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Tunneled In: Drivers with Active Secondary Tasks Need More Time to Transition from Automation

Published: 02 May 2017 Publication History

Abstract

In partially automated driving, rapid transitions of control present a severe hazard. How long does it take a driver to take back control of the vehicle when engaged with other non-driving tasks? In this driving simulator study, we examined the performance of participants (N=30) after an abrupt loss of automated vehicle control. We tested three transition time conditions, with an unstructured transition of control occurring 2s, 5s, or 8s before entering a curve. As participants were occupied with an active secondary task (playing a game on a tablet) while the automated driving mode was enabled, they needed to disengage from the task and regain control of the car when the transition occurred. Few drivers in the 2 second condition were able to safely negotiate the road hazard situation, while the majority of drivers in the 5 or 8 second conditions were able to navigate the hazard situation safely.

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    cover image ACM Conferences
    CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
    May 2017
    7138 pages
    ISBN:9781450346559
    DOI:10.1145/3025453
    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: 02 May 2017

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    Author Tags

    1. autonomous vehicles
    2. car simulator
    3. controlled study
    4. human machine interaction
    5. transition of control

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    • Center for Design Research Affiliates Program

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    CHI '17 Paper Acceptance Rate 600 of 2,400 submissions, 25%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    • (2024)Exploring the Timing of Disengagement From Nondriving Related Tasks in Scheduled Takeovers With Pre-Alerts: An Analysis of Takeover-Related MeasuresHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/00187208231226052Online publication date: 11-Jan-2024
    • (2024)Spot Report: An Open-Source and Real-Time Secondary Task for Human-Robot Interaction User ExperimentsCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640718(191-195)Online publication date: 11-Mar-2024
    • (2024)PREDICTOR: A tool to predict the timing of the take-over response process in semi-automated drivingTransportation Research Interdisciplinary Perspectives10.1016/j.trip.2024.10119227(101192)Online publication date: Sep-2024
    • (2024)Critical voxel learning with vision transformer and derivation of logical AV safety assessment scenariosAccident Analysis & Prevention10.1016/j.aap.2023.107422195(107422)Online publication date: Feb-2024
    • (2023)Effect of Obstacle Type and Cognitive Task on Situation Awareness and Takeover Performance in Conditionally Automated DrivingProceedings of the 34th Conference on l'Interaction Humain-Machine10.1145/3583961.3583966(1-12)Online publication date: 3-Apr-2023
    • (2022)Take-Over Requests after Waking in Autonomous VehiclesApplied Sciences10.3390/app1203143812:3(1438)Online publication date: 28-Jan-2022
    • (2022)Human–Machine Interaction in Intelligent and Connected Vehicles: A Review of Status Quo, Issues, and OpportunitiesIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.312721723:9(13954-13975)Online publication date: Sep-2022
    • (2022)Prototyping and Evaluation of Infrastructure-Assisted Transition of Control for Cooperative Automated VehiclesIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.306108523:7(6720-6736)Online publication date: 1-Jul-2022
    • (2022)Devil in the details: Systematic review of TOR signals in automated driving with a generic classification frameworkTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2022.10.00991(274-328)Online publication date: Nov-2022
    • (2022)The effect of the dominance of an in-vehicle agent’s voice on driver situation awareness, emotion regulation, and trust: A simulated lab study of manual and automated drivingTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2022.01.00986(33-47)Online publication date: Apr-2022
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