感觉很重要!参与以任务为导向的社交机器人

L. J. Corrigan, Christina Basedow, Dennis Küster, Arvid Kappas, Christopher E. Peters, Ginevra Castellano
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引用次数: 11

摘要

面向任务的社交机器人的参与是一个复杂的现象,包括任务和社会两个因素。这一领域以前的工作倾向于孤立地关注这些方面,而不考虑一个方面可能导致另一个方面的积极或消极影响。我们对两者都进行了探索,试图理解参与任务如何影响与机器人的社会关系,反之亦然。在本文中,我们描述了在一项探索性试点研究中收集的参与者自我报告数据的分析,该研究用于评估用户的“参与感知”。我们讨论了我们的分析结果如何表明,最终,是用户自己对机器人特征的感知,如友好、乐于助人和注意力,导致了对任务和机器人的持续参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perception matters! Engagement in task orientated social robotics
Engagement in task orientated social robotics is a complex phenomenon, consisting of both task and social elements. Previous work in this area tends to focus on these aspects in isolation without consideration for the positive or negative effects one might cause the other. We explore both, in an attempt to understand how engagement with the task might effect the social relationship with the robot, and vice versa. In this paper, we describe the analysis of participant self-report data collected during an exploratory pilot study used to evaluate users' “perception of engagement”. We discuss how the results of our analysis suggest that ultimately, it was the users' own perception of the robots' characteristics such as friendliness, helpfulness and attentiveness which led to sustained engagement with both the task and robot.
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