skip to main content
10.1145/3122986.3122992acmconferencesArticle/Chapter ViewAbstractPublication PagesautomotiveuiConference Proceedingsconference-collections
research-article

Ambient Light and its Influence on Driving Experience

Published: 24 September 2017 Publication History

Abstract

In modern traffic, measures are implemented to regulate speeding, which may annoy drivers who pursue an exciting driving experience and make them exceed speed limits. Others prefer a more relaxing experience resulting in socially desired driving behavior. This paper presents a study investigating the capacity of ambient light to alter the perception of speed and therefore influence the driving experience. The aim of this study was to determine how different drivers experience the concept of an ambient light moving along the a-pillar inside the vehicle. In different conditions, the light moved at different speeds. The outcomes of the study show that overall the ambient light used in this study had a positive effect on the driving experience but that the attitude towards the ambient light was highly individual. The majority indicated a preference towards the ambient light while some saw it more as a distraction or even inducing more stress.

References

[1]
Robert B. Cialdini. 2001. Influence, Science and Practice. Allyn & Bacon, Boston.
[2]
Kai Eckoldt, Martin Knobel, Marc Hassenzahl, and Josef Schumann. 2012. An Experiential Perspective on Advanced Driver Assistance Systems. it - Information Technology 54: 165--171.
[3]
P.A. Hancock and Raja Parasuraman. 1992. Human factors and safety in the design of intelligent vehicle-highway systems (IVHS). Journal of Safety Research 23, 4: 181--198.
[4]
Hanneke Hooft van Huysduynen, Jacques Terken, Jean Bernard Martens, and Berry Eggen. 2015. Measuring driving styles: a validation of the multidimensional driving style inventory. In Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI '15, 257--264.
[5]
Maurits Kaptein, Boris De Ruyter, Panos Markopoulos, and Emile Aarts. 2012. Adaptive Persuasive Systems: A Study of Tailored Persuasive Text Messages to Reduce Snacking. ACM Transactions on Interactive Intelligent Systems 2, 2: 1--25.
[6]
Bettina Laugwitz, Theo Held, and Martin Schrepp. 2008. Construction and Evaluation of a User Experience Questionnaire. In HCI and Usability for Education and Work. USAB 2008. Lecture Notes in Computer Science, Andreas Holzinger (ed.). Springer Berlin Heidelberg, Berlin, Heidelberg, 63--76.
[7]
Andreas Löcken, Wilko Heuten, and Susanne Boll. 2015. Supporting lane change decisions with ambient light. In Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI '15, 204--211.
[8]
Andreas Löcken, Heiko Müller, Wilko Heuten, and Susanne Boll. 2014. "Should I stay or should I go?" In Proceedings of the 8th Nordic Conference on Human-Computer Interaction Fun, Fast, Foundational - NordiCHI '14, 1031--1034.
[9]
Michael Manser and Peter Hancock. 2007. The influence of perceptual speed regulation on speed perception, choice, and control: Tunnel wall characteristics and influences. Accident Analysis & Prevention 39, 1: 69--78.
[10]
Tara Matthews, Anind K. Dey, Jennifer Mankoff, Scott Carter, and Tye Rattenbury. 2004. A toolkit for managing user attention in peripheral displays. In Proceedings of the 17th annual ACM symposium on User interface software and technology - UIST '04, 247.
[11]
Andrii Matviienko, Andreas Löcken, Abdallah El Ali, Wilko Heuten, and Susanne Boll. 2016. NaviLight. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services - MobileHCI '16, 283--294.
[12]
Alexander Meschtscherjakov, Christine Döttlinger, Christina Rödel, and Manfred Tscheligi. 2015. ChaseLight: ambient LED stripes to control driving speed. In Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI '15, 212--219.
[13]
Günther Nirschl. 2007. Human-Centered Development of Advanced Driver Assistance Systems. In Human Interface and the Management of Information. Interacting in Information Environments, Michael J. Smith and Gavriel Salvendy (eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 1088--1097.
[14]
Jean-François Petiot, Bjørn G. Kristensen, and Anja M. Maier. 2013. How Should an Electric Vehicle Sound? User and Expert Perception. In Volume 5: 25th International Conference on Design Theory and Methodology; ASME 2013 Power Transmission and Gearing Conference.
[15]
Wouter J Schakel, Bart Van Arem, and Bart D Netten. 2010. Effects of Cooperative Adaptive Cruise Control on Traffic Flow Stability. Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on, Idm: 759--764.
[16]
Ronald Schroeter, Jim Oxtoby, and Daniel Johnson. 2014. AR and Gamification Concepts to Reduce Driver Boredom and Risk Taking Behaviours. In Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI '14, 1--8.
[17]
Orit Taubman-Ben-Ari and Dalia Yehiel. 2012. Driving styles and their associations with personality and motivation. Accident Analysis and Prevention 45: 416--422.
[18]
Dick de Waard, Maaike Jessurun, Frank J.J.M Steyvers, Peter T.F. Reggatt, and Karel A. Brookhuis. 1995. Effect of road layout and road environment on driving performance, drivers' physiology and road appreciation. Ergonomics 38, 7: 1395--1407.
[19]
OpenDS - Home. Retrieved July 14, 2017 from https://www.opends.eu/home

