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Revolutionising Game Design

Yıl 2025, Cilt: 20 Sayı: MX Yaratıcı Endüstriler Çalıştayı 2024: Yapay Zeka Çağında Yaratıcı Endüstriler Özel Sayısı, 89 - 113, 24.04.2025

Ali Geriş , Barış Çukurbaşı , Can Mıhcı , Çakır Aker , Hamdi Küçük , İsmail Ergen , Oğuz Şentürk , Rahmi Aydemir , Soner Kotan , Zeynep Taçgın , Abdullah Bal

Öz

This study explores the critical role of artificial intelligence (AI) in contemporary game design, focusing on its influence on user interface (UI), user experience (UX), and player experience (PX). AI technologies have the potential to revolutionise game environments by adapting to individual players' behaviours and preferences, significantly advancing beyond traditional game design paradigms. The evolution from static to adaptive gaming experiences underscores the growing importance of AI in game development, promising new dimensions of engagement and immersion. This paper examines the development and application of AI design components, such as machine learning algorithms, neural networks, and procedural content generation (PCG). It also critically analyses examples of AI integration in games, highlighting instances where AI significantly enhanced gaming experiences and those where it fell short. Additionally, the study underscores AI's transformative potential in crafting next-generation video games, enhancing the user interface and experience. Through an examination of current tools and technologies, critique of AI application in game development, and forecast of AI's future trajectory, this paper provides a comprehensive roadmap for game designers, developers, and players alike.

Anahtar Kelimeler

artificial intelligence game design user experience procedural content generation adaptive gaming.

Kaynakça

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  • Acovino, V., & Intagliata, C. (2024). “Games made by Soulless Machines”: Tech sparks debate over AI stories in Video Games. NPR. https://www.npr.org/2024/03/15/1238111971/video-games-ai-artificial-intelligence-nvidia
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  • Amresh, A., Cooke, N., & Fouse, A. (2023). A Minecraft based simulated task environment for human AI teaming. Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents. https://doi.org/10.1145/3570945.3607305
  • An, H., & Kim, J. (2023). Design of a hyper-casual futsal mobile game using a machine-learned ai agent-player. Applied Sciences, 13(4), 2071. https://doi.org/10.3390/app13042071
  • Alarcon, N. 2018. “DLSS: What Does It Mean for Game Developers?” NVIDIA Technical Blog. Retrieved from https://developer.nvidia.com/blog/dlss-what-does-it-mean-for-game-developers/
  • Heikkilä, M. 2023. “Making an image with generative AI uses as much energy as charging your phone”. MIT Technology Review. Retrieved from https://www.technologyreview.com/2023/12/01/1084189/making-an-image-with-generative-ai-uses-as-much-energy-as-charging-your-phone/
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  • Assembly, C. (2014). Alien: Isolation. Sega Corp.
  • Boluk, S., & Lemieux, P. (2017). Metagaming: Playing, competing, spectating, cheating, trading, making, and breaking video games. University of Minnesota Press. https://doi.org/10.5749/j.ctt1n2ttjx
  • Dai, S., Zhu, X., Li, N., Dai, T., & Wang, Z. (2024). Procedural level generation with diffusion models from a single example. Proceedings of the AAAI Conference on Artificial Intelligence, 38(9), 10021-10029. https://doi.org/10.1609/aaai.v38i9.28865
  • Delos Santos, J. R. N., & Cornillez, E. E. (2020). Mobile games and academic performance of university students. International Journal of Innovative Technology and Exploring Engineering, 9(4), 720-726 https://doi.org/10.35940/ijitee.A4788.029420
  • Desurvire, H., Caplan, M., & Toth, J. A. (2004, April). Using heuristics to evaluate the playability of games. In CHI'04 Extended Abstracts on Human Factors in Computing Systems (pp. 1509-1512). https://doi.org/10.1145/985921.986102
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Oyun Tasarımında Devrim

Yıl 2025, Cilt: 20 Sayı: MX Yaratıcı Endüstriler Çalıştayı 2024: Yapay Zeka Çağında Yaratıcı Endüstriler Özel Sayısı, 89 - 113, 24.04.2025

Ali Geriş , Barış Çukurbaşı , Can Mıhcı , Çakır Aker , Hamdi Küçük , İsmail Ergen , Oğuz Şentürk , Rahmi Aydemir , Soner Kotan , Zeynep Taçgın , Abdullah Bal

