., Lian, J.-J., & Liao, Y.-H. (2023). Design an adaptive virtual reality game to promote elderly health. In 2023 International Conference on Computer, Information and Telecommunication Systems (CITS) (pp. 1–7). IEEE. https://doi.org/10.1109/CITS58301.2023.10188784
Liu, H., Choi, M., Kao, D., & Mousas, C. (2023). Synthesizing game levels for collaborative gameplay in a shared virtual environment. ACM Transactions on Interactive Intelligent Systems, 13(1), 1–36. https://doi.org/10.1145/3558773
Liu, X., Lau, N., Chuin, A., Leung, W. K. R., Ho, A. H. S., Das, M., Liu, M., & Kwok, C. L. (2023). Understanding students’ perspectives, practices, and challenges of designing with AI in special schools. In Proceedings of the Eleventh International Symposium of Chinese CHI (pp. 197–209). Association for Computing Machinery. https://doi.org/10.1145/3629606.3629625
Lulle, K., Agrawal, P., Amrutwar, M., & Khiani, S. (2024). An AI-powered application to enhance cognitive health and provide caregiver support for dementia patients. In 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS) (pp. 93–98). IEEE. https://doi.org/10.1109/ICUIS64676.2024.10866122
Mieschke, P., & Radicke, S. (2023). Adaptive LLM-based game radio (ALGR). In 2023 4th International Conference on Computers and Artificial Intelligence Technology (CAIT) (pp. 277–283). IEEE. https://doi.org/10.1109/CAIT59945.2023.10469093
Moon, J., Choi, Y., Park, T., Choi, J., Hong, J.-H., & Kim, K.-J. (2022). Diversifying dynamic difficulty adjustment agent by integrating player state models into monte-carlo tree search. Expert Systems with Applications, 205, 117677. https://doi.org/10.1016/j.eswa.2022.117677
Prithul, A., Lynam, H., & Folmer, E. (2024). Performance and navigation behavior of using teleportation in VR first-person shooter games. Games: Research and Practice, 2(3), 1–18. https://doi.org/10.1145/3661133
Rathnayake, A. I., Kumari Ganegala, I., Samarasinghe, I. S., Bandara Weerasekara, S., Gamage, A. I., & Thilakarathna, T. (2020). Adjusting the hard level on game by a prediction for improving attraction and business value. In 2020 20th International Conference on Advances in ICT for Emerging Regions (Icter) (pp. 310–311). IEEE. https://doi.org/10.1109/ICTer51097.2020.9325474
Raut, U., Galchhaniya, P., Nehete, A., Shinde, R., & Bhoite, A. (2024). Unity ML-agents: Revolutionizing gaming through reinforcement learning. In 2024 2nd World Conference on Communication & Computing (WCONF) (pp. 1–7). IEEE. https://doi.org/10.1109/WCONF61366.2024.10692314
Reis, S., Novais, R., Reis, L. P., & Lau, N. (2023). Automatic difficulty balance in two-player games with deep reinforcement learning. In 2023 IEEE Conference on Games (CoG) (pp. 1–8). IEEE. https://doi.org/10.1109/CoG57401.2023.10333240
Reyes, J., Batmaz, A. U., & Kersten-Oertel, M. (2025). Trusting AI: Does uncertainty visualization affect decision-making? Frontiers in Computer Science, 7, 1464348. https://doi.org/10.3389/fcomp.2025.1464348
Rodríguez-Rivera, P., Rodríguez-Ferrer, J. M., & Manzano-León, A. (2025). Designing digital escape rooms with generative AI in university contexts: A qualitative study. Multimodal Technologies and Interaction, 9(3), 20. https://doi.org/10.3390/mti9030020
Shacklett, B., Rosenzweig, L. G., Xie, Z., Sarkar, B., Szot, A., Wijmans, E., Koltun, V., Batra, D., & Fatahalian, K. (2023). An extensible, data-oriented architecture for high-performance, many-world simulation. ACM Transactions on Graphics, 42(4), 1–13. https://doi.org/10.1145/3592427
Sidji, M., Smith, W., & Rogerson, M. J. (2024). Human-AI collaboration in cooperative games: A study of playing codenames with an LLM assistant. Proceedings of the ACM on Human-Computer Interaction, 8(CHI PLAY), 1–25. https://doi.org/10.1145/3677081
