The role of AI in esports is shifting from leveraging games as a testbed for improving AI algorithms to addressing the needs of the esports players such as enhancing their gaming experience, esports skills, and providing coaching. For AI to be able to effectively address such needs in esports, AI agents require a theory of mind, that is, the ability to infer players' tactics and intents. To that end, in this position paper, we argue for human-in-the-loop approaches for the discovery and computational embedding of the theory of mind within behavioral models of esports players. We discuss that such approaches can be enabled by player-centric investigations on situated cognition that will expand our understanding of the cognitive and other unobservable factors that influence esports players' behaviors. We conclude by discussing the implications of such a research direction in esports as well as broader implications in engineering design and design education.
翻译:AI的作用正在从利用游戏作为改进AI算法的测试点转向满足ESport玩家的需要,如加强其游戏经验、Eports技能和提供辅导。AI要能够有效地解决Eports中的这种需要,AI代理商需要一种思维理论,即能够推断玩家的战术和意图。为此,在本立场文件中,我们主张在Esports玩家行为模型中发现和计算思维理论的“人到人”方法。我们讨论的是,这种方法可以通过以玩家为中心的对位置认知点的调查来促成,这种认知点将扩大我们对影响Eports玩家行为的认知和其他不可观察因素的理解。我们最后通过讨论这种研究方向对Esports的影响以及工程设计和设计教育的更广泛影响来结束。