research-article

Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving

Authors:

Göran Falkman,

Staffan DavidssonAuthors Info & Claims

AutomotiveUI '13: Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 210 - 217

https://doi.org/10.1145/2516540.2516554

Published: 28 October 2013 Publication History

Abstract

To investigate the impact of visualizing car uncertainty on drivers' trust during an automated driving scenario, a simulator study was conducted. A between-group design experiment with 59 Swedish drivers was carried out where a continuous representation of the uncertainty of the car's ability to autonomously drive during snow conditions was displayed to one of the groups, whereas omitted for the control group. The results show that, on average, the group of drivers who were provided with the uncertainty representation took control of the car faster when needed, while they were, at the same time, the ones who spent more time looking at other things than on the road ahead. Thus, drivers provided with the uncertainty information could, to a higher degree, perform tasks other than driving without compromising with driving safety. The analysis of trust shows that the participants who were provided with the uncertainty information trusted the automated system less than those who did not receive such information, which indicates a more proper trust calibration than in the control group.

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Cited By

Lee MPitts B(2024)The Impact of System Confidence and Reliability on Drivers’ Decision-Making in Conditionally Automated VehiclesProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/10711813241260388Online publication date: 12-Aug-2024
https://doi.org/10.1177/10711813241260388
Colley MSpeidel OStrohbeck JRixen JBelz JRukzio E(2024)Effects of Uncertain Trajectory Prediction Visualization in Highly Automated Vehicles on Trust, Situation Awareness, and Cognitive LoadProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314087:4(1-23)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631408
Degachi CMehrotra SYurrita MNiforatos ETielman M(2024)Practising Appropriate Trust in Human-Centred AI DesignExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650825(1-8)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650825
Show More Cited By

Index Terms

Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Other conferences

AutomotiveUI '13: Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

October 2013

281 pages

ISBN:9781450324786

DOI:10.1145/2516540

Conference Chair:
Jacques Terken
Eindhoven University of Technology, Eindhoven, The Netherlands
,
Program Chairs:
Marieke Martens
TNO / Universiteit Twente, Twente, The Netherlands
,
Christian Müller
DFKI, Saarbrücken, Germany
,
Jennifer Healey
INTEL Labs, Santa Clara, USA
,
Publications Chair:
Sebastian Osswald
Technische Universität München, TUM CREATE, Singapore

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Eindhoven University of Technology Department of Industrial Design: Eindhoven University of Technology, Department of Industrial Design

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2013

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Funding Sources

Swedish Knowledge Foundation
University of Skövde
National Aviation Engineering Research Program

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AutomotiveUI '13

Sponsor:

Eindhoven University of Technology Department of Industrial Design

AutomotiveUI '13: Automotive User Interfaces and Interactive Vehicular Applications

October 28 - 30, 2013

Eindhoven, Netherlands

Acceptance Rates

AutomotiveUI '13 Paper Acceptance Rate 41 of 67 submissions, 61%;

Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

Lee MPitts B(2024)The Impact of System Confidence and Reliability on Drivers’ Decision-Making in Conditionally Automated VehiclesProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/10711813241260388Online publication date: 12-Aug-2024
https://doi.org/10.1177/10711813241260388
Colley MSpeidel OStrohbeck JRixen JBelz JRukzio E(2024)Effects of Uncertain Trajectory Prediction Visualization in Highly Automated Vehicles on Trust, Situation Awareness, and Cognitive LoadProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314087:4(1-23)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631408
Degachi CMehrotra SYurrita MNiforatos ETielman M(2024)Practising Appropriate Trust in Human-Centred AI DesignExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650825(1-8)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650825
Gerber MSchroeter RJohnson DJanssen CRakotonirainy AKuo JLenné M(2024)An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated DrivingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642219(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642219
Ha SMonadjemi SOttley A(2024)Guided By AI: Navigating Trust, Bias, and Data Exploration in AI‐Guided Visual AnalyticsComputer Graphics Forum10.1111/cgf.1510843:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15108
Yang BInoue KYan ZWang ZKitazaki SNakano K(2024)Influences of Level 2 Automated Driving on Driver Behaviors: A Comparison With Manual DrivingIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.330856925:1(144-158)Online publication date: Jan-2024
https://doi.org/10.1109/TITS.2023.3308569
Peintner JHimmels CRock TManger CJung ORiener A(2024)Driving Behavior Analysis: A Human Factors Perspective on Automated Driving Styles2024 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV55156.2024.10588527(3312-3317)Online publication date: 2-Jun-2024
https://doi.org/10.1109/IV55156.2024.10588527
Li YWu WGao CLi C(2024)Study on the Psychological Acceptance of Level 3 Autonomous Driving2024 10th International Conference on Control, Automation and Robotics (ICCAR)10.1109/ICCAR61844.2024.10569531(5-9)Online publication date: 27-Apr-2024
https://doi.org/10.1109/ICCAR61844.2024.10569531
Kuribayashi ATakeuchi ECarballo AIshiguro YTakeda K(2023)Recognition Assistance Interface for Human-Automation Cooperation in Pedestrian Risk PredictionSAE International Journal of Connected and Automated Vehicles10.4271/12-06-03-00236:3Online publication date: 6-Jun-2023
https://doi.org/10.4271/12-06-03-0023
Lawson-Guidigbe CLouveton NAmokrane-Ferka KLe Blanc BAndré J(2023)Embodying a Virtual Agent in a Self-Driving CarInternational Journal of Mobile Human Computer Interaction10.4018/IJMHCI.33054215:1(1-18)Online publication date: 21-Sep-2023
https://dl.acm.org/doi/10.4018/IJMHCI.330542
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