The More You Know, The More You Can Trust: Drivers’ Understanding of the Advanced Driver Assistance System

Cho, Jiyong; Heo, Jeongyun

doi:10.1007/978-3-030-50523-3_16

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…The first subcategory related to human factors was driver misuse or disuse of ADAS, either intentional or unintentional, due to the trust level of the driver in the system and/or the driver's misunderstanding of the system. Example studies [2,14,17] showed that drivers' partial understanding or misunderstanding of the system's capabilities and limitations, led to system misuse with possible serious consequences. A survey conducted by McDonald et al [41] showed that only 21% of the respondents correctly pointed out that BSW was not designed for extremely high speed, and 62% believed that FCW would automatically apply brakes.…”

Section: Adas Limitationsmentioning

confidence: 99%

Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data

Ayoub

Wang

et al. 2022

Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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Advanced driver assistance systems (ADAS) are designed to improve vehicle safety. However, it is difficult to achieve such benefits without understanding the causes and limitations of the current ADAS and their possible solutions. This study 1) investigated the limitations and solutions of ADAS through a literature review, 2) identified the causes and effects of ADAS through consumer complaints using natural language processing models, and 3) compared the major differences between the two. These two lines of research identified similar categories of ADAS causes, including human factors, environmental factors, and vehicle factors. However, academic research focused more on human factors of ADAS issues and proposed advanced algorithms to mitigate such issues while drivers complained more of vehicle factors of ADAS failures, which led to associated top consequences. The findings from these two sources tend to complement each other and provide important implications for the improvement of ADAS in the future.

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Section: Adas Limitationsmentioning

confidence: 99%