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Evaluation of graphical human-machine interfaces for turning manoeuvres in automated vehicles

Published: 22 September 2021 Publication History

Abstract

Autonomous vehicles may become an important part of traffic in the next few decades. One of the key factors that contribute to the acceptance of the technology is that the user can understand and to a certain degree predict the behaviour of the automation. One way to communicate the automation's intention and behaviour are graphical human-machine interfaces (HMIs). An online survey was conducted to evaluate five designs for HMIs for turning manoeuvres in automated vehicles. During the survey the participants rated the HMIs based on videos. The overall ratings don't show a clear favourite, however, a separation of the participants regarding their trust in automation and technical affinity indicate preferences regarding the preferred level of abstraction. Furthermore, 97% of the participants agreed that HMIs like the ones presented would help them gain or increase their trust in automated vehicles.

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Cited By

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  • (2024)Shed Light on the Path of Human-Machine Interaction in Autonomous Vehicles: Where Did We Come from, Where We Are Going? Part I, State of the ArtDesign Tools and Methods in Industrial Engineering III10.1007/978-3-031-58094-9_33(301-309)Online publication date: 7-May-2024
  • (2023)Team at Your Service: Investigating Functional Specificity for Trust Calibration in Automated Driving with Conversational AgentsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.221995239:16(3254-3267)Online publication date: 29-Jun-2023
  1. Evaluation of graphical human-machine interfaces for turning manoeuvres in automated vehicles

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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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    Author Tags

    1. Human computer interaction
    2. autonomous driving
    3. human factor

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    View all
    • (2024)Shed Light on the Path of Human-Machine Interaction in Autonomous Vehicles: Where Did We Come from, Where We Are Going? Part I, State of the ArtDesign Tools and Methods in Industrial Engineering III10.1007/978-3-031-58094-9_33(301-309)Online publication date: 7-May-2024
    • (2023)Team at Your Service: Investigating Functional Specificity for Trust Calibration in Automated Driving with Conversational AgentsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.221995239:16(3254-3267)Online publication date: 29-Jun-2023

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