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

要旨

The advent of artificial intelligence (AI) and machine learning (ML) bring human-AI interaction to the forefront of HCI research. This paper argues that games are an ideal domain for studying and experimenting with how humans interact with AI. Through a systematic survey of neural network games (n = 38), we identified the dominant interaction metaphors and AI interaction patterns in these games. In addition, we applied existing human-AI interaction guidelines to further shed light on player-AI interaction in the context of AI-infused systems. Our core finding is that AI as play can expand current notions of human-AI interaction, which are predominantly productivity-based. In particular, our work suggests that game and UX designers should consider flow to structure the learning curve of human-AI interaction, incorporate discovery-based learning to play around with the AI and observe the consequences, and offer users an invitation to play to explore new forms of human-AI interaction.

著者
Jichen Zhu
Drexel University, Philadelphia, Pennsylvania, United States
Jennifer Villareale
Drexel University Westphal , Philadelphia, Pennsylvania, United States
Nithesh Javvaji
Northeastern University, Boston, Massachusetts, United States
Sebastian Risi
IT University of Copenhagen, Copenhagen, Denmark
Mathias Löwe
IT University of Copenhagen, Copenhagen, Denmark
Rush Weigelt
Drexel University, Philadelphia, Pennsylvania, United States
Casper Harteveld
Northeastern University, Boston, Massachusetts, United States
DOI

10.1145/3411764.3445307

論文URL

https://doi.org/10.1145/3411764.3445307

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Computational AI Development and Explanation

[B] Paper Room 02, 2021-05-14 01:00:00~2021-05-14 03:00:00 / [C] Paper Room 02, 2021-05-14 09:00:00~2021-05-14 11:00:00 / [A] Paper Room 02, 2021-05-13 17:00:00~2021-05-13 19:00:00
Paper Room 02
12 件の発表
2021-05-14 01:00:00
2021-05-14 03:00:00
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