research-article

Supporting lane change decisions with ambient light

Authors:

Andreas Löcken,

Susanne BollAuthors Info & Claims

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

Pages 204 - 211

https://doi.org/10.1145/2799250.2799259

Published: 01 September 2015 Publication History

Abstract

The number of assistance systems in cars has been increasing in recent years. While these systems are targeted at supporting the individual driver and his or her safety, they may though compete for the driver's attention, and may demand too much of the driver's cognitive resources. Based on the established multiple resource theory in recent years, the use of different multimodal displays has been investigated that give the driver attention while not overloading sensory channels. In our work, we are looking into peripheral light displays in means to present safety relevant information. In this paper, we present the results of an experiment in which a peripheral light display was used to show the distance to a closing vehicle. The display is an LED stripe, seamlessly integrated into the side door and the dashboard of the car. Two different light patterns were tested in an overtaking scenario in a driving simulator. One pattern encodes the expected time to collision to the left rear car by moving a light source towards the front left corner. The other pattern additionally adapts its brightness to a simplified model of the driver's certainty to get his or her attention in uncertain situations. In contrast to previous works, we did not focus on a warning system but on a decision aid system. We found that using the adaptive pattern led to faster decisions and therefore to a smaller probability of violating safety distances. We believe that this pattern is a good basis for patterns which are fine-tuned to individual drivers as well as better driver models.

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Cited By

Ma JGuo YXu WLi J(2023)Effect of Directional Auditory Takeover Request on Takeover Behavior and Eye Movement in Conditionally Automated DrivingWorld Electric Vehicle Journal10.3390/wevj1403007014:3(70)Online publication date: 9-Mar-2023
https://doi.org/10.3390/wevj14030070
Mirnig AGärtner MWallner VDemir CÖzkan YSypniewski JMeschtscherjakov A(2023)Enlightening mode awarenessPersonal and Ubiquitous Computing10.1007/s00779-023-01781-627:6(2307-2320)Online publication date: 24-Nov-2023
https://doi.org/10.1007/s00779-023-01781-6
Figalová NChuang LPichen JBaumann MPollatos O(2022)Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental WorkloadMultimodal Technologies and Interaction10.3390/mti60900736:9(73)Online publication date: 26-Aug-2022
https://doi.org/10.3390/mti6090073
Show More Cited By

Index Terms

Supporting lane change decisions with ambient light
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Other conferences

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

September 2015

338 pages

ISBN:9781450337366

DOI:10.1145/2799250

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
,
Publications Chairs:
Ayse Eren,
Vicki Antrobus

Copyright © 2015 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 the author(s) 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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2015

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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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AutomotiveUI '15 Paper Acceptance Rate 38 of 80 submissions, 48%;

Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

Ma JGuo YXu WLi J(2023)Effect of Directional Auditory Takeover Request on Takeover Behavior and Eye Movement in Conditionally Automated DrivingWorld Electric Vehicle Journal10.3390/wevj1403007014:3(70)Online publication date: 9-Mar-2023
https://doi.org/10.3390/wevj14030070
Mirnig AGärtner MWallner VDemir CÖzkan YSypniewski JMeschtscherjakov A(2023)Enlightening mode awarenessPersonal and Ubiquitous Computing10.1007/s00779-023-01781-627:6(2307-2320)Online publication date: 24-Nov-2023
https://doi.org/10.1007/s00779-023-01781-6
Figalová NChuang LPichen JBaumann MPollatos O(2022)Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental WorkloadMultimodal Technologies and Interaction10.3390/mti60900736:9(73)Online publication date: 26-Aug-2022
https://doi.org/10.3390/mti6090073
Weirich CLin YKhanh T(2022)Evidence for Human-Centric In-Vehicle Lighting: Part 1Applied Sciences10.3390/app1202055212:2(552)Online publication date: 6-Jan-2022
https://doi.org/10.3390/app12020552
Chen FTerken JChen FTerken J(2022)Human Factors of Automated DrivingAutomotive Interaction Design10.1007/978-981-19-3448-3_16(273-307)Online publication date: 19-Aug-2022
https://doi.org/10.1007/978-981-19-3448-3_16
Colley MKrauss SLanzer MRukzio E(2021)How Should Automated Vehicles Communicate Critical Situations?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34781115:3(1-23)Online publication date: 14-Sep-2021
https://dl.acm.org/doi/10.1145/3478111
Razak SWei TYogarayan SAbdullah MYunus N(2021)In-vehicle Safety Warning System to Facilitate Driver’s Lane Change Decisions2021 IEEE 15th Malaysia International Conference on Communication (MICC)10.1109/MICC53484.2021.9642133(60-64)Online publication date: 1-Dec-2021
https://doi.org/10.1109/MICC53484.2021.9642133
Morales-Alvarez WSipele OLéberon RTadjine HOlaverri-Monreal C(2020)Automated Driving: A Literature Review of the Take over Request in Conditional AutomationElectronics10.3390/electronics91220879:12(2087)Online publication date: 7-Dec-2020
https://doi.org/10.3390/electronics9122087
Meschtscherjakov ADöttlinger CKaiser TTscheligi MBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Chase Lights in the Peripheral ViewProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376203(1-9)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376203
Shah ALin Y(2020)In-Vehicle Lighting and its Application in Automated Vehicles: A Survey2020 Fifth Junior Conference on Lighting (Lighting)10.1109/Lighting47792.2020.9240585(1-4)Online publication date: 24-Sep-2020
https://doi.org/10.1109/Lighting47792.2020.9240585
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