Kills, Deaths, and (Computational) Assists: Identifying Opportunities forComputational Support in Esport Learning

要旨

Esports play can cultivate real world skills. However, the path to mastery is not easy, and difficulty progressing can result in discontinuation. In the absence of a human coach, computational tools may provide much needed guidance. However, the specific improvement activities that players engage in and the exact challenges they face are not well defined in the context of computational support. As such, most tools can only support players based on a high level understanding of their practices. We present the results of an interview study (n=17) that identified four improvement activities: practicing, leveraging the knowledge of others, tracking performance, and reflecting on gameplay and setting goals, and four challenges: coordinating and collaborating with teammates, knowing what to do next, tracking game state, and tracking skill and improvement. We discuss six implications for future design and development based on these results.

著者
Erica Kleinman
UC Santa Cruz, Santa Cruz, California, United States
Murtuza N. Shergadwala
UC Santa Cruz, Santa Cruz, California, United States
Magy Seif El-Nasr
University of California at Santa Cruz, Santa Clara, California, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517654

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Games: Advancing the State of the Art

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5 件の発表
2022-05-04 18:00:00
2022-05-04 19:15:00