Mirnig, AG, Marcano, M, Trösterer, S et al. (5 more authors) (2021) Workshop on Exploring Interfaces for Enhanced Automation Assistance for Improving Manual Driving Abilities. In: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. AutomotiveUI '21: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 09-14 Sep 2021, Leeds. ACM , pp. 178-181. ISBN 9781450386418
Abstract
With continually advancing automation capabilities in vehicles, there is increasing potential for these capabilities to be used not only as stopgaps towards full automation but to enhance humans’ manual driving capabilities during this transition phase and beyond. By employing smart automation assistance (e.g., highlighting of relevant roadside information, maneuver interventions and corrections), it might even be possible to enable automation assisted “manual” driving for those, who might not be able to drive otherwise (older adults, individuals with impairments). In this workshop, we intend to explore this problem together with the participants and identify potentials for automation assistance to enhance manual driving performance, and what in-vehicle interfaces can contribute in this regard.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Owner/Author. This is an author produced version of a conference paper published in the Proceedings of the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Mar 2022 13:34 |
Last Modified: | 11 Mar 2022 14:46 |
Status: | Published |
Publisher: | ACM |
Identification Number: | 10.1145/3473682.3477441 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:184542 |