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arXiv 2201.10671cs.ROcs.HC
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使用设计隐喻理解用户对社交互动机器人形态的期望

Using Design Metaphors to Understand User Expectations of Socially Interactive Robot Embodiments

University of Southern California(南加州大学)

Nathaniel Dennler, Changxiao Ruan, Jessica Hadiwijoyo, Brenna Chen, Stefanos Nikolaidis, Maja Mataric

AI总结:

本文通过 Mechanical Turk 上的三项研究,利用设计隐喻评估用户对不同机器人形态的社交与功能期望,以指导设计者对齐用户期望与机器人真实能力,促进积极人机交互。

摘要:

机器人的物理设计暗示了人类用户和协作者对该机器人功能的期望。当这些期望与机器人的真实能力一致时,与机器人的交互会得到增强。然而,这些期望的错位可能导致不满意的交互。本文使用 Mechanical Turk,通过将设计隐喻应用于广泛的机器人形态来评估用户期望。第一项研究(N=382)将众包设计隐喻与不同的机器人形态相关联。第二项研究(N=803)评估机器人形态的初始社交期望。最后一项研究(N=805)探讨设计隐喻的抽象程度以及投射在机器人形态上的功能期望。综合来看,这些结果可以指导机器人设计者使用户期望与机器人真实能力保持一致,从而促进积极的人机交互。

英文摘要:

The physical design of a robot suggests expectations of that robot's functionality for human users and collaborators. When those expectations align with the true capabilities of the robot, interaction with the robot is enhanced. However, misalignment of those expectations can result in an unsatisfying interaction. This paper uses Mechanical Turk to evaluate user expectation through the use of design metaphors as applied to a wide range of robot embodiments. The first study (N=382) associates crowd-sourced design metaphors to different robot embodiments. The second study (N=803) assesses initial social expectations of robot embodiments. The final study (N=805) addresses the degree of abstraction of the design metaphors and the functional expectations projected on robot embodiments. Together, these results can guide robot designers toward aligning user expectations with true robot capabilities, facilitating positive human-robot interaction.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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