Conference proceeding
Playing with Dezgo: Adapting Human-AI Interaction to the Context of Play
Proceedings of the 18th International Conference on the Foundations of Digital Games, pp 1-5
12 Apr 2023
Abstract
Play is a valuable context for investigating how users understand AI systems. This paper offers a case study that explores how users’ interactions with AI in other domains can be integrated into a game. Through this transformation, researchers and practitioners may uncover players’ misconceptions and learn how they evolve over time. In our case study, we adapt Stable Diffusion for use in a social human-AI interaction (HAI) game. The game introduces a challenging twist to a typical HAI and promotes discussion of users’ mental models with each other. We offer design considerations to help researchers design playful and social interactions that yield insights into players’ mental models.
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Details
- Title
- Playing with Dezgo: Adapting Human-AI Interaction to the Context of Play
- Creators
- Jennifer Villareale - Drexel University, United StatesGabriele Cimolino - Queen's UniversityDaniel Gomme - University of Essex
- Contributors
- Phil Lopes (Editor) - Lusófona UniversityFilipe Luz (Editor) - Lusófona UniversityAntonios Liapis (Editor) - University of MaltaHenrik Engström (Editor) - University of Skövde
- Publication Details
- Proceedings of the 18th International Conference on the Foundations of Digital Games, pp 1-5
- Conference
- FDG 2023: Foundations of Digital Games 2023
- Series
- ACM Other Conferences
- Publisher
- ACM
- Number of pages
- 5
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Games, Artificial Intelligence, and Media Systems (GAIMS) Center
- Web of Science ID
- WOS:001092777800062
- Scopus ID
- 2-s2.0-85153566473
- Other Identifier
- 991022207176404721