Analyzing Usage Behavior and Preferences of Drivers Regarding Shared Automated Vehicles: Insights from an Online Survey

Verena Pongratz, Lorenz Steckhan, Klaus Bengler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Studies show that shared automated vehicles (SAV) can increase public acceptance of automation and enable affordable on-demand mobility. However, the varying levels of knowledge about driver assistance systems (DAS) among users of automated vehicles can lead to their underuse or misuse. With the concept of vehicle sharing, familiarity with DAS varies depending on the individual user and the vehicle used. To address this issue, drivers of SAV need to be adequately informed about DAS and their intended use. This information could be provided before the trip through tutorials or during the trip through human-machine interfaces (HMI). Understanding user characteristics and expectations is essential to make these information concepts appealing. Accordingly, we conducted an online survey to gain insights into drivers’ utilization patterns and preferences concerning shared vehicles and the use of automated driving features. The results indicate a desire for more information about the availability and intended use of DAS among users but a rejection of mandatory pre-driving introductions. The study highlights the importance of configurable and adaptive HMI concepts to provide information while driving, respecting the drivers’ needs and preferences.

Original languageEnglish
Title of host publicationHCI International 2024 – Late Breaking Papers - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings
EditorsDon Harris, Wen-Chin Li, Heidi Krömker
PublisherSpringer Science and Business Media Deutschland GmbH
Pages103-121
Number of pages19
ISBN (Print)9783031768231
DOIs
StatePublished - 2025
Event26th International Conference on Human-Computer Interaction, HCII 2024 - Washington, United States
Duration: 29 Jun 20244 Jul 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15381 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference26th International Conference on Human-Computer Interaction, HCII 2024
Country/TerritoryUnited States
CityWashington
Period29/06/244/07/24

Keywords

  • Automated Driving
  • Driver Assistance Systems
  • Driver Preferences
  • Intended System Use
  • Shared Vehicles
  • Usage Behavior

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