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(Over)Trust in Automated Driving: The Sleeping Pill of Tomorrow?

Published: 02 May 2019 Publication History

Abstract

Both overtrust in technology and drowsy driving are safety-critical issues. Monitoring a system is a tedious task and overtrust in technology might also influence drivers' vigilance, what in turn could multiply the negative impact of both issues. The aim of this study was to investigate if trust in automation affects drowsiness. 30 participants in two age groups conducted a 45-minute ride in a level-2 vehicle on a real test track. Trust was assessed before and after the ride with a subjective trust scale. Drowsiness was captured during the experiment using the Karolinska Sleepiness Scale. Results depict, that even a short initial system exposure significantly increases trust in automated driving. Drivers who trust the automated vehicles more show larger signs of drowsiness what may negatively impact the monitoring behavior. Drowsiness detection is important for automated vehicles, and the behavior of drowsy drivers might help to infer trust in an unobtrusively way.

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  • (2024)The Impact of Cybersecurity Attacks on Human Trust in Autonomous Vehicle OperationsHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/00187208241283321Online publication date: 18-Sep-2024
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  • (2024)Automated or humanComputers in Human Behavior10.1016/j.chb.2024.108387161:COnline publication date: 18-Nov-2024
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cover image ACM Conferences
CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
May 2019
3673 pages
ISBN:9781450359719
DOI:10.1145/3290607
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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Publication History

Published: 02 May 2019

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Author Tags

  1. automated driving
  2. driver drowsiness
  3. driver state
  4. subjective measures
  5. trust
  6. user study

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Cited By

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  • (2024)The Impact of Cybersecurity Attacks on Human Trust in Autonomous Vehicle OperationsHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/00187208241283321Online publication date: 18-Sep-2024
  • (2024)Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics ApplicationsIEEE Open Journal of Control Systems10.1109/OJCSYS.2023.33450903(58-86)Online publication date: 2024
  • (2024)Automated or humanComputers in Human Behavior10.1016/j.chb.2024.108387161:COnline publication date: 18-Nov-2024
  • (2023)How Do Drivers Perceive Risks During Automated Driving Scenarios? An fNIRS Neuroimaging StudyHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/00187208231185705Online publication date: 26-Jun-2023
  • (2023)The Placebo Effect of Artificial Intelligence in Human–Computer InteractionACM Transactions on Computer-Human Interaction10.1145/352922529:6(1-32)Online publication date: 11-Jan-2023
  • (2023)Regulating for trust: Can law establish trust in artificial intelligence?Regulation & Governance10.1111/rego.12568Online publication date: 30-Nov-2023
  • (2023)Driving into the Loop: Mapping Automation Bias and Liability Issues for Advanced Driver Assistance SystemsDigital Society10.1007/s44206-023-00066-y2:3Online publication date: 7-Oct-2023
  • (2023)The Influence of Situational Variables Toward Initial Trust Formation on Autonomous SystemHCI in Mobility, Transport, and Automotive Systems10.1007/978-3-031-35678-0_5(70-89)Online publication date: 9-Jul-2023
  • (2022)Why Does the Automation Say One Thing but Does Something Else? Effect of the Feedback Consistency and the Timing of Error on Trust in Automated DrivingInformation10.3390/info1310048013:10(480)Online publication date: 6-Oct-2022
  • (2022)Effects of Scene Detection, Scene Prediction, and Maneuver Planning Visualizations on Trust, Situation Awareness, and Cognitive Load in Highly Automated VehiclesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35346096:2(1-21)Online publication date: 7-Jul-2022
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