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Redesigning Today’s Driving Automation Toward Adaptive Backup Control With Context-Based and Invisible Interfaces
- Source :
- Human Factors, Human Factors: the journal of the human factors and ergonomics society, 62(2)
- Publication Year :
- 2020
-
Abstract
- Objective We investigated a driver monitoring system (DMS) designed to adaptively back up distracted drivers with automated driving. Background Humans are likely inadequate for supervising today’s on-road driving automation. Conversely, backup concepts can use eye-tracker DMS to retain the human as the primary driver and use computerized control only if needed. A distraction DMS where perceived false alarms are minimized and the status of the backup is unannounced might reduce problems of distrust and overreliance, respectively. Experimental research is needed to assess the viability of such designs. Methods In a driving simulator, 91 participants either supervised driving automation ( auto-hand-on-wheel vs. auto-hands-off-wheel), drove with different forms of DMS-induced backup control ( eyes-only-backup vs. eyes-plus-context-backup; visible-backup vs. invisible-backup), or drove without any automation. All participants performed a visual N-back task throughout. Results Supervised driving automation increased visual distraction and hazard non-responses compared to backup and conventional driving. Auto-hand-on-wheel improved response generation compared to auto-hands-off-wheel. Across entire driving trials, the backup improved lateral performance compared to conventional driving. Without negatively impacting safety, the eyes-plus-context-backup DMS reduced unnecessary automated control compared to the eyes-only-backup DMS conditions. Eyes-only-backup produced low satisfaction ratings, whereas eyes-plus-context-backup satisfaction was on par with automated driving. There were no appreciable negative consequences attributable to the invisible-backup driving automation. Conclusions We have demonstrated preliminary feasibility of DMS designs that incorporate driving context information for distraction assessment and suppress their status indication. Application An appropriately designed DMS can enable benefits for automated driving as a backup.
- Subjects :
- Male
vigilance decrement
Computer science
Poison control
Human Factors and Ergonomics
Context (language use)
adaptive automation
Task (project management)
Behavioral Neuroscience
Automation
Young Adult
Backup
Distraction
0502 economics and business
Data_FILES
Humans
0501 psychology and cognitive sciences
Attention
Computer Simulation
Eye-Tracking Technology
Man-Machine Systems
situated cognitive design
050107 human factors
Applied Psychology
transitions of control (ToC)
eye-tracking
050210 logistics & transportation
business.industry
05 social sciences
Driving simulator
Reliability engineering
driver monitoring system (DMS)
Distracted Driving
Eye tracking
Feasibility Studies
Female
Special Section: Human Factors and Advanced Vehicle Automation
business
Automobiles
Subjects
Details
- Language :
- English
- ISSN :
- 00187208
- Volume :
- 62
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Human Factors: the journal of the human factors and ergonomics society
- Accession number :
- edsair.doi.dedup.....f87e22d64d8db68aac19a207c7b06d82