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Transitions Between Highly Automated and Longitudinally Assisted Driving: The Role of the Initiator in the Fight for Authority
| Content Provider | SAGE Publishing |
|---|---|
| Author | Maggi, Davide Romano, Richard Carsten, Oliver |
| Copyright Year | 2020 |
| Abstract | ObjectiveA driving simulator study explored how drivers behaved depending on their initial role during transitions between highly automated driving (HAD) and longitudinally assisted driving (via adaptive cruise control).BackgroundDuring HAD, drivers might issue a take-over request (TOR), initiating a transition of control that was not planned. Understanding how drivers behave in this situation and, ultimately, the implications on road safety is of paramount importance.MethodSixteen participants were recruited for this study and performed transitions of control between HAD and longitudinally assisted driving in a driving simulator. While comparing how drivers behaved depending on whether or not they were the initiators, different handover strategies were presented to analyze how drivers adapted to variations in the authority level they were granted at various stages of the transitions.ResultsWhenever they initiated the transition, drivers were more engaged with the driving task and less prone to follow the guidance of the proposed strategies. Moreover, initiating a transition and having the highest authority share during the handover made the drivers more engaged with the driving task and attentive toward the road.ConclusionHandover strategies that retained a larger authority share were more effective whenever the automation initiated the transition. Under driver-initiated transitions, reducing drivers’ authority was detrimental for both performance and comfort.ApplicationAs the operational design domain of automated vehicles (Society of Automotive Engineers [SAE] Level 3/4) expands, the drivers might very well fight boredom by taking over spontaneously, introducing safety issues so far not considered but nevertheless very important. |
| Related Links | https://journals.sagepub.com/doi/pdf/10.1177/0018720820946183?download=true |
| Starting Page | 601 |
| Ending Page | 612 |
| Page Count | 12 |
| ISSN | 00187208 |
| Issue Number | 3 |
| Volume Number | 64 |
| Journal | Human Factors (HFS) |
| e-ISSN | 15478181 |
| DOI | 10.1177/0018720820946183 |
| Language | English |
| Publisher | Sage Publications CA |
| Publisher Date | 2020-08-31 |
| Publisher Place | Los Angeles |
| Access Restriction | Open |
| Rights Holder | Copyright © 2020, The Author(s) |
| Subject Keyword | intelligent vehicle systems human–automation interaction autonomous driving driver behavior vehicle automation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Human Factors and Ergonomics Behavioral Neuroscience Applied Psychology |
