Effects of Predictive Robot Eyes on Trust and Task Performance in an Industrial Cooperation Task

IF 4.2 Q2 ROBOTICS

ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568294.3580123

L. Onnasch, Paul Schweidler, Maximilian Wieser

引用次数: 1

Abstract

Industrial cobots can perform variable action sequences. For human-robot interaction (HRI) this can have detrimental effects, as the robot's actions can be difficult to predict. In human interaction, eye gaze intuitively directs attention and communicates subsequent actions. Whether this mechanism can benefit HRI, too, is not well understood. This study investigated the impact of anthropomorphic eyes as directional cues in robot design. 42 participants worked on two subsequent tasks in an embodied HRI with a Sawyer robot. The study used a between-subject design and presented either anthropomorphic eyes, arrows or a black screen as control condition on the robot's display. Results showed that neither directional stimuli nor the anthropomorphic design in particular led to increased trust. But anthropomorphic robot eyes improved the prediction speed, whereas this effect could not be found for non-anthropomorphic cues (arrows). Anthropomorphic eyes therefore seem to be better suitable for an implementation on an industrial robot.

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预测机器人眼对工业协作任务中信任和任务绩效的影响

工业协作机器人可以执行各种动作序列。对于人机交互(HRI)来说，这可能会产生有害的影响，因为机器人的行为很难预测。在人类互动中，眼睛的凝视直观地引导注意力并传达后续行动。这种机制是否也能使HRI受益，目前还不清楚。本研究探讨了拟人化眼睛作为机器人设计方向线索的影响。42名参与者与Sawyer机器人一起在嵌入式HRI中完成了两个后续任务。该研究采用了受试者之间的设计，并在机器人的显示器上展示拟人化的眼睛、箭头或黑屏作为控制条件。结果表明，定向刺激和拟人化设计都不能增加信任。但拟人化的机器人眼睛提高了预测速度，而非拟人化的线索(箭头)则没有这种效果。因此，拟人化的眼睛似乎更适合在工业机器人上实现。

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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来源期刊

ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence

CiteScore

7.70

自引率

5.90%

发文量

期刊介绍： ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.