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Scribble Your Way Through Traffic

Authors:

Jacques Terken,

Frank van Valkenhoef,

Stefan BeckmannAuthors Info & Claims

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

Pages 230 - 234

https://doi.org/10.1145/3239092.3267849

Published: 23 September 2018 Publication History

Abstract

Scribble is a haptic Human Machine Interface (HMI) that utilizes a drawing interaction to steer a semi-autonomous vehicle. The interface uses a display and a haptic pointing device that enables the driver to draw a path which represents the vehicle's future trajectory. The objective of Scribble is to blur the lines between who is in control and proposes a more 'muddy' form of interaction where higher decision making is performed by the human operator, whilst the machine manages more mundane driving tasks such as lane keeping and managing speed. We present a fully interactive desktop-based demo that includes a 3D simulation environment for highway driving. The interface has been tested in an elaborate simulation study in collaboration with the Mercedes-Benz Advanced Digital Design team at Daimler AG, Sindelfingen, Germany. The contents of this document describe: the Scribble concept, system setup, demo setup, and contribution.

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Terken, J., Levy, P., Wang, C., Karjanto, J., Yusof, N. M., Ros, F., & Zwaan, S. (2017). Gesture-based and haptic interfaces for connected and autonomous driving. In Advances in Human Factors and System Interactions (pp. 107--115). Springer, Cham.

Cited By

Peintner JEscher BDetjen HManger CRiener A(2024)How to Design Human-Vehicle Cooperation for Automated Driving: A Review of Use Cases, Concepts, and InterfacesMultimodal Technologies and Interaction10.3390/mti80300168:3(16)Online publication date: 26-Feb-2024
https://doi.org/10.3390/mti8030016
Colley MWankmüller BRukzio E(2022)A Systematic Evaluation of Solutions for the Final 100m Challenge of Highly Automated VehiclesProceedings of the ACM on Human-Computer Interaction10.1145/35467136:MHCI(1-19)Online publication date: 20-Sep-2022
https://dl.acm.org/doi/10.1145/3546713
Wang CChu DMartens MKrüGer MWeisswange TJi YJeon M(2022)Hybrid Eyes: Design and Evaluation of the Prediction-Level Cooperative Driving with a Real-World Automated Driving SystemProceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3543174.3546832(274-284)Online publication date: 17-Sep-2022
https://dl.acm.org/doi/10.1145/3543174.3546832
Show More Cited By

Index Terms

Scribble Your Way Through Traffic
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

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

Copyright © 2018 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 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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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: 23 September 2018

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Refereed limited

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AutomotiveUI '18

Sponsor:

SIGCHI

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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Cited By

Peintner JEscher BDetjen HManger CRiener A(2024)How to Design Human-Vehicle Cooperation for Automated Driving: A Review of Use Cases, Concepts, and InterfacesMultimodal Technologies and Interaction10.3390/mti80300168:3(16)Online publication date: 26-Feb-2024
https://doi.org/10.3390/mti8030016
Colley MWankmüller BRukzio E(2022)A Systematic Evaluation of Solutions for the Final 100m Challenge of Highly Automated VehiclesProceedings of the ACM on Human-Computer Interaction10.1145/35467136:MHCI(1-19)Online publication date: 20-Sep-2022
https://dl.acm.org/doi/10.1145/3546713
Wang CChu DMartens MKrüGer MWeisswange TJi YJeon M(2022)Hybrid Eyes: Design and Evaluation of the Prediction-Level Cooperative Driving with a Real-World Automated Driving SystemProceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3543174.3546832(274-284)Online publication date: 17-Sep-2022
https://dl.acm.org/doi/10.1145/3543174.3546832
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
https://dl.acm.org/doi/10.1145/3534617
Detjen HFaltaous SPfleging BGeisler SSchneegass S(2021)How to Increase Automated Vehicles’ Acceptance through In-Vehicle Interaction Design: A ReviewInternational Journal of Human–Computer Interaction10.1080/10447318.2020.186051737:4(308-330)Online publication date: 1-Jan-2021
https://doi.org/10.1080/10447318.2020.1860517

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