自动驾驶车辆信任量表(TSDV)的编制

Ian W. T. Robertson, Philip Kortum, Claudia Ziegler Acemyan, Frederick L. Oswald
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引用次数: 1

摘要

自动驾驶汽车(sdv)是一种新兴技术,消费者对其信任度较低。研究人员/设计师可以通过研究和迭代设计来理解和提高消费者的信任,但这样做需要可靠的措施。尽管存在一般的自动化信任度量,但是为sdv量身定制的度量可能会提供更准确的工具。本研究提出了为sdv创建特定领域信任度量所进行的工作。候选项目被分配给400名参与者,他们对一辆SDV的信任程度进行评级,这些SDV是在一篇描述乘坐该车辆的叙述中描绘的。自动驾驶汽车信任量表(TSDV)是通过使用心理测量学方法分析参与者的反应而创建的。从参与者的回答中提取了四个因素。每个因素保留五个项目来创建TSDV。仪器有效性的初步证据是通过TSDV区分可信和不可信车辆的能力来呈现的,如使用场景所示。
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The Development of the Trust in Self-Driving Vehicles Scale (TSDV)
Self-driving vehicles (SDVs) are an emerging technology in which consumers have low levels of trust. Researchers/designers can understand and improve consumer trust through research and iterative design, but doing so effectively requires reliable measures. Although general trust-in-automation measures exist, a measure tailored to SDVs may provide a more accurate tool. This study presents work undertaken to create a domain specific trust measure for SDVs. Candidate items were given to 400 participants who rated their trust in an SDV portrayed in a narrative describing a ride in said vehicle. The Trust in Self-driving Vehicles Scale (TSDV) was created by analyzing participants’ responses using psychometric methods. Four factors were extracted from participants’ responses. Five items were retained for each factor to create the TSDV. Initial evidence of the validity of the instrument is presented through the TSDV’s ability to discriminate between a trustworthy and non-trustworthy vehicle, as portrayed in use scenarios.
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