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Empirical and modeling study of emotional state dynamics in social videogame paradigms

机译:社会游戏范例中情绪状态动态的实证与模型研究

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The objective of this work was to study the dynamics of human emotional states in the process of social interaction in a virtual environment. The previously developed for this purpose prototypes of the virtual actor (NPC) and its virtual environment simulator "Teleport" underwent significant re-design and modification. The experimental platform was re-implemented and used in experiments with college student participants, combining electromyography, emotion recognition in facial recordings and model-based game log analysis in a social videogame paradigm. Participants interacted with two virtual actors implemented based on the eBICA cognitive architecture (Samsonovich, 2013, 2018). Positive correlations were found between eBICA model predictions and participant affects extracted from their facial expressions and facial muscle activity. Affective dynamics of social phenomena, such as the establishment of partnership or an act of betrayal, were characterized and found consistent with the model predictions. Other findings include a gradually developing emotional reaction, possibly due to the integration of appraisals of game events. Overall, obtained results confirm the eBICA model, suggesting its further extension and refinement. (C) 2019 Elsevier B.V. All rights reserved.
机译:这项工作的目的是研究虚拟环境中社会互动过程中人类情绪状态的动态。先前为此目的开发的虚拟角色(NPC)原型及其虚拟环境仿真器“ Teleport”经过了重大的重新设计和修改。该实验平台已重新实现,并用于与大学生参加的实验中,将肌电图,面部记录中的情感识别以及社交视频游戏范例中基于模型的游戏日志分析相结合。参与者与基于eBICA认知架构实现的两个虚拟参与者进行了交互(Samsonovich,2013,2018)。在eBICA模型预测与参与者从其面部表情和面部肌肉活动中提取的情感之间存在正相关关系。社会现象的情感动态,例如建立伙伴关系或背叛行为,已被表征并发现与模型预测一致。其他发现包括逐渐发展的情感反应,这可能是由于对游戏事件的评估相结合所致。总体而言,获得的结果证实了eBICA模型,表明了它的进一步扩展和完善。 (C)2019 Elsevier B.V.保留所有权利。

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