Training to Improve Drivers’ Behavior When Partial Driving Automation Fails
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Training to Improve Drivers’ Behavior When Partial Driving Automation Fails
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Identifier |
https://doi.org/10.7910/DVN/4KFEM1
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Creator |
Roberts, Shannon C.
Ebadi, Yalda |
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Publisher |
Harvard Dataverse
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Description |
With the advent of automated vehicle systems, the role of drivers has changed to a more supervisory role. However, it is known that all vehicles with Level 2 (L2) systems have a very specific operational design domain (ODD) and can only function on limited conditions. Hence, it is important for drivers to perceive the situations properly and regain the control from the L2 system when needed. The objective of the current study was to design a training program to increase drivers’ situational awareness regarding operational design domain (ODD) and improve drivers performance in transfer of control situations while driving with L2 automation features. A PC-based training program was designed and tested to improve drivers takeover response and situational awareness when L2 systems reach their ODD limits. Results showed drivers in the PC-based training group took back control more effectively when L2 systems reached their ODD limits and had more situational awareness compared to the drivers who received user manual or placebo training.
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Subject |
Engineering
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Contributor |
Heiden, Jacob
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