Article

Collision warning design to mitigate driver distraction

Authors:

Joshua D. Hoffman,

Elizabeth HayesAuthors Info & Claims

CHI '04: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 65 - 72

https://doi.org/10.1145/985692.985701

Published: 25 April 2004 Publication History

Abstract

As computers and other information technology move into cars and trucks, distraction-related crashes are likely to become an important problem. This paper begins to address this problem by examining how alert strategy (graded and single-stage) and alert modality (haptic and auditory) affect how well collision warning systems mitigate distraction and direct drivers attention to the car ahead when it unexpectedly brakes. We conducted two experiments in which drivers interacted with an in-vehicle email system and a collision warning system signaled a braking lead vehicle. The first experiment showed that graded alerts led to a greater safety margin and a lower rate of inappropriate responses to nuisance warnings. A second experiment focused on attitudes toward the collision warning system and found that graded alerts were more trusted than single stage alerts and that haptic alerts, a vibrating seat in these experiments, were perceived as less annoying and more appropriate. Graded haptic alerts offer a promising approach to developing context aware computing in a safety-critical application.

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Cited By

Zhu AMa KChoi AHu DHu CPeng PHe J(2025)The Effectiveness of Unimodal and Multimodal Warnings on Drivers’ Response Time: A Meta-AnalysisApplied Sciences10.3390/app1502052715:2(527)Online publication date: 8-Jan-2025
https://doi.org/10.3390/app15020527
Lachance-Tremblay JTkiouat ZLéger PCameron ATitah RCoursaris CSénécal S(2025)A gaze-based driver distraction countermeasureInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103366193:COnline publication date: 1-Jan-2025
https://dl.acm.org/doi/10.1016/j.ijhcs.2024.103366
Einhäuser WNeubert CGrimm SBendixen A(2024)High visual salience of alert signals can lead to a counterintuitive increase of reaction timesScientific Reports10.1038/s41598-024-58953-414:1Online publication date: 17-Apr-2024
https://doi.org/10.1038/s41598-024-58953-4
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Index Terms

Collision warning design to mitigate driver distraction
1. Human-centered computing

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cover image ACM Conferences

CHI '04: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2004

742 pages

ISBN:1581137028

DOI:10.1145/985692

Conference Chairs:
Elizabeth Dykstra-Erickson
Kinoma
,
Manfred Tscheligi
CURE, Austria

Copyright © 2004 ACM.

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: 25 April 2004

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April 24 - 29, 2004

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Cited By

Zhu AMa KChoi AHu DHu CPeng PHe J(2025)The Effectiveness of Unimodal and Multimodal Warnings on Drivers’ Response Time: A Meta-AnalysisApplied Sciences10.3390/app1502052715:2(527)Online publication date: 8-Jan-2025
https://doi.org/10.3390/app15020527
Lachance-Tremblay JTkiouat ZLéger PCameron ATitah RCoursaris CSénécal S(2025)A gaze-based driver distraction countermeasureInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103366193:COnline publication date: 1-Jan-2025
https://dl.acm.org/doi/10.1016/j.ijhcs.2024.103366
Einhäuser WNeubert CGrimm SBendixen A(2024)High visual salience of alert signals can lead to a counterintuitive increase of reaction timesScientific Reports10.1038/s41598-024-58953-414:1Online publication date: 17-Apr-2024
https://doi.org/10.1038/s41598-024-58953-4
Lee DPark JKang JYun TPark DChoi S(2024)Participatory Design for In-Vehicle Vibrotactile Warnings on Driver’s SeatHaptics: Understanding Touch; Technology and Systems; Applications and Interaction10.1007/978-3-031-70061-3_29(358-371)Online publication date: 3-Nov-2024
https://doi.org/10.1007/978-3-031-70061-3_29
Einziger GHimelbrand OWaisbard E(2023)Boosting Cache Performance by Access Time MeasurementsACM Transactions on Storage10.1145/357277819:1(1-29)Online publication date: 17-Feb-2023
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Wu SLi JSousa MGrossman T(2023)Investigating Guardian Awareness Techniques to Promote Safety in Virtual Reality2023 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR55154.2023.00078(631-640)Online publication date: Mar-2023
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Wu RChen H(2023)The Effect of Visual and Auditory Modality Mismatching between Distraction and Warning on Pedestrian Street Crossing Behavior2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR59233.2023.00121(1045-1054)Online publication date: 16-Oct-2023
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van Berkel NSarsenbayeva ZGoncalves J(2023)The methodology of studying fairness perceptions in Artificial IntelligenceInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102954170:COnline publication date: 8-Feb-2023
https://dl.acm.org/doi/10.1016/j.ijhcs.2022.102954
Liu SWu BMa SYang Z(2023)Advanced Audio-Visual Multimodal Warnings for Drivers: Effect of Specificity and Lead Time on EffectivenessEngineering Psychology and Cognitive Ergonomics10.1007/978-3-031-35389-5_32(467-484)Online publication date: 9-Jul-2023
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Lehto MNanda G(2023)Safety Warnings for AutomationSpringer Handbook of Automation10.1007/978-3-030-96729-1_29(661-679)Online publication date: 17-Jun-2023
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