Users’ Perception Of Training Approaches For Advanced Driver Assistance Systems (Adas)

Abstract

Advanced Driver Assistance Systems (ADAS) provide safety and comfort while driving. However, to effectively use ADAS, it is necessary for users to have proper knowledge of the systems and to trust the system to operate safely. Providing knowledge about operational capabilities and limitations of a system may help improve drivers’ mental models and calibrate their trust resulting in proper use of ADAS. Traditionally system information is provided via the owner’s manual, which is known to be tedious and time-consuming and underscores the need for alternate training approaches. This study evaluates two training methods, Text-Based and System Visualization, to examine users’ perceptions of training and change in trust after training. Results show that although training did not affect users’ trust, a qualitative examination showed that users preferred the Text-Based method rather than the Visualization method.

How does training influence use and understanding of advanced vehicle technologies: a simulator evaluation of driver behavior and mental models

“…Training has been shown to be effective in accelerating higher-order skills and knowledge in traditional driving (Pradhan et al, 2011). In a past study training was found to help calibrate trust and confidence, although in this study the improvement of knowledge and driver responses were not measured (Pai et al, 2021). However, training has an important role and is gaining recognition as a potentially critical tool for improving drivers' knowledge, understanding, and appropriate use of advanced vehicle technologies (Pradhan et al, 2019).…”

Does training improve users' mental models about adaptive cruise control?

“…Previous work has reported that training did not have any impact on the user's post-training overall trust scores (Pai et al, 2021). However, it is unknown if there is a relationship between the mental models scores and overall trust scores.…”