poster

User interface considerations to prevent self-driving carsickness

Authors:

Jelte E. BosAuthors Info & Claims

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

Pages 14 - 19

https://doi.org/10.1145/2809730.2809754

Published: 01 September 2015 Publication History

Abstract

Self-driving cars have the potential to bring significant benefits to drivers and society at large. However, all envisaged scenarios are predicted to increase the risk of motion sickness. This will negatively affect user acceptance and uptake and hence negate the benefits of this technology. Here we discuss the impact of the user interface design in particular, focusing on display size, position, and content and the relationship with the degree of sensory conflict and ability to anticipate the future motion trajectory of the vehicle, two key determinants of motion sickness in general. Following initial design recommendations, we provide a research agenda to accelerate our understanding of self-driving cars in the context of the scenarios currently proposed. We conclude that basic perceptual mechanisms need to be considered in the design process whereby self-driving cars cannot simply be thought of as living rooms, offices, or entertainment venues on wheels.

References

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Diels, C., Jelte E. Bos. Self-Driving Carsickness. Applied Ergonomics. (Accepted for publication).

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Bos, J. E. 2004. How motions make people sick such that they perform less: a model based approach. In NATO RTO/AVT-110 Symp. Habitability of Combat and Transport Vehicles: Noise, Vibration and Motion. Prague, CZ, 4-7 October: 27.1--11.

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Le Vine, S., Zolfaghari, A., Polak, J. 2015. The tension between autonomous cars "impacts on intersection level-of-service and their occupants" use of travel time for leisurely or economically-productive activities. In Proceedings of the 94th Annual Meeting of the Transportation Research Board, January 2015.

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Forbes. 2014. Self-Driving Cars Can Be Relaxing, As The Rinspeed XchangE Concept Shows. Retrieved October 29, 2014 from http://www.forbes.com/sites/matthewdepaula/2014/02/28/rinspeed-xchange-concept-has-interiordesigned-for-autonomous-driving/

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Oman, C. M. 1982. A heuristic mathematical model for the dynamics of sensory conflict and motion sickness. Acta Otolaryngol Suppl. 392: 1--44.

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Cited By

Fu ZWu JLiu XYin YZhang Z(2024)A review on motion sickness of autonomous driving vehiclesJournal of Vibroengineering10.21595/jve.2024.2394726:5(1133-1149)Online publication date: 29-Apr-2024
https://doi.org/10.21595/jve.2024.23947
Pereira EMacedo HLisboa ISousa EMachado DSilva ECoelho VArezes PCosta N(2024)Motion sickness countermeasures for autonomous driving: Trends and future directionsTransportation Engineering10.1016/j.treng.2023.10022015(100220)Online publication date: Mar-2024
https://doi.org/10.1016/j.treng.2023.100220
Hong SKim SKong BChoi SYang J(2024)Evaluation of Display Configuration and Seat Orientation Considering Various Automated Driving Situations Using a Vehicle SimulatorInternational Journal of Automotive Technology10.1007/s12239-024-00097-5Online publication date: 20-May-2024
https://doi.org/10.1007/s12239-024-00097-5
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cover image ACM Other conferences

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

Copyright © 2015 Owner/Author.

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.

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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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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

Fu ZWu JLiu XYin YZhang Z(2024)A review on motion sickness of autonomous driving vehiclesJournal of Vibroengineering10.21595/jve.2024.2394726:5(1133-1149)Online publication date: 29-Apr-2024
https://doi.org/10.21595/jve.2024.23947
Pereira EMacedo HLisboa ISousa EMachado DSilva ECoelho VArezes PCosta N(2024)Motion sickness countermeasures for autonomous driving: Trends and future directionsTransportation Engineering10.1016/j.treng.2023.10022015(100220)Online publication date: Mar-2024
https://doi.org/10.1016/j.treng.2023.100220
Hong SKim SKong BChoi SYang J(2024)Evaluation of Display Configuration and Seat Orientation Considering Various Automated Driving Situations Using a Vehicle SimulatorInternational Journal of Automotive Technology10.1007/s12239-024-00097-5Online publication date: 20-May-2024
https://doi.org/10.1007/s12239-024-00097-5
Pöhlmann KLi GMcgill MMarkoff RBrewster S(2023)You spin me right round, baby, right round: Examining the Impact of Multi-Sensory Self-Motion Cues on Motion Sickness During a VR Reading TaskProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580966(1-16)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580966
Emond WBohrmann DZare M(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
https://doi.org/10.1080/00140139.2023.2286187
Li GChung W(2022)Electroencephalogram-Based Approaches for Driver Drowsiness Detection and Management: A ReviewSensors10.3390/s2203110022:3(1100)Online publication date: 31-Jan-2022
https://doi.org/10.3390/s22031100
Henry EBougard CBourdin CBringoux L(2022)Changes in Electroencephalography Activity of Sensory Areas Linked to Car Sickness in Real Driving ConditionsFrontiers in Human Neuroscience10.3389/fnhum.2021.80971415Online publication date: 8-Feb-2022
https://doi.org/10.3389/fnhum.2021.809714
Dandekar AMathis LBerger MPfleging B(2022)How to Display Vehicle Information to Users of Automated Vehicles When Conducting Non-Driving-Related ActivitiesProceedings of the ACM on Human-Computer Interaction10.1145/35467416:MHCI(1-22)Online publication date: 20-Sep-2022
https://dl.acm.org/doi/10.1145/3546741
Bohrmann DBruder ABengler K(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
https://doi.org/10.1109/TITS.2021.3128834
Kirst LErnst BKern ASteinhauser M(2022)The Problem of Motion Sickness and Its Implications for Automated DrivingUser Experience Design in the Era of Automated Driving10.1007/978-3-030-77726-5_6(123-150)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-77726-5_6
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