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Personalized user profiles for autonomous vehicles

Published: 21 September 2019 Publication History

Abstract

Adapting the driving style of autonomous vehicles to fit the user's preferences may reduce uncomfortable user experiences. This can support the adoption process of the technology. We present ongoing research about adaptive customizable user profiles for autonomous driving styles. We propose a system that allows users to customize maneuver-based driving styles via a graphical user interface. Additionally, the system can learn user preferences based on user state assessment. We plan to design and evaluate this system with two driving simulator studies.

References

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  • (2025)Ontology-Based Customisation Management System for Driver-Vehicle Interfaces: A Preventive Approach to Incident Reduction and Legal Accountability in Highly Automated VehiclesApplied Sciences10.3390/app1503104315:3(1043)Online publication date: 21-Jan-2025
  • (2024)Designing User Interfaces for Automated Driving: A Simulator Study on Individual Information PreferencesIEEE Transactions on Intelligent Vehicles10.1109/TIV.2023.33222619:1(338-346)Online publication date: Jan-2024
  • (2023)Comparing Subjective Similarity of Automated Driving Styles to Objective Distance-Based SimilarityHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/0018720822114212666:5(1545-1563)Online publication date: 5-Jan-2023
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cover image ACM Conferences
AutomotiveUI '19: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings
September 2019
524 pages
ISBN:9781450369206
DOI:10.1145/3349263
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: 21 September 2019

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Author Tags

  1. adaptive automation
  2. autonomous vehicles
  3. human-machine interaction

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AutomotiveUI '19
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Overall Acceptance Rate 248 of 566 submissions, 44%

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AutomotiveUI '25

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Cited By

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  • (2025)Ontology-Based Customisation Management System for Driver-Vehicle Interfaces: A Preventive Approach to Incident Reduction and Legal Accountability in Highly Automated VehiclesApplied Sciences10.3390/app1503104315:3(1043)Online publication date: 21-Jan-2025
  • (2024)Designing User Interfaces for Automated Driving: A Simulator Study on Individual Information PreferencesIEEE Transactions on Intelligent Vehicles10.1109/TIV.2023.33222619:1(338-346)Online publication date: Jan-2024
  • (2023)Comparing Subjective Similarity of Automated Driving Styles to Objective Distance-Based SimilarityHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/0018720822114212666:5(1545-1563)Online publication date: 5-Jan-2023
  • (2022)An Inverse Reinforcement Learning Approach for Customizing Automated Lane Change SystemsIEEE Transactions on Vehicular Technology10.1109/TVT.2022.317933271:9(9261-9271)Online publication date: Sep-2022
  • (2022)Effects of environmental, vehicle and human factors on comfort in partially automated driving: A scenario-based studyTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2022.03.01286(392-401)Online publication date: Apr-2022
  • (2022)A Case-Study for a Human-Centered Approach to Traffic Management SystemsHCI International 2022 Posters10.1007/978-3-031-06394-7_34(259-266)Online publication date: 16-Jun-2022
  • (2021)Holistic Vehicle Instrumentation for Assessing Driver Driving StylesSensors10.3390/s2104142721:4(1427)Online publication date: 18-Feb-2021
  • (2021)What does Well-Designed Adaptivity Mean for Drivers? A Research Approach to Develop Recommendations for Adaptive In-Vehicle User Interfaces that are Understandable, Transparent and Controllable13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3473682.3480261(43-46)Online publication date: 9-Sep-2021
  • (2021)Should Conditional Self-Driving Cars Consider the State of the Human Inside the Vehicle?Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3462243(137-141)Online publication date: 21-Jun-2021
  • (2021)Investigation of Personality Traits and Driving Styles for Individualization of Autonomous VehiclesIntelligent Human Systems Integration 202110.1007/978-3-030-68017-6_12(78-83)Online publication date: 26-Jan-2021
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