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Conference papers

On-Road Evaluation of Autonomous Driving Training

Abstract : Driver interaction with increasingly automated vehicles requires prior knowledge of system capabilities, operational know-how to use novel car equipment and responsiveness to unpredictable situations. With the purpose of getting drivers ready for autonomous driving, in a between-subject study sixty inexperienced participants were trained with an on-board video tutorial, an Augmented Reality (AR) program and a Virtual Reality (VR) simulator. To evaluate the transfer of training to real driving scenarios, a test drive on public roads was conducted implementing, for the first time in these conditions, the Wizard of Oz (WoZ) protocol. Results suggest that VR and AR training can foster knowledge acquisition and improve reaction time performance in takeover requests. Moreover, participants' behavior during the test drive highlights the ecological validity of the experiment thanks to the effective implementation of the WoZ methodology.
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Submitted on : Friday, March 15, 2019 - 5:10:36 PM
Last modification on : Wednesday, November 17, 2021 - 12:31:06 PM


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  • HAL Id : hal-02069508, version 1


Daniele Sportillo, Alexis Paljic, Luciano Ojeda. On-Road Evaluation of Autonomous Driving Training. 14th ACM/IEEE International Conference on Human Robot Interaction, Mar 2019, Daegu, South Korea. ⟨hal-02069508⟩



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