At your service: Designing voice assistant personalities to improve automotive user interfaces a real world driving study

Michael Braun, Anja Mainz, Ronee Chadowitz, Bastian Pfleging, Florian Alt

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

    91 Citations (Scopus)
    1569 Downloads (Pure)

    Abstract

    This paper investigates personalized voice characters for in-car speech interfaces. In particular, we report on how we designed different personalities for voice assistants and compared them in a real world driving study. Voice assistants have become important for a wide range of use cases, yet current interfaces are using the same style of auditory response in every situation, despite varying user needs and personalities. To close this gap, we designed four assistant personalities (Friend, Admirer, Aunt, and Butler) and compared them to a baseline (Default) in a between-subject study in real traffic conditions. Our results show higher likability and trust for assistants that correctly match the user’s personality while we observed lower likability, trust, satisfaction,and usefulness for incorrectly matched personalities, each in comparison with the Default character. We discuss design aspects for voice assistants in different automotive use cases.
    Original languageEnglish
    Title of host publicationProceedings of the 2019 CHI Conference on Human Factors in Computing Systems
    Place of PublicationNew York, NY, USA
    PublisherAssociation for Computing Machinery, Inc.
    Number of pages11
    ISBN (Electronic)978-1-4503-5970-2
    DOIs
    Publication statusPublished - 4 May 2019
    Event37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019 - Scottish Event Campus, Glasgow, United Kingdom
    Duration: 4 May 20199 May 2019
    Conference number: 37
    https://chi2019.acm.org

    Conference

    Conference37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019
    Abbreviated titleCHI 2019
    Country/TerritoryUnited Kingdom
    CityGlasgow
    Period4/05/199/05/19
    Internet address

    Keywords

    • Automotive UI
    • Personality
    • Personalization
    • Voice assistant
    • Voice Assistant

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