Human-Machine Interfaces for Handover from Automated Driving Systems: A Literature Review
| Autor: | Richard L. Greatbatch, Robert E. Llaneras, Hyungil Kim, Zachary R. Doerzaph |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64:1406-1410 |
| ISSN: | 1071-1813 2169-5067 |
| DOI: | 10.1177/1071181320641335 |
| Popis: | New automated driving systems are constantly being developed and integrated into vehicles. At the current state of technology, these features still require drivers to monitor performance and resume control when required by the systems. To cue drivers to take control, a takeover request (TOR) is presented with auditory, visual, and haptic cues. To characterize current TOR practices, a literature review was conducted to review types of human-machine interfaces (HMI’s) and their associated message presentation. Twenty-six articles were identified after searching keywords across journal articles and conference proceedings. HMIs and message types were identified and classified. Results indicated that TORs are more commonly used as general alerts to gain driver attention to driving tasks, rather than to request drivers to engage in a specific action or explain context of the TOR. Literature suggests that future systems may focus more on not only alerting drivers but providing additional context to those alerts. |
| Databáze: | OpenAIRE |
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