Evaluating advanced driver-assistance system trainings using driver performance, attention allocation, and neural efficiency measures. (April 2020)
- Record Type:
- Journal Article
- Title:
- Evaluating advanced driver-assistance system trainings using driver performance, attention allocation, and neural efficiency measures. (April 2020)
- Main Title:
- Evaluating advanced driver-assistance system trainings using driver performance, attention allocation, and neural efficiency measures
- Authors:
- Zahabi, Maryam
Abdul Razak, Ashiq Mohammed
Shortz, Ashley E.
Mehta, Ranjana K.
Manser, Michael - Abstract:
- Abstract: There are about 44 million licensed older drivers in the U.S. Older adults have higher crash rates and fatalities as compared to middle-aged and young drivers, which might be associated with degradations in sensory, cognitive, and physical capabilities. Advanced driver-assistance systems (ADAS) have the potential to substantially improve safety by removing some of driver vehicle control responsibilities. However, a critical aspect of providing ADAS is educating drivers on their operational characteristics and continued use. Twenty older adults participated in a driving simulation study assessing the effectiveness of video-based and demonstration-based training protocols in learning ADAS considering gender differences. The findings revealed video-based training to be more effective than demonstration-based training in improving driver performance and reducing off-road visual attention allocation and mental workload. In addition, female drivers required lower investment of mental effort (higher neural efficiency) to maintain the performance relative to males and they were less distracted by ADAS. However, male drivers were faster in activating ADAS as compared to females since they were monitoring the status of ADAS features more frequently while driving. The findings of this study provided an empirical support for using video-based approach for learning ADAS in older adults to improve driver safety and supported previous findings on older adults' learning that asAbstract: There are about 44 million licensed older drivers in the U.S. Older adults have higher crash rates and fatalities as compared to middle-aged and young drivers, which might be associated with degradations in sensory, cognitive, and physical capabilities. Advanced driver-assistance systems (ADAS) have the potential to substantially improve safety by removing some of driver vehicle control responsibilities. However, a critical aspect of providing ADAS is educating drivers on their operational characteristics and continued use. Twenty older adults participated in a driving simulation study assessing the effectiveness of video-based and demonstration-based training protocols in learning ADAS considering gender differences. The findings revealed video-based training to be more effective than demonstration-based training in improving driver performance and reducing off-road visual attention allocation and mental workload. In addition, female drivers required lower investment of mental effort (higher neural efficiency) to maintain the performance relative to males and they were less distracted by ADAS. However, male drivers were faster in activating ADAS as compared to females since they were monitoring the status of ADAS features more frequently while driving. The findings of this study provided an empirical support for using video-based approach for learning ADAS in older adults to improve driver safety and supported previous findings on older adults' learning that as age increases there is a tendency to prefer more passive and observational learning methods. Highlights: Video-based training of ADAS improves older adults' driving performance. Video-based training of ADAS reduces older adults' mental workload and distraction. As age increases, drivers prefer more passive and observational learning methods. Females had higher neural efficiency to maintain the performance relative to males. … (more)
- Is Part Of:
- Applied ergonomics. Volume 84(2020)
- Journal:
- Applied ergonomics
- Issue:
- Volume 84(2020)
- Issue Display:
- Volume 84, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 84
- Issue:
- 2020
- Issue Sort Value:
- 2020-0084-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04
- Subjects:
- ADAS -- Older adults -- fNIRS
Human engineering -- Periodicals
620.82 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00036870 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apergo.2019.103036 ↗
- Languages:
- English
- ISSNs:
- 0003-6870
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.500000
British Library DSC - BLDSS-3PM
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