Keynote: Player-AI Interaction: What Can Human-Centered AI Learn from Computer Games and Other Creative Domains
IEEE Members: Free
Non-members: FreeDuration: 00:55:57
Jichen Zhu (IT University of Copenhagen, Denmark), Abstract: 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, an overlooked area is the context of play and playful interaction. Since computer games naturally focus on end-user experience, the fields of game AI and game design have accumulated decades of valuable design knowledge. In this talk, we will synthesize the current trends of player-AI interaction and discuss 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.