Player-AI Interaction: What Can Human-Centered AI Learn from Computer Games and Other Creative Domains - IEEE CoG2022 Keynote VI

Keynote VI of 2022 IEEE Conference on Games given by Jichen Zhu (IT University of Copenhagen, Denmark), with the title of Player-AI Interaction: What Can Human-Centered AI Learn from Computer Games and Other Creative Domains. 

Recent growth in artificial intelligence and machine learning propels human-AI interaction, especially with end-users, to the forefront of HCI research. Among the fast-growing body of literature on human-AI interaction design, the context of play and playful interaction is an overlooked area.

Since computer games naturally focus on end-user experience, the fields of game AI and game design have accumulated decades of valuable design knowledge. This talk synthesizes the current trends of player-AI interaction, discussing how they can advance broader open problems in Human-Center AI, such as interpretability/explainability, trust and ethics, and human-machine collaboration.

Built on examples from recent AI-based games and digital art, we will propose open problems in the design and technical implementation of player-AI interaction.