Human-AI Interaction is a rapidly growing research area. As Artificial intelligence (AI) and machine learning (ML) increasingly take over tasks previously performed only by humans, it leads to more situations where humans and machines need to cooperate. Compared to their traditional supportive role, current AI products increasingly make autonomous decisions and share responsibility with humans in a wide range of domains such as self-driving cars, robotic surgical systems, and human-AI decision-making teams. In many cases, social interaction convention developed between humans, such as collaboration and competition, is becoming a starting point for understanding and designing human-machine cooperation (HMC) on topics such as ability, authority, and control.

Computer games and playful media provide a unique platform to study human-AI interaction. Many games are social by nature as they embed mechanisms for collaborative and competitive play between players and AIs. When a user co-creates new game levels with an AI, they collaborate through play.

In this workshop, we explore the questions around human-AI cooperation through play. How to design playful interactions that facilitate human-AI teams? Can affects associated with gameplay be used to guide human-AI collaboration? How do we design gameplay where multiple AIs and multiple players interact with one another? How do we conceptualize adversarial AI and human-AI competition as a productive alternative? What evaluation methods are needed that fully account for the autonomy of AI? Which factors of human-AI collaborations lead to productive and fun interactions ?

Researchers and practitioners interested in related areas are invited to submit papers between 2-4 pages (including references) in ACM SIGCONF version of the ACM Primary Template (https://www.acm.org/publications/proceedings-template). The submissions must be original and relevant contributions. Examples include, but not limited to, position papers summarizing authors’ existing research in this area and how it relates to the workshop theme, papers that review the related literature and offer a new perspective, and papers that describe work-in-progress research projects.

Related topics include but are not limited to the following, in games and playable media:

• Human-AI teams 

• Mixed-initiative collaboration between human and AI 

• AI assistants or tutors for players

• Human-AI collaboration for problem solving

• AI explainability for players

• Socio-affective computing in games (e.g., relational or cognitive aspects of player-AI cooperation)

• Believable agents in human-AI teams

• Methods for the assessment of human and AI collaborations

• Transparency, trust, and ethics in human-AI cooperation

Submission: 

Papers should be submitted via Easychair (https://easychair.org/my/conference?conf=fdg2023) by the end of January 27th 2023 (AoE), and will be reviewed by committee members. Submissions should be between 2 and 4 pages (including references) in ACM SIGCONF version of the ACM Primary Template. The submissions must be original and relevant contributions. Examples include, but not limited to, position papers summarizing authors’ existing research in this area and how it relates to the workshop theme, papers that review the related literature and offer a new perspective, and papers that describe work-in-progress research projects. 

The submissions should be double-blind (anonymized) and will receive three reviews. Accepted papers are expected to be included in the FDG Conference proceedings. 

At least one author of each accepted position paper must register for and attend the workshop. It is anticipated that accepted contributions will be published in the FDG proceedings.

For further questions please contact the workshop organizers at haiplay_fdg23 at googlegroups.com.