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Should Conditional Self-Driving Cars Consider the State of the Human Inside the Vehicle?

Published: 22 June 2021 Publication History

Abstract

Autonomous vehicles with conditional automation are said to be the next step in the development of self-driving cars. The human driver still performs a critical role in them, by taking over the control of the vehicle if prompted. As the technology is still facing pending challenges, the human drivers are also required to be able to detect and react in case of Autonomous Drive System (ADS) malfunctions. Within this context, in this work we argue that to assure safety during autonomous operation the user state should be measured all the time, which is intended to support a ”fallback ready state”. From an in-depth literature review, this article identifies the human factors involved in the aforementioned ”fallback ready state” that affect the personalization of human-vehicle interaction.

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    Published In

    cover image ACM Conferences
    UMAP '21: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
    June 2021
    431 pages
    ISBN:9781450383677
    DOI:10.1145/3450614
    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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    Publication History

    Published: 22 June 2021

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    Author Tags

    1. Autonomous Vehicles
    2. Conditional Automation
    3. Human Centered Computing
    4. Human Factors
    5. Self Driving Cars
    6. Take Over Request

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    Funding Sources

    • Government of the Comunidad de Madrid
    • Spanish Ministry of Science, Innovation and Universities
    • Interministerial Science and Technology Committee (CICYT)

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    UMAP '21
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    Overall Acceptance Rate 162 of 633 submissions, 26%

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    Cited By

    View all
    • (2024)Crowdsourced Data Collection Opens New Avenues for the Behavioral Sciences to Impact Real-World ApplicationsPolicy Insights from the Behavioral and Brain Sciences10.1177/23727322241274745Online publication date: 9-Sep-2024
    • (2024)Evaluation of Semi-Supervised Machine Learning applied to Affective State Detection2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10502901(320-325)Online publication date: 11-Mar-2024
    • (2024)Self-driving Cars in the Arctic EnvironmentInternational Congress and Workshop on Industrial AI and eMaintenance 202310.1007/978-3-031-39619-9_7(89-100)Online publication date: 1-Jan-2024
    • (2023)On the Road to Productivity: Investigating Text-Presentation Techniques and Audio Assistance for Non-Driving Tasks in Conditionally Automated VehiclesProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627787(122-133)Online publication date: 3-Dec-2023
    • (2023)On the link between generative semi-supervised learning and generative open-set recognitionScientific African10.1016/j.sciaf.2023.e0190322(e01903)Online publication date: Nov-2023

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