A Percepção dos Jogadores Sobre a Inteligência Artificial em Jogos Digitais: Um Estudo Exploratório com Final Fantasy XV

  • Gabriel Cavalcanti Alves UFC
  • Marcelo Martins da Silva UFC

Resumo


Introdução: A inteligência artificial (IA) desempenha um papel fundamental na construção de experiências imersivas em jogos digitais, permitindo interações mais dinâmicas e adaptativas. Apesar disso, ainda há escassez de estudos voltados à análise da percepção dos jogadores sobre a atuação dessas IAs. Objetivo: Investigar como a IA pode ser aprimorada em jogos digitais com base na análise das percepções e comportamentos dos jogadores, utilizando o jogo Final Fantasy XV como referência empírica. Metodologia: Foram realizadas entrevistas pré/pós-teste e sessões de jogatina, playtests, com 21 participantes em ambiente controlado. Resultados: Após a coleta e análise de dados, foi revelado que os jogadores anseiam por maior realismo dos NPCs e capacidade adaptativa da IA, mas criticam comportamentos previsíveis e, muitas vezes, repetitivos.

Palavras-chave: inteligência artificial, jogos digitais, experiência de jogador, final fantasy XV, personagem não-jogável

Referências

Abbas, B. (2024). Elevating realism: Cutting-edge ai npcs and environments transform gaming in ’virtualera.’.

Auxtero, A. L. S. (2023). Game environment design creator using artificial intelligence procedural generation.

Barella, A., Carrascosa, C., e Botti, V. (2007). Agent architectures for intelligent virtual environments. In 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT’07), pages 532–535.

Bjarnason, N. (2021). The ludo mix and the loss of in-game narrative: A case study of the final fantasy xv universe. Transactions of the Digital Games Research Association, 5(2).

Campos, João Pedro Assunção, b. (2019). Geração procedural de conteúdo utilizando inteligência artificial para experiências únicas de jogo com realidade virtual. pages 233–237. SBC, Universidade de Passo Fundo.

Carbone, J. N., Crowder, J., e Carbone, R. A. (2020). Radically simplifying game engines: Ai emotions game self-evolution. In 2020 International Conference on Computational Science and Computational Intelligence (CSCI), pages 464–472.

Cheah, I., Shimul, A. S., e Phau, I. (2022). Motivations of playing digital games: A review and research agenda. Psychology & Marketing, 39(5):937–950.

Colon, S. A. (2024). Simulating the spread of information among non-playable characters in video games.

Duan, Y. e Dong, C. (2023). Risks and countermeasures of artificial intelligence for college students’ growth. In 2023 2nd International Conference on Artificial Intelligence and Computer Information Technology (AICIT), pages 1–4.

Fachada, N., Barreiros, F. F., Lopes, P., e Fonseca, M. (2023). Active learning prototypes for teaching game ai. In 2023 IEEE Conference on Games (CoG), pages 1–4. IEEE.

Flavián, C., Ibáñez-Sánchez, S., e Orús, C. (2019). The impact of virtual, augmented and mixed reality technologies on the customer experience. Journal of Business Research, 100:547–560.

Gajadhar, B., De Kort, Y., e Ijsselsteijn, W. (2008). Influence of social setting on player experience of digital games. In CHI ’08 Extended Abstracts on Human Factors in Computing Systems, CHI EA ’08, pages 3099–3104, New York, NY, USA. Association for Computing Machinery.

Harika, J., Baleeshwar, P., Navya, K., e Shanmugasundaram, H. (2022). A review on artificial intelligence with deep human reasoning. In 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC), pages 81–84.

Imamura, N., Shirakami, Y., Namiki, K., Prasertvithyakarn, P., Yokoyama, T., e Miyake, Y. (2016). Final fantasy xv: pulse and traction of characters. In ACM SIGGRAPH 2016 Talks, SIGGRAPH ’16, New York, NY, USA. Association for Computing Machinery.

Isbister, K. e Schaffer, N. (2008). Chapter 20 - the four fun keys. In Isbister, K. e Schaffer, N., editors, Game Usability, pages 317–343. Morgan Kaufmann, Boston.

Jia, L. e Zhenjiang, M. (2007). Entertainment oriented intelligent virtual environment with agent and neural networks. In 2007 IEEE International Workshop on Haptic, Audio and Visual Environments and Games, pages 90–95.

