TIM-6072 v1

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: The Official Journal of the IFIP Technical Committee on Education, 25(1), 351–380. https://doi.org/10.1007/s10639-019-09968-2

This paper includes an overview of AI applications in gaming, focusing on reusable AI components that enhance game development efficiency and effectiveness. The authors present advanced AI functionalities, including real-time facial emotion recognition, automated difficulty adaptation, sentiment analysis, and intelligent non-playing characters. These components are designed to be integrated across game engines and platforms, reducing development costs and improving accessibility. The study highlights the importance of open-source AI tools in fostering innovation and collaboration within the serious gaming industry.

Yin, Q.-Y., Yang, J., Huang, K.-Q., Zhao, M.-J., Ni, W.-C., Liang, B., Huang, Y., Wu, S., & Wang, L. (2023). AI in Human-computer Gaming: Techniques, Challenges and Opportunities. Machine Intelligence Research, 20(3), 299–317.

This paper explores the evolution of AI in human-computer gaming, highlighting key techniques, challenges, and future opportunities. It discusses breakthroughs which demonstrate AI’s ability to outperform professional human players in various game types. The authors analyze the difficulties associated with different gaming genres and the AI frameworks used to tackle them.

Xiaohong Bao. (2024). Transforming University Research and Education: Unleashing the Potential of Immersive Multimedia and AI-Assisted Blended Learning Through Online Gaming. Computer-Aided Design & Applications, 21, 106–119.

This paper examines how immersive multimedia and AI blended learning transforms research and education, through online gaming. The author explains how the integration of AI learning models within gaming environments enhances student engagement, knowledge retention, and interdisciplinary collaboration. The study highlights AI’s ability to personalize learning experiences and optimize outcomes while addressing challenges such as institutional barriers and technological limitations.

Natasha Dwyer, Matthew Harrison, Ben O’Mara, & Kirsten Harley. (2024). Inclusive gaming through AI: a perspective for identifying opportunities and obstacles through co-design with people living with MND. Frontiers in Computer Science, 6.

This paper explores how AI can enhance the accessibility of video gaming for individuals living with Motor Neurone Disease (MND), a condition causing muscle weakness and paralysis. Authors emphasize designing AI solutions with people who have lived experience of MND to ensure meaningful accessibility improvements.

Cvetković, D. (Ed.). (2018). Simulation and Gaming. InTech. doi: 10.5772/intechopen.69391

Chapter 10 explores how AI simulations are reshaping gambling environments, where AI dealers could potentially increase house advantages. The chapter poses the ethical concerns regarding AI's influence on gaming behaviors, including problem gambling and predictive analytics for player retention.