Measuring Trust in Human Robot Interactions: Development of the “ Trust Perception Scale-HRI ”
Measuring Trust in Human Robot Interactions: Development of the “ Trust Perception Scale-HRI ”
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测量人机交互中的信任：“信任感知量表-HRI”的开发
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Kristin E. Schaefer
中科院分区：
文献类型：
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作者：
Kristin E. Schaefer
随着机器人进一步渗透到日常环境中，对这些机器人的信任成为一个至关重要的问题。这项工作的目的是创建和验证一个可靠的规模，可以衡量个人对机器人的信任的变化。目前的信任理论的评估确定了可测量的前因特定于人类，机器人和环境。六个实验包括40个项目的信任量表的发展。量表开发包括创建156个条目库。两个实验确定了机器人的功能和感知的功能特性，这些功能特性与机器作为机器人的分类有关。项目池减少技术和主题专家（SME）的内容验证被用来减少规模到42个项目。然后进行两个最终实验以验证该量表。最终确定的40项前后交互信任量表旨在测量特定于人机交互的信任感知。该量表以0- 100%的评级量表衡量信任度，并提供信任度百分比得分。一个14个项目的子规模，这最终版本的中小企业推荐的测试可能是足够的一些HRI的任务，这一命题的影响进行了讨论。
As robots penetrate further into the everyday environments, trust in these robots becomes a crucial issue. The purpose of this work was to create and validate a reliable scale that could measure changes in an individual’s trust in a robot. Assessment of current trust theory identified measurable antecedents specific to the human, the robot, and the environment. Six experiments subsumed the development of the 40 item trust scale. Scale development included the creation of a 156 item pool. Two experiments identified the robot features and perceived functional characteristics that were related to the classification of a machine as a robot for this item pool. Item pool reduction techniques and subject matter expert (SME) content validation were used to reduce the scale to 42 items. The two final experiments were then conducted to validate the scale. The finalized 40 item pre-post interaction trust scale was designed to measure trust perceptions specific to human-robot interaction. The scale measures trust on a 0–100 % rating scale and provides a percentage trust score. A 14 item sub-scale of this final version of the test recommended by SMEs may be sufficient for some HRI tasks, and the implications of this proposition are discussed.