Öz

Bu çalışma, oyun tasarımında yapay zekanın (YZ) entegrasyonunun kullanıcı arayüzü (UI), kullanıcı deneyimi (UX) ve oyuncu deneyimi (PX) üzerindeki kritik rolünü incelemektedir. YZ teknolojilerinin, oyuncu davranışlarına ve tercihlerine uyum sağlayarak oyun ortamlarını devrim niteliğinde değiştirme potansiyeline sahip olduğu vurgulanmaktadır. Geleneksel oyun tasarım yaklaşımlarının ötesine geçerek, oyuncuya özel deneyimler sunan dinamik ve etkileşimli oyunlar oluşturulması hedeflenmektedir. Bu bağlamda, oyun içi yapay zeka bileşenlerinin geliştirilmesi ve uygulanması, oyun tasarımının temellerini yeniden şekillendirmektedir. Bu çalışma, YZ entegrasyonunun UI, UX ve PX üzerindeki etkilerini analiz ederek, oyun tasarımında yeni boyutlar kazandıran ve oyuncu etkileşimini artıran örnekleri ele almaktadır. Ayrıca, YZ'nin oyun geliştirme süreçlerindeki araç ve teknolojilerin etkinliğini değerlendirmekte ve gelecekteki eğilimleri öngörmektedir.

Anahtar Kelimeler

Yapay zeka oyun tasarımı kullanıcı deneyimi prosedürel içerik üretimi uyarlanabilir oyun.

