Player-AI Interaction: What Neural Network Games Reveal About AI as Play

Author:

Zhu Jichen1,Villareale Jennifer1,Javvaji Nithesh2,Risi Sebastian3,Löwe Mathias3,Weigelt Rush1,Harteveld Casper4

Affiliation:

1. Drexel University, United States

2. Northeastern University, United States

3. IT University of Copenhagen, Denmark

4. College of Arts, Media and Design Northeastern University, United States

Funder

DFF-Danish ERC-programme grant

NSF

Publisher

ACM

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A systematic DNN weight pruning framework based on symmetric accelerated stochastic ADMM;Neurocomputing;2024-03

2. A Matter of Perspective: Designing Immersive Character Transitions for Virtual Reality Games;Proceedings of the ACM on Human-Computer Interaction;2023-09-29

3. Understanding Design Collaboration Between Designers and Artificial Intelligence: A Systematic Literature Review;Proceedings of the ACM on Human-Computer Interaction;2023-09-28

4. The Shape of Workbreaks to Come;Journal of Organizational and End User Computing;2023-09-01

5. AI Knowledge: Improving AI Delegation through Human Enablement;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

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