The Hazard Potential of Non-Driving-Related Tasks in Conditionally Automated Driving
2022
- 263Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage263
- Abstract Views216
- Downloads47
Article Description
Today, humans and machines successfully interact in a multitude of scenarios. Facilitated by advancements in artificial intelligence, increasing driving automation may allow drivers to focus on non-driving-related tasks (NDRTs) during the automated ride. However, conditionally automated driving as a transitional state between human-operated driving and fully automated driving requires drivers to take over control of the vehicle whenever requested. Thus, the productive use of driving time might come at the cost of increased traffic safety risks due to insufficient and insecure human-vehicle interaction. This study aims to explore the take-over performance and risk potential of different NDRTs (auditory task, visual task on regular display, visual task with mixed reality hardware) while driving. Our study indicates the hazard potential of visual vs. auditory distraction and multitasking vs. sequential tasking. Our findings contribute to understanding what influences the acceptance and adoption of automated driving and inform the design of safe vehicle-human take-overs.
Bibliographic Details
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