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What's in a Name: Vehicle Technology Branding & Consumer Expectations for Automation

Published: 24 September 2017 Publication History

Abstract

Vehicle technology naming has the potential to influence drivers' expectations (mental model) of the level of autonomous operation supported by semi-automated technologies that are rapidly becoming available in new vehicles. If divergence exists between expectations and actual design specifications, it may make it harder to develop trust or clear expectations of systems, thus mitigating potential benefits. Alternately, over-trust and misuse due to misunderstanding increase the potential for adverse events. An online survey investigated whether and how names of advanced driver assistance systems (ADAS) and automation features relate to expected automation levels. Systems with "Cruise" in their names were associated with lower levels of automation. "Assist" systems appeared to create confusion between whether the driver is assisting the system or vice versa. Survey findings indicate the importance of vehicle technology naming and its impact in influencing drivers' expectations of responsibility between the driver and system in who performs individual driving functions.

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    cover image ACM Conferences
    AutomotiveUI '17: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
    September 2017
    317 pages
    ISBN:9781450351508
    DOI:10.1145/3122986
    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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    Published: 24 September 2017

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    Author Tags

    1. Advanced Driver Assistance Systems
    2. Automation
    3. Branding
    4. Confusion

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    Overall Acceptance Rate 248 of 566 submissions, 44%

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    • (2024)The Impact of a Priori Information on Drivers’ Mental Models, Attitudes, and Behavior in Interaction with Partial and Conditional Driving AutomationInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2341190(1-13)Online publication date: 22-Apr-2024
    • (2024)A journey from users' experience to their expectations in the realm of future advanced driver assistance systemsTransportation Planning and Technology10.1080/03081060.2024.2372366(1-28)Online publication date: 2-Jul-2024
    • (2024)Trust, risk perception, and intention to use autonomous vehicles: an interdisciplinary bibliometric reviewAI & SOCIETY10.1007/s00146-024-01895-2Online publication date: 25-Mar-2024
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    • (2023)Pilot study: Effect of roles and responsibility training on driver's use of adaptive cruise control between younger and older adultsTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2023.01.02394(53-66)Online publication date: Apr-2023
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