新驾驶员采用自动驾驶汽车的增强净价模型(NVM)

Areej Ahmad A. Alshaafee, N. A. Iahad
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引用次数: 0

摘要

自动驾驶汽车(AVs, Level 4)可以在不需要驾驶员的任何互动的情况下从A点驾驶到B点,因为它们能够感知周围环境。为数不多的关于采用自动驾驶汽车的研究往往局限于长期持有正式驾照的经验丰富的司机;目前还没有关于新手驾驶自动驾驶汽车的研究。此外,以前的研究都没有使用净价模型(NVM)来调查AV的采用。意识到这一差距,本研究的目的是调查影响Level 4自动驾驶新手采用的因素。通过将NVM扩展为三个结构作为自变量:个人创新、替代方案和社会影响,提出了一个概念模型。基于提出的概念模型,我们提出了16个假设,这些假设将在本研究的下一阶段进行测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Net Valence Model (NVM) for the Adoption of Autonomous Vehicles (AVs) by Novice Drivers
Autonomous Vehicles (AVs, Level 4) can drive themselves from point A to point B without the need for any interaction from the driver because they are able to sense the surrounding environment. The few studies on adopting AVs tend to be narrowly focused on experienced drivers who have held a full license for a long time; there is no research yet on the adoption of AVs by novice drivers. Moreover, none of the previous studies has used the Net Valence Model (NVM) in investigating AV adoption. Realizing this gap, the aim of this study is to investigate factors influencing the adoption by novice drivers of Level 4 AVs. A conceptual model is proposed by extending NVM with three constructs as independent variables: personal innovativeness, alternatives, and social influence. Based on the proposed conceptual model, 16 hypotheses have been formulated which will be tested in the next phase of this research.
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