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An Online Study to Explore Trust in Highly Automated Vehicle in Non-Critical Automated Driving Scenarios

Published: 22 September 2021 Publication History

Abstract

While using highly automated systems, various non-critical automated driving scenarios can be identified in which trust plays a role. In this study, we investigated the change of trust in these scenarios with a digital “Feeling of Trust” indicator, through video-based online experiments simulating automated driving. Initial results show that trust even changes in these scenarios and revealed multiple influential factors. While trust seems to drop consistently in certain cases, we found individual differences in other events. With our experimental setup and findings, we provide a tool to examine trust aspects in an online study. This contributes to the understanding of how to design human-vehicle interactions in highly automated cars with the goal to calibrate trust under ordinary non-critical events.

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Cited By

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  • (2023)Designing Inclusive Interaction with Autonomous Vehicles for Older PassengersProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596045(2138-2154)Online publication date: 10-Jul-2023
  • (undefined)How Shared Intended Pathway and Object Recognition Bounding Boxes Affects Drivers of Automated Vehicles: An Online, Randomised Video ExperimentSSRN Electronic Journal10.2139/ssrn.4132057

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cover image ACM Conferences
AutomotiveUI '21 Adjunct: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
September 2021
234 pages
ISBN:9781450386418
DOI:10.1145/3473682
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 22 September 2021

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  1. Trust calibration
  2. highly automated vehicles
  3. video study

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View all
  • (2023)Designing Inclusive Interaction with Autonomous Vehicles for Older PassengersProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596045(2138-2154)Online publication date: 10-Jul-2023
  • (undefined)How Shared Intended Pathway and Object Recognition Bounding Boxes Affects Drivers of Automated Vehicles: An Online, Randomised Video ExperimentSSRN Electronic Journal10.2139/ssrn.4132057

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