论文标题
我觉得我觉得你：游戏中的思维理论实验
I Feel I Feel You: A Theory of Mind Experiment in Games
论文作者
论文摘要
在这项研究玩家的情感理论的游戏理论中，我们研究了特工的行为以及玩家自己的表现和情感如何影响沮丧的行为的认识。我们专注于对挫败感的看法，因为它是人类计算机相互作用中普遍的情感体验。我们提出了针对这一目标量身定制的测试台游戏，其中玩家与基于理论的挫败感模型与代理商竞争。我们收集游戏数据，这是一个关于玩家对特工挫败感的评估的注释的地面真相，并应用面部识别来估算玩家的情绪状态。我们通过相关分析和预测机器学习模型来检查收集的数据，并发现玩家可观察到的情绪与代理人的挫败感高度相关。这表明我们的主题的心理理论是基于游戏玩法上下文的认知过程。我们的预测模型 - 使用排名支持向量机---证实了这些结果，从而对玩家的心理理论进行了适度准确的预测指标。
In this study into the player's emotional theory of mind of gameplaying agents, we investigate how an agent's behaviour and the player's own performance and emotions shape the recognition of a frustrated behaviour. We focus on the perception of frustration as it is a prevalent affective experience in human-computer interaction. We present a testbed game tailored towards this end, in which a player competes against an agent with a frustration model based on theory. We collect gameplay data, an annotated ground truth about the player's appraisal of the agent's frustration, and apply face recognition to estimate the player's emotional state. We examine the collected data through correlation analysis and predictive machine learning models, and find that the player's observable emotions are not correlated highly with the perceived frustration of the agent. This suggests that our subject's theory of mind is a cognitive process based on the gameplay context. Our predictive models---using ranking support vector machines---corroborate these results, yielding moderately accurate predictors of players' theory of mind.
