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接受全自动驾驶:个人拥有和共享使用概念。

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

机构信息

1438 University of California, Berkeley, Richmond, USA.

出版信息

Hum Factors. 2020 Mar;62(2):288-309. doi: 10.1177/0018720819870658. Epub 2019 Aug 30.

DOI:10.1177/0018720819870658
PMID:31469591
Abstract

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.

摘要

目的

本研究旨在为全自主驾驶的两种概念(个人拥有和共享使用)开发用户接受模型。

背景

许多制造商一直在大力投资并积极开发全自主驾驶。然而,影响用户对全自主驾驶接受程度的因素尚不完全清楚。

方法

本研究由两部分组成:焦点小组讨论和在线调查。共有 30 名潜在用户参加了焦点小组讨论,讨论他们对全自主驾驶接受的看法。基于焦点小组讨论的结果、理论基础和经验证据,我们假设了个人拥有和共享使用概念的接受模型。我们分别对 310 名和 250 名参与者进行了在线测试。

结果

焦点小组的结果表明,用户关注的焦点是安全、有用性、兼容性、信任和易用性。调查结果显示,在两个模型中,感知有用性和感知安全性都起着重要作用,而感知易用性的直接影响则不显著。感知易用性的间接影响在个人拥有模型中比在共享使用模型中较小,而在个人拥有模型中,有用性、信任和兼容性比在共享使用模型中发挥更重要的作用。

结论

研究结果揭示了影响两种全自主驾驶概念行为意向的一系列结构。

应用

本研究的框架和结果为政府机构、制造商和自动化设计师提供了有价值的指导,使他们更好地了解用户对全自主驾驶的接受程度。

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