“You Are Doing so Great!” – The Effect of a Robot’s Interaction Style on Self-Efficacy in HRI

Setareh Zafari, Isabel Schwaninger, Matthias Hirschmanner, Christina Schmidbauer, A. Weiss, S. Koeszegi
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引用次数: 11

Abstract

People form mental models about robots’ behavior and intention as they interact with them. The aim of this paper is to evaluate the effect of different interaction styles on self-efficacy in human-robot interaction (HRI), people’s perception of the robot, and task engagement. We conducted a user study in which a social robot assists people verbally while building a house of cards. Data from our experimental study revealed that people engaged longer in the task while interacting with a robot that provides person related feedback than with a robot that gives no person or task related feedback. Moreover, people interacting with a robot with a person-oriented interaction style reported a higher self-efficacy in HRI, perceived higher agreeableness of the robot and found the interaction less frustrating, as compared to a robot with a task-oriented interaction style. This suggests that a robot’s interaction style can be considered as a key factor for increasing people’s perceived self-efficacy in HRI, which is essential for establishing trust and enabling Human-robot collaboration.
“你做得太棒了!”——HRI中机器人互动方式对自我效能的影响
当人们与机器人互动时,他们会对机器人的行为和意图形成心理模型。本研究旨在探讨不同交互方式对人机交互自我效能感、人对机器人的感知和任务投入的影响。我们进行了一项用户研究,在这个研究中,一个社交机器人在帮助人们用纸牌搭房子的同时,用语言进行帮助。我们实验研究的数据显示,人们在与提供与人有关的反馈的机器人互动时,比与不提供与人或任务有关的反馈的机器人互动时投入的时间更长。此外,与以人为导向的互动风格的机器人互动的人相比,与以任务为导向的互动风格的机器人互动的人报告了更高的HRI自我效能,感知到更高的机器人亲和性,并且发现互动不那么令人沮丧。这表明,机器人的交互方式可以被认为是提高人在HRI中感知自我效能感的关键因素,这对于建立信任和实现人机协作至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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