Use the GDC 2021 Session Viewer to browse and sort the ever-growing list of sessions by pass type, topic, and format. You will be able to build your personal schedule directly within the event platform, once live early July 2021.
Batu Aytemiz (PhD Student, University of California Santa Cruz)
Pass Type: All Access Pass, Summits Pass
Vault Recording: TBD
Audience Level: N/A: I prefer to present live on-site but I am open to delivering a virtual presentation
Traditionally the gameplaying AI systems in our videogames are used to defeat the player. This talk explores ways in which we can use the same gameplaying AI systems to assist our players. Batu Aytemiz is a PhD student and AI researcher at University of California, Santa Cruz. In this talk he shares how gameplaying AI systems can be used to make games more inclusive and support players engage with our games. He introduces a design exercise to help developers come up with assistance methods that can use preexisting AI systems and showcases several assistance methods that use a reinforcement learning-based navigation system.
The attendees will learn a new set of potential use cases for their preexisting gameplaying AI systems, they will be introduced to a design exercise that will help them generate assistance methods, and finally, they will see an avenue where academic RL research can be useful for the games industry.
This talk primarily be useful for AI developers, accessibility specialists, and technical designers. No prerequisites will be necessary as the very few technical concepts used in the talk will be explained.