Kedalo, A., Zykov, A., Aslam, H., e Mazzara, M. (2023). Comparing behaviour tree and hierarchical task network planning methods for their impact on player experience. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI), pages 135–139. IEEE.

Leonardou, A., Rigou, M., e Garofalakis, J. (2021). Primary school teachers’ attitudes towards digital educational games: Preliminary findings from the multiplication game evaluation. In 2021 12th International Conference on Information, Intelligence, Systems Applications (IISA), pages 1–8. IEEE.

Liu, J., Snodgrass, S., Khalifa, A., Risi, S., Yannakakis, G. N., e Togelius, J. (2020). Deep learning for procedural content generation. Neural Computing and Applications, 33(1):19–37.

Loomis, J. M., Blascovich, J. J., e Beall, A. C. (1999). Immersive virtual environment technology as a basic research tool in psychology. Behavior Research Methods, Instruments, amp; Computers, 31(4):557–564.

Ma, X. (2023). Application of artificial intelligence in computer network technology. In 2023 2nd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS), pages 182–186.

Mehta, A., Kunjadiya, Y., Kulkarni, A., e Nagar, M. (2022). Exploring the viability of conversational ai for non-playable characters: A comprehensive survey. In 2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST), pages 96–102.

Miyake, Y. (2020). Game ai general theory and its implementation in aaa digital game. Transactions of the Japanese Society for Artificial Intelligence, 35(2):B–J641 −−16.

Nacke, L. e Drachen, A. (2011). Towards a framework of player experience research. In Proceedings of the 2011 Foundations of Digital Games Conference, EPEX 11 Workshop.

Paraschos, P. e Koulouriotis, D. (2022). Game difficulty adaptation and experience personalization: A literature review. International Journal of Human-Computer Interaction, 39:1–22.

Prihatmanto, A. S., Prasetyanto, F., e Harsoyo, A. (2013). Strategy and behavior models of non-playable character using computational intelligence approach. In 2013 IEEE 3rd International Conference on System Engineering and Technology, pages 411–414.

Rienzo, A. e Cubillos, C. (2020). Playability and player experience in digital games for elderly: A systematic literature review. Sensors, 20(14).

Saengduenchay, E. e Thienmongkol, R. (2024). Game scrum: Reinventing the agile methodology through computer game dynamics. In 2024 5th International Conference on Information Technology and Education Technology (ITET), pages 24–28. IEEE.

Silva, G. e Ribeiro, M. S. (2021). Development of non-player character with believable behavior: a systematic literature review. In Anais Estendidos do XX Simpósio Brasileiro de Jogos e Entretenimento Digital, pages 319–323, Porto Alegre, RS, Brasil. SBC.

Taha, Z., Soewardi, H., e Dawal, S. Z. M. (2012). Color preference of the malay population in the design of a virtual environment. In 2012 18th International Conference on Virtual Systems and Multimedia, pages 545–548.

Tang, C., Wang, Z., Sima, X., e Zhang, L. (2020). Research on artificial intelligence algorithm and its application in games. In 2020 2nd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM), pages 386–389.

Wang, X., Niksirat, K. S., Silpasuwanchai, C., Wang, Z., Ren, X., e Niu, Z. (2016). How skill balancing impact the elderly player experience? In 2016 IEEE 13th International Conference on Signal Processing (ICSP), pages 983–988.

Wittmann, M. e Morschheuser, B. (2022). What do games teach us about designing effective human-ai cooperation?-a systematic literature review and thematic synthesis on design patterns of non-player characters. GamiFIN, pages 95–104.

Yannakakis, G. N. e Togelius, J. (2015). A panorama of artificial and computational intelligence in games. IEEE Transactions on Computational Intelligence and AI in Games, 7(4):317–335.

Zhu, C. e Guan, Y. (2022). The risks and countermeasures of accounting artificial intelligence. In 2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI), pages 358–361.
Publicado
30/09/2025
ALVES, Gabriel Cavalcanti; SILVA, Marcelo Martins da. A Percepção dos Jogadores Sobre a Inteligência Artificial em Jogos Digitais: Um Estudo Exploratório com Final Fantasy XV. In: SIMPÓSIO BRASILEIRO DE JOGOS E ENTRETENIMENTO DIGITAL (SBGAMES), 24. , 2025, Salvador/BA. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2025 . p. 2109-2120. DOI: https://doi.org/10.5753/sbgames.2025.10289.