Speculative Game Design of Asymmetric Cooperative Games to Study Human-Machine Teaming
Proceedings of The First Workshop on Human-AI Interaction through Play @ FDG 2023
2023
Abstract
While recent advances in Artificial Intelligence and Machine Learning have demonstrated the potential for AI systems to outperform human experts in many domains, including games, AI systems still generally lack the ability to team with humans on complex tasks. One of the barriers to addressing this challenge is a lack of shared task domains in which to do basic research to study Human-Machine Teaming strategies. In our work, we employ speculative game design to create asymmetric cooperative games that can serve as test beds to study human-machine teaming challenges. In this paper, we will describe our general approach and detail the current state of our development efforts.
BibTeX
@inproceedings{harpstead-fdg-2023,
title = {Speculative Game Design of Asymmetric Cooperative Games to Study Human-Machine Teaming},
author = {Harpstead, Erik and Stowers, Kimberly and Lawley, Lane and Zhang, Qiao and MacLellan, Christopher J.},
booktitle = {Proceedings of The First Workshop on Human-AI Interaction through Play @ FDG 2023},
pages = {1-4},
year = {2023},
doi = {10.1145/3582437.3587200},
}