Cited By

View all
  • (2024)Visual NudgeビジュアルナッジJournal of the Robotics Society of Japan10.7210/jrsj.42.11742:2(117-122)Online publication date: 2024
  • (2024)Effects of Uncertain Trajectory Prediction Visualization in Highly Automated Vehicles on Trust, Situation Awareness, and Cognitive LoadProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314087:4(1-23)Online publication date: 12-Jan-2024
  • (2024)From Slow-Mo to Ludicrous Speed: Comfortably Manipulating the Perception of Linear In-Car VR Motion Through Vehicular Translational Gain and AttenuationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642298(1-20)Online publication date: 11-May-2024
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
AutomotiveUI '17: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
September 2017
317 pages
ISBN:9781450351508
DOI:10.1145/3122986
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2017

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Speeding
  2. ambient light
  3. driver behavior
  4. driving experience
  5. light system
  6. risky driver

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

AutomotiveUI '17
Sponsor:

Acceptance Rates

AutomotiveUI '17 Paper Acceptance Rate 29 of 85 submissions, 34%;
Overall Acceptance Rate 248 of 566 submissions, 44%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)45
  • Downloads (Last 6 weeks)9
Reflects downloads up to 10 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Visual NudgeビジュアルナッジJournal of the Robotics Society of Japan10.7210/jrsj.42.11742:2(117-122)Online publication date: 2024
  • (2024)Effects of Uncertain Trajectory Prediction Visualization in Highly Automated Vehicles on Trust, Situation Awareness, and Cognitive LoadProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314087:4(1-23)Online publication date: 12-Jan-2024
  • (2024)From Slow-Mo to Ludicrous Speed: Comfortably Manipulating the Perception of Linear In-Car VR Motion Through Vehicular Translational Gain and AttenuationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642298(1-20)Online publication date: 11-May-2024
  • (2023)Is Users’ Trust during Automated Driving Different When Using an Ambient Light HMI, Compared to an Auditory HMI?Information10.3390/info1405026014:5(260)Online publication date: 27-Apr-2023
  • (2023)Will visual cues help alleviating motion sickness in automated cars? A review articleErgonomics10.1080/00140139.2023.228618767:6(772-800)Online publication date: 24-Nov-2023
  • (2022)Evidence for Human-Centric In-Vehicle Lighting: Part 1Applied Sciences10.3390/app1202055212:2(552)Online publication date: 6-Jan-2022
  • (2022)Effects of Dynamic Visual Stimuli on the Development of Carsickness in Real DrivingIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.312883423:5(4833-4842)Online publication date: May-2022
  • (2021)A Journey Through Nature: Exploring Virtual Restorative Environments as a Means to Relax in Confined SpacesProceedings of the 13th Conference on Creativity and Cognition10.1145/3450741.3465248(1-9)Online publication date: 22-Jun-2021
  • (2021)Improvement of Autonomous Vehicles Trust Through Synesthetic-Based Multimodal InteractionIEEE Access10.1109/ACCESS.2021.30590719(28213-28223)Online publication date: 2021
  • (2021)Emotional Response to In-Car Dynamic LightingInternational Journal of Automotive Technology10.1007/s12239-021-0093-422:4(1035-1043)Online publication date: 24-Jul-2021
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media