Kaynakça

  • Abbas, M., Jam, F. A., & Khan, T. I. (2024). Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students. International Journal of Educational Technology in Higher Education, 21(1), 10. https://doi.org/10.1186/s41239-024-00444-7
  • Abu-Abed, F., & Zhironkin, S. (2023). New game artificial intelligence tools for virtual mine on Unreal Engine. Applied Sciences, 13(10), https://doi.org/10.3390/app13106339
  • Acovino, V., & Intagliata, C. (2024). “Games made by Soulless Machines”: Tech sparks debate over AI stories in Video Games. NPR. https://www.npr.org/2024/03/15/1238111971/video-games-ai-artificial-intelligence-nvidia
  • Aker, Ç., Rızvanoğlu, K., & Bostan, B. (2017). Methodological review of playability heuristics. Proc. Eurasia Graph. Istanb. Turk, 405.
  • Amresh, A., Cooke, N., & Fouse, A. (2023). A Minecraft based simulated task environment for human AI teaming. Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents. https://doi.org/10.1145/3570945.3607305
  • An, H., & Kim, J. (2023). Design of a hyper-casual futsal mobile game using a machine-learned ai agent-player. Applied Sciences, 13(4), 2071. https://doi.org/10.3390/app13042071
  • Alarcon, N. 2018. “DLSS: What Does It Mean for Game Developers?” NVIDIA Technical Blog. Retrieved from https://developer.nvidia.com/blog/dlss-what-does-it-mean-for-game-developers/
  • Heikkilä, M. 2023. “Making an image with generative AI uses as much energy as charging your phone”. MIT Technology Review. Retrieved from https://www.technologyreview.com/2023/12/01/1084189/making-an-image-with-generative-ai-uses-as-much-energy-as-charging-your-phone/
  • Appelcline, S. (2011). Designers & Dragons. Mongoose Publishing.
  • Bakkes, S., Tan, C. T., & Pisan, Y. (2012, July). Personalised gaming: A motivation and overview of literature. In Proceedings of the 8th Australasian Conference on Interactive Entertainment: Playing the System (pp. 1-10). https://doi.org/10.1145/2336727.2336731
  • Assembly, C. (2014). Alien: Isolation. Sega Corp.
  • Boluk, S., & Lemieux, P. (2017). Metagaming: Playing, competing, spectating, cheating, trading, making, and breaking video games. University of Minnesota Press. https://doi.org/10.5749/j.ctt1n2ttjx
  • Dai, S., Zhu, X., Li, N., Dai, T., & Wang, Z. (2024). Procedural level generation with diffusion models from a single example. Proceedings of the AAAI Conference on Artificial Intelligence, 38(9), 10021-10029. https://doi.org/10.1609/aaai.v38i9.28865
  • Delos Santos, J. R. N., & Cornillez, E. E. (2020). Mobile games and academic performance of university students. International Journal of Innovative Technology and Exploring Engineering, 9(4), 720-726 https://doi.org/10.35940/ijitee.A4788.029420
  • Desurvire, H., Caplan, M., & Toth, J. A. (2004, April). Using heuristics to evaluate the playability of games. In CHI'04 Extended Abstracts on Human Factors in Computing Systems (pp. 1509-1512). https://doi.org/10.1145/985921.986102
  • Di Cyan, E. (1965). Games people play—The psychology of human relationships. Archives of Internal
  • Medicine, 116(5), 795-796. https://doi.org/10.1001/archinte.1965.03870050149031
  • Dillon, R. (2011). The golden age of video games: the birth of a multi-billion dollar industry. Choice (Chicago, Ill.), 49(3), 49–1513. https://doi.org/10.5860/choice.49-1513
  • Dog, N. (1997). Crash Bandicoot 2: Cortex Strikes Back. Sony Interactive Entertainment.
  • Donkervliet, J., Ron, J., Li, J., Iancu, T., Abad, C., & Iosup, A. (2023). Servo: Increasing the scalability of modifiable virtual environments using serverless computing. 2023 IEEE 43rd International Conference on
  • Distributed Computing Systems (ICDCS), 829-840. https://doi.org/10.1109/ICDCS57875.2023.00075
  • Ermi, L., & Mäyrä, F. (2005, June). Fundamental components of the gameplay experience: Analysing immersion. In DiGRA Conference (pp. 7-8).
  • Federoff, M. A. (2002). Heuristics and usability guidelines for the creation and evaluation of fun in video games. Master of Science in the Department of Telecommunications of Indiana University.
  • Games, F. (2015). Soma. Frictional Games: Helsingborg.
  • Gunawan, L., Marlim, B., Sutrisno, N., Yulistiani, R., & Purnomo, F. (2022). Analyzing AI and the impact in video games. 2022 4th International Conference on Cybernetics and Intelligent System (ICORIS), 1-4. https://doi.org/10.1109/ICORIS56080.2022.10031590
  • Hamari, J., & Keronen, L. (2017). Why do people play games? A meta-analysis. International Journal of Information Management, 37(3), 125-141. https://doi.org/10.1016/j.ijinfomgt.2017.01.006
  • Hamari, J., Keronen, L., & Alha, K. (2015, January). Why do people play games? A review of studies on adoption and use. In 2015 48th Hawaii International Conference on System Sciences (pp. 3559-3568). IEEE. https://doi.org/10.1109/HICSS.2015.428
  • Henrik, Warpefelt., Christoph, Salge., Mirjam, Palosaari, Eladhari., Magy, Seif, El-Nasr., Jichen, Zhu. (2022).
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  • Korhonen, H., & Koivisto, E. M. (2006, September). Playability heuristics for mobile games. In Proceedings of the 8th conference on Human-computer interaction with mobile devices and services (pp. 9-16). https://doi.org/10.1145/1152215.1152218
  • Lan, Y. (2023). Development and Application of 3D Modeling in Game. Academic Journal of Science and Technology.
  • Levytskyi, V., Tsiutsiura, M., Yerukaiev, A., Rusan, N., & Li, T. (2023). The Working Principle of Artificial Intelligence in Video Games. 2023 IEEE International Conference on Smart Information Systems and Technologies (SIST), 246-250. https://doi.org/10.1109/SIST58284.2023.10223491
  • Li, Y., & Xu, D. (2016). A game AI based on ID3 algorithm. 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), 681-687. https://doi.org/10.54097/ajst.v7i2.11949
  • Liang, W., Yu, C., Whiteaker, B., Huh, I., Shao, H., & Liang, Y. (2023). Mastering Gomoku with AlphaZero: A study in advanced AI game strategy. Sage Science Review of Applied Machine Learning, 6(11), 32-43. Retrieved from https://journals.sagescience.org/index.php/ssraml/article/view/115
  • Lucas, S. M., Mateas, M., Preuss, M., Spronck, P., & Togelius, J. (2013). Artificial and computational intelligence in games (Vol. 6). Schloss Dagstuhl-Leibniz-Zentrum für Informatik. https://doi.org/10.4230/DagRep.2.5.43
  • Mahajan, A. (2023). What is Gen AI: Decoding the ultimate future of marketing creativity. Retrieved from https://trendvisionz.com/featured/what-is-gen-ai-decoding-future-marketing-creativity/
  • Mariselvam, J., Rajendran, S., & Alotaibi, Y. (2023). Reinforcement learning-based AI assistant and VR play therapy game for children with Down syndrome bound to wheelchairs. AIMS Mathematics, 8(7), 16989-17011.
  • Medlock, M. C. (2018). An overview of gur methods. Games User Research.
