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Effect of advanced driver-assistance system trainings on driver workload,knowledge, and trust
Affiliation:1. Industrial and Systems Engineering Department, Texas A&M University, College Station, TX, United States;2. Texas A&M Transportation Institute, College Station, TX, United States;1. Insurance Institute for Highway Safety, Arlington, VA, United States;2. Westat, Rockville, MD, United States;1. National Advanced Driving Simulator, University of Iowa, United States;2. College of Engineering, University of Iowa, United States;3. AAA Foundation for Traffic Safety, United States;1. HumanLAB, DGIST (Daegu Gyeongbuk Institute of Science and Technology), 333 Techno-Jungang-Daero, Building R4-708, Dalseong-Gun, Deagu 711-813, South Korea;2. Center for Transportation Studies, 351 McCormick Rd, University of Virginia, PO Box 400742, Charlottesville, VA 22904-4742, USA;1. Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran;2. School of Civil Engineering, Sharif University of Technology, Tehran, Iran;1. University of Tsukuba, Japan;2. Japan Automobile Research Institute, Japan
Abstract:Older adults are more likely to get severely injured or die in vehicle crashes. Advanced driver-assistance systems (ADAS) can reduce their risk of crashes; however, due to the lack of knowledge and training, usage rate of these systems among older drivers is limited. The objective of this study was to evaluate the impact of two ADAS training approaches (i.e., video-based and demonstration-based training) on older drivers’ subjective and objective measures of mental workload, knowledge and trust considering drivers’ demographic information. Twenty older adults, balanced by gender, participated in a driving simulation study. Results indicated that the video-based training might be more effective for females in reducing their mental workload while driving, whereas the demonstration-based training could be more beneficial for males. There was no significant difference between the video-based and demonstration-based trainings in terms of drivers’ trust and knowledge of automation. The findings suggested that ADAS training protocols can potentially be more effective if they are tailored to specific driver demographics.
Keywords:ADAS  Training  Older adult  Cognitive load  Trust  Knowledge
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