Consumer Knowledge of and Confusion with Driving Automation: Trends, Challenges and Implications

Proceedings of the Human Factors and Ergonomics Society Annual Meeting(2023)

引用 0|浏览10
暂无评分
摘要
A variety of lower-level automation features, including driver support technologies and active driving assist features, are widely implemented in today’s vehicles. However, consumer knowledge of driving automation remains limited, and a more comprehensive understanding is needed regarding the links between knowledge, acceptance, and consumer characteristics. This study used data from a multi-year series of large-scale surveys to analyze trends and dynamics in consumer knowledge. Results showed a consistently low accuracy regarding the definition of fully automated, self-driving vehicles across consumers of different demographic and behavioral characteristics. In contrast, self-rated knowledge of self-driving vehicles varied between different consumer segments, with no significant association with actual knowledge, suggesting a prevalence of misperceptions and over-confidence among the general public. This paper discusses implications for consistent messaging, targeted communication, and improved use of terminology for establishing knowledge and ensuring that future acceptance is grounded on correct understanding.
更多
查看译文
关键词
driving automation,knowledge,consumer
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要