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Situation Awareness and Motion Sickness in Automated Vehicle Driving Experience: A Preliminary Study of Peripheral Visual Information

Authors:

Juffrizal Bin Karjanto,

Nidzamuddin Md. Yusof,

Alberto MartiniAuthors Info & Claims

AutomotiveUI '17: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct

Pages 57 - 61

https://doi.org/10.1145/3131726.3131745

Published: 24 September 2017 Publication History

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Abstract

Future automated car users are expected to perform non-driving activities when the car is operated in full automated mode. Hence, situation awareness (SA) is expected to decrease whereas chances of motion sickness (MS) to occur have increased as a result of the mismatch between what is felt and seen. In this study, we try to assess the level of SA and MS when users are watching a video and subjected to accelerations produced by automated defensive driving style. A light-based prototype was placed within the users' peripheral field of view to indicate the future direction of the automated car. The experiment was done on a real road condition using a modified instrumented vehicle under the urban driving context. A within-subject design, with and without a prototype, was conducted. The preliminary result (N=10) indicates that higher SA and lower MS with the peripheral visual prototype compare to the controlled condition.

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Dam ASanford CJeon M(2024)Verifying Motion Sickness Induction in Automated Vehicles Using Motion-Based Driving SimulatorsInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2400411(1-19)Online publication date: 11-Sep-2024
https://doi.org/10.1080/10447318.2024.2400411
Mosaferchi SCalifano RNaddeo A(2024)Shed Light on the Path of Human-Machine Interaction in Autonomous Vehicles: Where Did We Come from, Where We Are Going? Part I, State of the ArtDesign Tools and Methods in Industrial Engineering III10.1007/978-3-031-58094-9_33(301-309)Online publication date: 7-May-2024
https://doi.org/10.1007/978-3-031-58094-9_33
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
Show More Cited By

Index Terms

Situation Awareness and Motion Sickness in Automated Vehicle Driving Experience: A Preliminary Study of Peripheral Visual Information
1. General and reference
  1. Cross-computing tools and techniques
    1. Measurement
    2. Performance
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Field studies
    2. Interaction devices
      1. Displays and imagers

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AutomotiveUI '17: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct

September 2017

270 pages

ISBN:9781450351515

DOI:10.1145/3131726

General Chair:
Susanne Boll
University of Oldenburg, Germany
,
Program Chairs:
Andreas Löcken
University of Oldenburg, Germany
,
Ronald Schroeter
Queensland University of Technology, Australia
,
Martin Baumann
Ulm University, Germany
,
Ignacio Alvarez
Intel Corporation, USA
,
Lewis Chuang
Max Planck Institute for Biological Cybernetics Tübingen, Germany
,
Sebastian Feuerstack
Institute for Information Technology, Germany
,
Myounghoon Jeon
Michigan Tech, USA
,
Nora Broy
BMW Group, Germany
,
Hanneke Hooft van Huysduynen
Eindhoven University of Technology, The Netherlands
,
Sebastian Osswald
BMW Group, Germany
,
Publications Chairs:
Ioannis Politis
University of Cambridge, UK
,
David Large
The University of Nottingham, UK

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Published: 24 September 2017

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SIGCHI

AutomotiveUI '17: ACM 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 24 - 27, 2017

Oldenburg, Germany

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AutomotiveUI '17 Paper Acceptance Rate 31 of 51 submissions, 61%;

Overall Acceptance Rate 248 of 566 submissions, 44%

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17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 21 - 25, 2025

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Dam ASanford CJeon M(2024)Verifying Motion Sickness Induction in Automated Vehicles Using Motion-Based Driving SimulatorsInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2400411(1-19)Online publication date: 11-Sep-2024
https://doi.org/10.1080/10447318.2024.2400411
Mosaferchi SCalifano RNaddeo A(2024)Shed Light on the Path of Human-Machine Interaction in Autonomous Vehicles: Where Did We Come from, Where We Are Going? Part I, State of the ArtDesign Tools and Methods in Industrial Engineering III10.1007/978-3-031-58094-9_33(301-309)Online publication date: 7-May-2024
https://doi.org/10.1007/978-3-031-58094-9_33
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
Capallera MAngelini LMeteier QKhaled OMugellini E(2023)Human-Vehicle Interaction to Support Driver's Situation Awareness in Automated Vehicles: A Systematic ReviewIEEE Transactions on Intelligent Vehicles10.1109/TIV.2022.32008268:3(2551-2567)Online publication date: Mar-2023
https://doi.org/10.1109/TIV.2022.3200826
Lim CLee S(2023)The Effects of Degrees of Freedom and Field of View on Motion Sickness in a Virtual Reality ContextInternational Journal of Human–Computer Interaction10.1080/10447318.2023.224162040:19(5884-5896)Online publication date: 6-Aug-2023
https://doi.org/10.1080/10447318.2023.2241620
Xie WHe DWu G(2023)Inducers of motion sickness in vehicles: A systematic review of experimental evidence and meta-analysisTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2023.10.01399(167-188)Online publication date: Nov-2023
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Pöhlmann KLi GDam AWang YWei CBrietzke APapaioannou GJi YJeon M(2022)Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car JourneysAdjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3544999.3550156(157-160)Online publication date: 17-Sep-2022
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Hainich RDrewitz UIhme KLauermann JNiedling MOehl M(2021)Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving SettingInformation10.3390/info1204017612:4(176)Online publication date: 20-Apr-2021
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Yeo DKim GKim SBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Toward Immersive Self-Driving Simulations: Reports from a User Study across Six PlatformsProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376787(1-12)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376787

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Recommendations

Experimental Setup of Motion Sickness and Situation Awareness in Automated Vehicle Riding Experience

The Exploration of Autonomous Vehicle Driving Styles: Preferred Longitudinal, Lateral, and Vertical Accelerations

VR Evaluation of Motion Sickness Solution in Automated Driving

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