Singh, J., Islam, S. M. N., Tewatia, M., Garg, D., & Fatima, N. (2024). Systematic review of GAN for enhancing efficiency in AI in gaming. In 2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET) (pp. 1–8). IEEE. https://doi.org/10.1109/ACROSET62108.2024.10743943
Su, J., & He, Z. (2024). Enhancing user experience evaluation of graphic art style games through collaboration with generative AI. In Proceeding of the 2024 5th International Conference on Computer Science and Management Technology (pp. 31–38). Association for Computing Machinery. https://doi.org/10.1145/3708036.3708042
T, R. D., & Thomas, J. (2024). Evaluation of virtual reality experiential dimensions using sentiment analysis. In 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) (pp. 1–6). IEEE. https://doi.org/10.1109/IITCEE59897.2024.10467439
Tselepatiotis, M., & Alepis, E. (2024). Adaptive learning in mobile serious games: A personalized approach using AI for general knowledge quizzes. In 2024 15th International Conference on Information, Intelligence, Systems & Applications (IISA) (pp. 1–8). IEEE. https://doi.org/10.1109/IISA62523.2024.10786681
Vijaya, J., Jangir, V., Sharma, H., Srivastava, D., & Jaswani, N. (2024). AI-based flappy bird game with dynamic level generation. In 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) (pp. 1–6). IEEE. https://doi.org/10.1109/IATMSI60426.2024.10503355
Villareale, J., Maram, S. S., Seif El-Nasr, M., & Zhu, J. (2023). Integrating players’ perspectives in AI-based games: Case studies of player-AI interaction design. In Proceedings of the 18th International Conference on the Foundations of Digital Games (pp. 1–9). Association for Computing Machinery. https://doi.org/10.1145/3582437.3582451
Wang, Y., Dai, Y., Chen, S., Wang, L., & Hoorn, J. F. (2023). Multiplayer online battle arena (MOBA) games: Improving negative atmosphere with social robots and AI teammates. Systems, 11(8), 425. https://doi.org/10.3390/systems11080425
Woodward, K., Kanjo, E., & Parker, W. (2021). Towards the use of IoT and AI for pervasive exergames. In 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (Gcaiot) (pp. 1–6). IEEE. https://doi.org/10.1109/GCAIoT53516.2021.9692952
Xu, Z., Song, T., & Lee, Y.-C. (2025). Confronting verbalized uncertainty: Understanding how LLM’s verbalized uncertainty influences users in AI-assisted decision-making. International Journal of Human-Computer Studies, 197, 103455. https://doi.org/10.1016/j.ijhcs.2025.103455
Yang, D., Kleinman, E., & Harteveld, C. (2025). GPT for games: An updated scoping review (2020-2024). IEEE Transactions on Games, 1–16. https://doi.org/10.1109/TG.2025.3563780
Ye, H., You, R., Lou, K., Wen, Y., Yi, X., & Tong, X. (2023). PetGen: Design and generation of virtual pets. In 2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) (pp. 343–346). IEEE. https://doi.org/10.1109/ICMEW59549.2023.00065
Zammit, M., Voulgari, I., Liapis, A., & Yannakakis, G. N. (2022). Learn to machine learn via games in the classroom. Frontiers in Education, 7, 913530. https://doi.org/10.3389/feduc.2022.913530
Zhao, Y., Cheng, Y., Ding, S., Fang, Y., Cao, W., Liu, K., & Cao, J. (2024). Magic camera: An AI drawing game supporting instantaneous story creation for children. In Proceedings of the 23rd Annual ACM Interaction Design and Children Conference (pp. 738–743). Association for Computing Machinery. https://doi.org/10.1145/3628516.3659386
Zhu, J., & Ontañón, S. (2020). Player-centered AI for automatic game personalization: Open problems. In International Conference on the Foundations of Digital Games (pp. 1–8). Association for Computing Machinery. https://doi.org/10.1145/3402942.3402951
Overall trends of each category
Published
2025-08-29
How to Cite
Lao, Q. (2025, August 29). A Systematic Review of AI-Driven Game Design and User Experience Research. Humanities and Social Science Research, 8(4), p229. https://doi.org/https://doi.org/10.30560/hssr.v8n4p229
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Articles