Acceptance of Full Driving Automation: Personally Owned and Shared-Use Concepts

可用性 焦点小组 自动化 感知 技术接受模型 人为因素与人体工程学 心理学 应用心理学 毒物控制 社会心理学 知识管理 工程类 计算机科学 营销 人机交互 业务 环境卫生 机械工程 神经科学 医学
作者
Sanaz Motamedi,Pei Wang,Tingting Zhang,Ching‐Yao Chan
出处
期刊:Human Factors [SAGE]
卷期号:62 (2): 288-309 被引量:47
标识
DOI:10.1177/0018720819870658
摘要

Objective This study aims to develop user acceptance models for two concepts of full driving automation: personally owned and shared use. Background Many manufacturers have been investing considerably in and actively developing full driving automation. However, factors influencing user acceptance of full driving automation are not yet fully understood. Method This study consisted of two parts: focus group discussions and online surveys. A total of 30 potential users participated in focus groups to discuss their perception of full driving automation acceptance. Based on the findings from focus group discussions, theoretical foundations, and empirical evidence, we hypothesized the acceptance models for both personally owned and shared-use concepts. We tested the models with 310 and 250 participants, respectively, online. Results The results of focus groups indicated that users’ concerns are centered around safety, usefulness, compatibility, trust, and ease of use. The survey results revealed the important roles of perceived usefulness and perceived safety in both models, whereas the direct impact of perceived ease of use was found to be insignificant. The indirect impact of perceived ease of use was less significant in the personally owned than in the shared-use model, whereas usefulness, trust, and compatibility played more important roles in the personally owned when compared with the shared-use model. Conclusion The findings uncovered a chain of constructs that affect behavioral intention to use for both full driving automation concepts. Application The framework and outcome of this study provide valuable guidelines that allow better understanding for government agencies, manufacturers, and automation designers regarding users’ acceptance of full driving automation.
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