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An on-road study involving two vehicles: observed differences between an auditory and haptic lane departure warning system

Authors:

Daniel E. Brown,

Bryan Reimer,

Bruce Mehler,

Jonathan DobresAuthors Info & Claims

AutomotiveUI '15: Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 140 - 145

https://doi.org/10.1145/2809730.2809747

Published: 01 September 2015 Publication History

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Abstract

This research examined, as an exploratory secondary analysis, the frequency of lane departure warnings in two commercially available vehicles and users' behavioral and physiological responses to the alarms. The two lane departure systems used different alerting mechanisms. One provided an auditory alert, while the other activated haptic stimulation through the steering wheel. Results show that both systems trigger an increase of steering wheel movement following an alert, with some evidence for, on average, a faster response to the system with the haptic alert. There was also a significant difference in the frequency of alerts between the systems. Results suggest the need for further work focused on developing a more comprehensive understanding of the effectiveness of various implementations of these potentially lifesaving warning systems under field conditions.

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Cited By

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Wang FChang CIgarashi T(2023)Direct or Indirect: A Video Experiment for In-vehicle Alert SystemsHCI in Mobility, Transport, and Automotive Systems10.1007/978-3-031-35908-8_17(245-259)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35908-8_17
Akhmetov TVarol H(2022)An Augmented Reality-Based Warning System for Enhanced Safety in Industrial SettingsIEEE Transactions on Industrial Informatics10.1109/TII.2022.3216009(1-12)Online publication date: 2022
https://doi.org/10.1109/TII.2022.3216009
Graf GPalleis HHussmann H(2020)A Design Space for Advanced Visual Interfaces for Teleoperated Autonomous VehiclesProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399942(1-3)Online publication date: 28-Sep-2020
https://dl.acm.org/doi/10.1145/3399715.3399942
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Index Terms

An on-road study involving two vehicles: observed differences between an auditory and haptic lane departure warning system
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information & Contributors

Information

Published In

AutomotiveUI '15: Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2015

172 pages

ISBN:9781450338585

DOI:10.1145/2809730

General Chair:
Gary Burnett
University of Nottingham, UK
,
Program Chairs:
Joe Gabbard
Virginia Tech
,
Paul Green
University of Michigan Transportation Research Institute (UMTRI)
,
Sebastian Osswald
Technische Universitat Munchen (TUM), Germany
,
Bastian Pfleging,
Andrew Kun,
Publications Chairs:
Ayse Eren,
Vicki Antrobus

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2015

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Poster

Funding Sources

Toyota Class Action Settlement Safety Research and Education Program
Toyota Collaborative Safety Research Center
U.S. Department of Transportation

Conference

AutomotiveUI '15

AutomotiveUI '15: The 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 1 - 3, 2015

Nottingham, United Kingdom

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

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Wang FChang CIgarashi T(2023)Direct or Indirect: A Video Experiment for In-vehicle Alert SystemsHCI in Mobility, Transport, and Automotive Systems10.1007/978-3-031-35908-8_17(245-259)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35908-8_17
Akhmetov TVarol H(2022)An Augmented Reality-Based Warning System for Enhanced Safety in Industrial SettingsIEEE Transactions on Industrial Informatics10.1109/TII.2022.3216009(1-12)Online publication date: 2022
https://doi.org/10.1109/TII.2022.3216009
Graf GPalleis HHussmann H(2020)A Design Space for Advanced Visual Interfaces for Teleoperated Autonomous VehiclesProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399942(1-3)Online publication date: 28-Sep-2020
https://dl.acm.org/doi/10.1145/3399715.3399942
Abraham HReimer BMehler B(2017)Advanced Driver Assistance Systems (ADAS): A Consideration of Driver Perceptions on Training, Usage & ImplementationProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/154193121360196761:1(1954-1958)Online publication date: 20-Oct-2017
https://doi.org/10.1177/1541931213601967
McWilliams TBrown DReimer BMehler BDobres J(2016)Observed Differences in Lane Departure Warning Responses during Single-Task and Dual-Task Driving: A Secondary Analysis of Field Driving DataSAE Technical Paper Series10.4271/2016-01-1425Online publication date: 5-Apr-2016
https://doi.org/10.4271/2016-01-1425

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A robust lane detection and verification method for intelligent vehicles

Development of a Vision-Based Driver Assistance System with Lane Departure Warning and Forward Collision Warning Functions

A Robust Lane Detection and Verification Method for Intelligent Vehicles