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An Immersive Virtual Reality System for Semi-autonomous Driving Simulation: A Comparison between Realistic and 6-DoF Controller-based Interaction

Authors:

Daniele Sportillo,

Mehdi Boukhris,

Philippe Fuchs,

Vincent RoussarieAuthors Info & Claims

ICCAE '17: Proceedings of the 9th International Conference on Computer and Automation Engineering

Pages 6 - 10

https://doi.org/10.1145/3057039.3057079

Published: 18 February 2017 Publication History

Abstract

This paper presents a preliminary study of the use of Virtual Reality for the simulation of a particular driving task: the control recovery of a semi-autonomous vehicle by a driver engaged in an attention-demanding secondary activity. In this paper the authors describe a fully immersive simulator for semi-autonomous vehicles and present the pilot study that has been conducted for determining the most appropriate interface to interact with the simulator. The interaction with the simulator is not only limited to the actual car control; it also concerns the execution of a secondary activity which aims to put the driver out of the loop by distracting him/her from the main driving task. This study evaluates the role of a realistic interface and a 6-DoF controller-based interaction on objective and subjective measures. Preliminary results suggest that subjective indicators related to comfort, ease of use and adaptation show a significant difference in favor of realistic interfaces. However, task achievement performances do not provide decisive parameters for determining the most adequate interaction modality.

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Cited By

Gkagiannis KKomninos A(2023)Spatial Multimodal Alert Cues for Virtual Reality Control Environments in Industry 4.0Proceedings of the 2nd International Conference of the ACM Greek SIGCHI Chapter10.1145/3609987.3610003(1-6)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3609987.3610003
Nilsson TRometsch FBecker LDufresne FDemedeiros PGuerra ECasini AVock AGaeremynck FCowley A(2023)Using Virtual Reality to Shape Humanity’s Return to the Moon: Key Takeaways from a Design StudyProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580718(1-16)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580718
Terruzzi SAlbini FMassetti GEtzi RGallace AVallar G(2023)The Neuropsychological Assessment of Unilateral Spatial Neglect Through Computerized and Virtual Reality Tools: A Scoping ReviewNeuropsychology Review10.1007/s11065-023-09586-334:2(363-401)Online publication date: 13-Mar-2023
https://doi.org/10.1007/s11065-023-09586-3
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ICCAE '17: Proceedings of the 9th International Conference on Computer and Automation Engineering

February 2017

365 pages

ISBN:9781450348096

DOI:10.1145/3057039

Copyright © 2017 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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Macquarie U., Austarlia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 February 2017

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French Foundation of Technological Research (ANRT)

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ICCAE '17

ICCAE '17: 9th International Conference on Computer and Automation Engineering

February 18 - 21, 2017

Sydney, Australia

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Cited By

Gkagiannis KKomninos A(2023)Spatial Multimodal Alert Cues for Virtual Reality Control Environments in Industry 4.0Proceedings of the 2nd International Conference of the ACM Greek SIGCHI Chapter10.1145/3609987.3610003(1-6)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3609987.3610003
Nilsson TRometsch FBecker LDufresne FDemedeiros PGuerra ECasini AVock AGaeremynck FCowley A(2023)Using Virtual Reality to Shape Humanity’s Return to the Moon: Key Takeaways from a Design StudyProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580718(1-16)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580718
Terruzzi SAlbini FMassetti GEtzi RGallace AVallar G(2023)The Neuropsychological Assessment of Unilateral Spatial Neglect Through Computerized and Virtual Reality Tools: A Scoping ReviewNeuropsychology Review10.1007/s11065-023-09586-334:2(363-401)Online publication date: 13-Mar-2023
https://doi.org/10.1007/s11065-023-09586-3
Nilsson TRometsch FCasini AGuerra EBecker LTreuer Ade Medeiros PSchnellbaecher HVock ACowley A(2022)Using Virtual Reality to Design and Evaluate a Lunar Lander: The EL3 Case StudyCHI Conference on Human Factors in Computing Systems Extended Abstracts10.1145/3491101.3519775(1-7)Online publication date: 27-Apr-2022
https://dl.acm.org/doi/10.1145/3491101.3519775
Jia WLi LAkhtar ALi ZLiu S(2022)Convolutional Neural Network-Based Occupancy Map Accuracy Improvement for Video-Based Point Cloud CompressionIEEE Transactions on Multimedia10.1109/TMM.2021.307969824(2352-2365)Online publication date: 2022
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Aldea ATinga AVan Zeumeren IVan Nes NAschenbrenner D(2022)Virtual Reality Tool for Human-Machine Interface Evaluation and Development (VRHEAD)2022 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV51971.2022.9827375(151-158)Online publication date: 5-Jun-2022
https://doi.org/10.1109/IV51971.2022.9827375
Jansen RTinga Ade Zwart Rvan der Kint S(2022)Devil in the details: Systematic review of TOR signals in automated driving with a generic classification frameworkTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2022.10.00991(274-328)Online publication date: Nov-2022
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Gomes GFlynn RMurray N(2021)“A Crowdsourcing-based QoE Evaluation of an Immersive VR Autonomous Driving Experience”2021 13th International Conference on Quality of Multimedia Experience (QoMEX)10.1109/QoMEX51781.2021.9465390(25-30)Online publication date: 14-Jun-2021
https://doi.org/10.1109/QoMEX51781.2021.9465390
Jia WLi LLi ZLiu S(2021)Deep Learning Geometry Compression Artifacts Removal for Video-Based Point Cloud CompressionInternational Journal of Computer Vision10.1007/s11263-021-01503-6Online publication date: 16-Aug-2021
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Kourtesis PKorre DCollina SDoumas LMacPherson S(2020)Guidelines for the Development of Immersive Virtual Reality Software for Cognitive Neuroscience and Neuropsychology: The Development of Virtual Reality Everyday Assessment Lab (VR-EAL), a Neuropsychological Test Battery in Immersive Virtual RealityFrontiers in Computer Science10.3389/fcomp.2019.000121Online publication date: 14-Jan-2020
https://doi.org/10.3389/fcomp.2019.00012
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