  • McFarland, A. (2024). Best of 10 Best AI Game Generators. Retrieved from https://www.unite.ai/best-ai-game-generators/
  • Melhart, D., Togelius, J., Mikkelsen, B., Holmgård, C., & Yannakakis, G. N. (2023). The ethics of AI in games. IEEE Transactions on Affective Computing, 15(1), 79-92. https://doi.org/10.1109/TAFFC.2023.3276425
  • Menapace, W., Siarohin, A., Lathuilière, S., Achlioptas, P., Golyanik, V., Ricci, E., & Tulyakov, S. (2023). Promptable game models: Text-guided game simulation via masked diffusion models. ACM Transactions on Graphics, 43(2), 1-16. https://doi.org/10.1145/3635705
  • Nelson, C. (2024). Field guide to Meta-Architecture. ACADIA 2022. Retrieved from https://papers.cumincad.org/data/works/att/acadia22_294.pdf
  • O’Neil, C. (2020). AI, ethics, and the law. In: Skidelsky, R., Craig, N. (eds) Work in the Future. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-21134-9_15
  • Patrick, Jagoda. (2023). Artificial intelligence in video games. American Literature, 95(2), 435-438, https://doi.org/10.1215/00029831-10575246
  • Patzer, B., Chaparro, B., & Keebler, J. R. (2020). Developing a model of video game play: Motivations, satisfactions, and continuance intentions. Simulation & Gaming, 51(3), 287-309. https://doi.org/10.1177/1046878120903352
  • Pfau, J., Smeddinck, J. D., & Malaka, R. (2018, October). Towards deep player behavior models in mmorpgs. In Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play (pp. 381-392). https://doi.org/10.1145/3242671.3242706
  • Phan, M. H., Keebler, J. R., & Chaparro, B. S. (2016). The development and validation of the game user experience satisfaction scale (GUESS). Human Factors, 58(8), 1217-1247. https://doi.org/10.1177/0018720816669646
  • Prakash, E., Brindle, G., Jones, K., Zhou, S., Chaudhari, N., & Wong, K. W. (2009). Advances in games technology: Software, models, and intelligence. Simulation & Gaming, 40, 752-801. https://doi.org/10.1177/10468781093351
  • Rath, T., & Preethi, N. (2021). Application of AI in video games to improve game building. 2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT), 821-824. https://doi.org/10.1109/CSNT51715.2021.9509685
  • Ratican, J., Hutson, J., & Wright, A. (2023). A proposed meta-reality immersive development pipeline: Generative AI models and extended reality (XR) content for the metaverse. Journal of Intelligent Learning Systems and Applications, 15, 24-35. https://doi.org/10.4236/jilsa.2023.151002
  • Ryan, R. M., Rigby, C. S., & Przybylski, A. (2006). The motivational pull of video games: A self-determination theory approach. Motivation and Emotion, 30, 344-360. https://doi.org/10.1007/s11031-006-9051-8 Sadler, D. (2023). AI startup 'magically' generating 3D images was actually using humans. Australian Computer Society. Retrieved from https://ia.acs.org.au/article/2023/ai-startup--magically--generating-3d-images-was-actually-using-humans.html
  • Schulze, E. (2019). 40% of A.I. start-ups in Europe have almost nothing to do with A.I., research finds. CNBC. Retrieved from https://www.cnbc.com/2019/03/06/40-percent-of-ai-start-ups-in-europe-not-related-to-ai-mmc report.html#:~:text=40%25%20of%20A.I.-,start%2Dups%20in%20Europe%20have%20almost%20nothing,do%20with%20A.I.%2C%20research%20finds&text=A%20new%20report%20from%20London,Europe’s%202%2C830%20AI%20start%2Dups
  • Singh, L. (2023). Top 10 Generative AI Applications Use Cases & Examples. Retrieved from https://redblink.com/generative-ai-applications-use-cases/
  • Spiel, K., & Gerling, K. (2021). The purpose of play: How HCI games research fails neurodivergent populations. ACM Transactions on Computer-Human Interaction (TOCHI), 28(2), 1-40. https://doi.org/10.1145/3432245
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  • Sun, M., Jiang, G., & Zhang, Y. (2024). Covariance matrix adaptation MAP-Elites for video game level generation. International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 1310533 (27 March 2024). https://doi.org/10.1117/12.3026544
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  • Tang, Y. M., & Ho, H. L. (2020). 3D modeling and computer graphics in virtual reality. In mixed reality and three-dimensional computer graphics. IntechOpen.
  • Taveekitworachai, P., Abdullah, F., Dewantoro, M. F., Thawonmas, R., Togelius, J., & Renz, J. (2024). The 1st ChatGPT4PCG Competition. IEEE Transactions on Games (pp. 1-17). IEEE. https://doi.org/10.1109/TG.2024.3376429
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  • Wegner. K, Seele. S, Buhler. H, Misztal. S, Herpers. R, Schild. J. (2017). Comparison of two inventory design concepts in a collaborative virtual reality serious game. CHI PLAY '17 Extended Abstracts: Extended Abstracts Publication of the Annual Symposium on Computer-Human Interaction in Play, 323-329. https://doi.org/10.1145/3130859.3131300
  • Westera, W., Prada, R., Mascarenhas, S., Santos, P. A., Dias, J., Guimarães, M., Georgiadis, K., Nyamsuren, E., Bahreini, K., Yumak, Z., Christyowidiasmoro, C., Dascalu, M., Gutu-Robu, G., & Ruseti, S. (2020). Artificial intelligence moving serious gaming: Presenting reusable game AI components. Education and Information Technologies, 25, 351-380. https://doi.org/10.1007/s10639-019-09968-2
  • Wilde, T. (2023). Myst creator defends its use of 'AI assisted content' in latest game (updated). PC Gamer. Retrieved from https://www.pcgamer.com/firmament-ai-generated-content/
  • Yannakakis, G. N., & Hallam, J. (2004). Evolving opponents for interesting interactive computer games. https://doi.org/10.7551/mitpress/3122.003.0062
  • Yannakakis, G. N., & Togelius, J. (2018). Artificial intelligence and games (Vol. 2): Springer. https://doi.org/10.1007/978-3-319-63519-4
  • Yannakakis, G. N., Spronck, P., Loiacono, D., & André, E. (2013). Player modeling. Retrieved from https://www.um.edu.mt/library/oar//handle/123456789/29725
  • Ye, D., Chen, G., Zhang, W., Chen, S., Yuan, B., Liu, B., Chen, J., Liu, Z., Qui, F., Yu, H., Yin, Y., Shi, B., Wang, L., Shi, T., Fu, Q., Yang, W., & Huang, L. (2020). Towards playing full MOBA games with deep reinforcement learning. Advances in Neural Information Processing Systems, 33, 621-632.
  • Yin-Poole, W. (2014, June 24). DICE ponders: What did people really like about Battlefield: Bad Company? Eurogamer.net. https://www.eurogamer.net/dice-ponders-what-did-people-really-like-about-battlefield-bad-company
  • Zhu, J., & Ontañón, S. (2020, September). Player-centered AI for automatic game personalization: Open problems. In Proceedings of the 15th International Conference on the Foundations of Digital Games (pp. 1-8).
  • Zolotarenko, J. (2024, January 31). Palworld under fire: AI controversy. Medium. https://hitberrygames.medium.com/palworld-ai-controversy-and-pok%C3%A9mon-plagiarism-accusations-8dad963c6fa6
Toplam 80 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Endüstriyel Ürün Tasarımı
Bölüm Makale Başvuru
Yazarlar

