research-article

Early Take-Over Preparation in Stereoscopic 3D

Authors:

Gesa Wiegand,

Christian Mai,

Yuanting Liu,

Heinrich HußmannAuthors Info & Claims

AutomotiveUI '18: Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 142 - 146

https://doi.org/10.1145/3239092.3265957

Published: 23 September 2018 Publication History

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Abstract

Situation awareness in highly automated vehicles can help the driver to get back in the loop during a take-over request (TOR). We propose to present the driver a detailed digital representation of situations causing a TOR via a scaled down digital twin of the highway inside the car. The digital twin virtualizes real time traffic information and is displayed before the actual TOR. In the car cockpit an augmented reality headset or a Stereoscopic 3D (S3D) interface can realize the augmentation. As today's hardware has technical limitations, we build an HMD based mock-up. We conducted a user study (N=20) to assess the driver behavior during a TOR. We found that workload decreases and steering performance raise significantly with the proposed system. We argue that the augmentation of the surrounding world in the car helps to improve performance during TOR due to better awareness of the upcoming situation.

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El-Agamy RSayed HAL Akhatatneh AAljohani MElhosseini M(2024)Comprehensive analysis of digital twins in smart cities: a 4200-paper bibliometric studyArtificial Intelligence Review10.1007/s10462-024-10781-857:6Online publication date: 27-May-2024
https://doi.org/10.1007/s10462-024-10781-8
Wu YYe LZheng XZhu HXiang W(2023)Dangerous Slime: A Game for Improving Situation Awareness in Automated DrivingProceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3580585.3607178(136-144)Online publication date: 18-Sep-2023
https://dl.acm.org/doi/10.1145/3580585.3607178
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
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Index Terms

Early Take-Over Preparation in Stereoscopic 3D
1. Human-centered computing

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AutomotiveUI '18: Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2018

282 pages

ISBN:9781450359474

DOI:10.1145/3239092

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]

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Published: 23 September 2018

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AutomotiveUI '18: 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 23 - 25, 2018

ON, Toronto, Canada

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Overall Acceptance Rate 248 of 566 submissions, 44%

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El-Agamy RSayed HAL Akhatatneh AAljohani MElhosseini M(2024)Comprehensive analysis of digital twins in smart cities: a 4200-paper bibliometric studyArtificial Intelligence Review10.1007/s10462-024-10781-857:6Online publication date: 27-May-2024
https://doi.org/10.1007/s10462-024-10781-8
Wu YYe LZheng XZhu HXiang W(2023)Dangerous Slime: A Game for Improving Situation Awareness in Automated DrivingProceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3580585.3607178(136-144)Online publication date: 18-Sep-2023
https://dl.acm.org/doi/10.1145/3580585.3607178
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
Capallera MMeteier QDe Salis EWidmer MAngelini LCarrino SSonderegger AKhaled OMugellini E(2023)A Contextual Multimodal System for Increasing Situation Awareness and Takeover Quality in Conditionally Automated DrivingIEEE Access10.1109/ACCESS.2023.323681411(5746-5771)Online publication date: 2023
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Jansen PColley MRukzio E(2022)A Design Space for Human Sensor and Actuator Focused In-Vehicle Interaction Based on a Systematic Literature ReviewProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35346176:2(1-51)Online publication date: 7-Jul-2022
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Pirker JLoria ESafikhani SKunz ARosmann S(2022)Immersive Virtual Reality for Virtual and Digital Twins: A Literature Review to Identify State Of The Art and Perspectives2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW55335.2022.00035(114-115)Online publication date: Mar-2022
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Kunz ARosmann SLoria EPirker J(2022)The Potential of Augmented Reality for Digital Twins: A Literature Review2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR51125.2022.00058(389-398)Online publication date: Mar-2022
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Stereoscopic 3D dashboards: An investigation of performance, workload, and gaze behavior during take-overs in semi-autonomous driving

Early ramp warning using vehicle behavior analysis

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Stereoscopic 3D dashboards: An investigation of performance, workload, and gaze behavior during take-overs in semi-autonomous driving

Early ramp warning using vehicle behavior analysis

An early collision warning algorithm for vehicles based on V2V communication

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