The First Workshop on Human-AI Interaction through Play
Held in conjunction with The Foundations of Digital Games (FDG) Conference, 2023, 11–14 April 2023, Lisbon, Portugal
Submission date Jan 27, 2023
Notifications send TBD
Workshop Date April 11, 2023
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 (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. Papers must be anonymized.
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 <[log in to unmask]<mailto:[log in to unmask]>>.
Paper authors will present their work as part of thematic panels followed by smaller group activities related to the workshop theme. For more information visit our website at https://sites.google.com/view/hai-play-2023-workshop/home
MOTIVATION AND GOALS
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 ?
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
- The submissions will undergo a double-blind review process. Accepted papers will be included in the FDG proceedings.
Jichen Zhu, IT University of Copenhagen, Denmark
Mike Preuss, Universiteit Leiden, the Netherlands
Antonios Liapis, University of Malta, Malta
Casper Harteveld, Northeastern University, U.S.A.
Alena Denisova, University of York, U.K.
Seth Cooper, Northeastern University, U.S.A
Guillaume Chanel, University of Geneva, Switzerland
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