Conversational AI agents are becoming ubiquitous and provide assistance to us in our everyday activities. In recent years, researchers have explored the migration of these agents across different embodiments in order to maintain the continuity of the task and improve user experience. In this paper, we investigate user's affective responses in different configurations of the migration parameters. We present a 2x2 between-subjects study in a task-based scenario using information migration and identity migration as parameters. We outline the affect processing pipeline from the video footage collected during the study and report user's responses in each condition. Our results show that users reported highest joy and were most surprised when both the information and identity was migrated; and reported most anger when the information was migrated without the identity of their agent.
翻译:交流的AI代理机构正在变得无处不在,并帮助我们开展日常活动。近年来,研究人员探索了这些代理机构跨越不同化体的迁移情况,以保持任务的连续性,改善用户经验。在本文件中,我们调查了用户在不同组合的迁移参数中的感性反应。我们用信息迁移和身份迁移作为参数,在基于任务的情景中提出一个2x2主题间研究。我们概述了研究期间收集的视频视频中的影响处理管道,并报告了每个条件下用户的反应。我们的结果显示,用户报告最快乐,在信息和身份迁移时最惊讶;在信息迁移时,没有其代理人的身份,我们报告最多的愤怒。