Dice Adventure: An Asymmetrical Collaborative Game for Exploring the Hybrid Teaming Effects
Proceedings of the 20th International Conference on the Foundations of Digital Games 🏆 Best Paper Award
2025
Abstract
In this work, we designed and developed Dice Adventure, a turn-based multiplayer game where three characters work together to reach their individual goals and then a shared team goal to complete each level. Using Dice Adventure as the environment, we hosted a game competition with two tracks: agent and player. Participants could join one or both by submitting an agent they developed and/or signing up to play with the agents submitted by other developers. We collected competition game play data as part of a human-AI teaming pilot study to understand team behaviors, performance, and to test our systems. Insights from the competition also informed the design of a randomized controlled study for future experiments and competitions, aimed at exploring key human-AI teaming questions—such as how role assignments, team compositions, and team dynamics influence team performance. Our work introduces a novel gaming environment to support future research on human-AI teaming and offers preliminary insights into the design of such studies.
BibTeX
@inproceedings{zhang-fdg-2025,
title = {Dice Adventure: An Asymmetrical Collaborative Game for Exploring the Hybrid Teaming Effects},
author = {Zhang, Qiao and Smith, Glen and Li, Ziyu and Dong, Yuxuan and Harpstead, Erik and MacLellan, Christopher J.},
booktitle = {Proceedings of the 20th International Conference on the Foundations of Digital Games},
pages = {1-9},
year = {2025},
doi = {10.1145/3723498.3723793},
}