Ali Geriş 0000-0003-2136-5490

Barış Çukurbaşı 0000-0002-2856-2676

Can Mıhcı 0000-0001-9393-4619

Çakır Aker 0000-0002-0945-9251

Hamdi Küçük 0009-0003-0446-9578

İsmail Ergen 0000-0002-8847-7262

Oğuz Şentürk 0000-0002-5227-1350

Rahmi Aydemir 0009-0009-3771-7324

Soner Kotan 0000-0002-4139-3491

Zeynep Taçgın 0000-0001-7827-8238

Abdullah Bal 0000-0002-4525-8254

Erken Görünüm Tarihi 24 Nisan 2025
Yayımlanma Tarihi 24 Nisan 2025
Gönderilme Tarihi 11 Haziran 2024
Kabul Tarihi 10 Ekim 2024
Yayımlandığı Sayı Yıl 2025 Cilt: 20 Sayı: MX Yaratıcı Endüstriler Çalıştayı 2024: Yapay Zeka Çağında Yaratıcı Endüstriler Özel Sayısı

Kaynak Göster

APA Geriş, A., Çukurbaşı, B., Mıhcı, C., Aker, Ç., vd. (2025). Revolutionising Game Design. Öneri Dergisi, 20(MX Yaratıcı Endüstriler Çalıştayı 2024: Yapay Zeka Çağında Yaratıcı Endüstriler Özel Sayısı), 89-113. https://doi.org/10.14783/maruoneri.1499524

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