Work in Progress

HMI-testing for (non-) automated vehicles in urban connected mixed traffic: cooperative lane change

Authors:

Sabine Springer,

Isabel Neumann,

Bettina Kämpfe,

Tina Morgenstern,

Josef F. Krems,

Franziska Schmalfuß,

Alexander JungmannAuthors Info & Claims

AutomotiveUI '19: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings

Pages 271 - 276

https://doi.org/10.1145/3349263.3351517

Published: 21 September 2019 Publication History

Abstract

Lane changing actions in urban traffic can be highly risky. Drivers need to choose gaps in traffic flow adequately and synchronize their driving behavior with directly surrounding vehicles. Especially in urgent cases such as an approaching emergency vehicle, successful and safe lane changes are of high value. Automating vehicles as well as the use of innovative communication technologies could reduce this potential hazard, as advanced vehicles will be able to cooperate and negotiate maneuvers efficiently. Making these processes transparent and comprehensible to the driver is not only inevitable for the acceptance of these innovations, but in consequence also for establishing a safer and more efficient traffic. For this purpose, two different human machine interface (HMI) concepts for users of highly automated connected vehicles as well as for non-automated connected vehicles have been developed and evaluated w.r.t. usability aspects, acceptability and subjective workload.

References

[1]

Samer Ammoun, Fawzi Nashashibi, and Claude Laurgeau. 2007. An analysis of the lane changing manoeuvre on roads: the contribution of inter-vehicle cooperation via communication. Intelligent Vehicles Symposium, Istanbul, 13--15 June 2007: 1095--1100.

[2]

Michael Behrisch, Laura Bieker, Jakob Erdmann, and Daniel Krajzewicz. 2011. SUMO-simulation of urban mobility: an overview. In Proceedings of SIMUL 2011, The Third International Conference on Advances in System Simulation. ThinkMind.

[3]

John Brooke. 1996. SUS-A quick and dirty usability scale. Usability evaluation in industry 189, 194: 4--7.

[4]

DIN EN ISO 9241-210. 2011. Prozess zur Gestaltung gebrauchstauglicher interaktiver Systeme. Standard, ISO.

[5]

Sandra G. Hart. 2006. NASA-task load index (NASA-TLX); 20 years later. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 50, 9: 904--908.

[6]

Andrea Hölzel. 2008. Unterscheidung von formeller und informeller Kommunikation im Straßenverkehr. Diploma thesis. Vienna University, Vienna, Austria.

[7]

Jeamin Koo, Jungsuk Kwac, Wendy Ju, Martin Steinert, Larry Leifer, and Clifford Nass. 2015. Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance. International Journal on Interactive Design and Manufacturing (IJIDeM) 9: 269--275.

[8]

Tobias Lagström and Victor M. Lundgren. 2015. AVIP - Autonomous vehicles' interaction with pedestrians. An investigation of pedestrian-driver communication and development of a vehicle external interface. Master Thesis. Chalmers University of Technology, Gothenberg, Sweden.

[9]

André Leschke and Florian Weinert. 2016. Car2X-Kommunikation als Grundlage für Effizienz-und Assistenzfunktionen für den Verkehr der Zukunft. In: Automobil Symposium Wildau.

[10]

Morten Moshagen and Meinald T. Thielsch. 2010. Facets of visual aesthetics. International Journal of Human-Computer Studies 68, 10: 689--709.

Digital Library

[11]

Janni Nielsen, Torkil Clemmensen, and Carsten Yssing. 2002. Getting access to what goes on in people's heads?: reflections on the think-aloud technique. In Proceedings of the second Nordic conference on Human-computer interaction (ACM), 101--110.

Digital Library

[12]

Don Norman. 2013. The design of everyday things: Revised and expanded edition. Basic books.

[13]

SAE. 2014. Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems. SAE Standard J3016, USA.

[14]

Martin Schrepp, Andreas Hinderks, and Jörg Thomaschewski. 2017. Design and evaluation of a short version of the user experience questionnaire (UEQ-S). International Journal of Interactive Multimedia and Artificial Intelligence 4, 6: 103--108.

[15]

Sabine Springer, Cornelia Schmidt, and Franziska Schmalfuß. 2018. Informationsbedarf von Nutzern konventioneller, vernetzter und automatisierter, vernetzter Fahrzeuge im urbanen Mischverkehr. In VDI, editor, Fahrerassistenzsysteme und automatisiertes Fahren 2018 (VDI Berichte 2335), 391--406. VDI-Verlag GmbH, Düsseldorf.

[16]

Neville A. Stanton, Mark S. Young. 1998. Vehicle automation and driving performance. Ergonomics 41, 7: 1014--1028.

[17]

Systems Technology. n.d. STISIM Drive - Scenario Definition Language (SDL). Retrieved 20 June 2019 from http://web.mit.edu/16.400/www/auto_sim/Help/SDL.htm

[18]

Jinke D. van der Laan, Adriaan Heino, and Dick de Waard. 1997. A simple procedure for the assessment of acceptance of advanced transport telematics. Transportation Research Part C: Emerging Technologies 5, 1: 1--10.

Cited By

Driesen-Micklitz TFellmann MRocker C(2022)Individual Traffic Information Preferences in User Interfaces for Automated Driving - A Driving Simulator Study2022 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV51971.2022.9827177(729-733)Online publication date: 5-Jun-2022
https://doi.org/10.1109/IV51971.2022.9827177

Index Terms

HMI-testing for (non-) automated vehicles in urban connected mixed traffic: cooperative lane change
1. Human-centered computing
  1. Interaction design

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Information

Published In

cover image ACM Conferences

AutomotiveUI '19: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings

September 2019

524 pages

ISBN:9781450369206

DOI:10.1145/3349263

General Chairs:
Christian P. Janssen
Utrecht University, The Netherlands
,
Stella F. Donker
Utrecht University, The Netherlands
,
Program Chairs:
Lewis L. Chuang
LMU Munich, Germany
,
Wendy Ju
Cornell Tech

Copyright © 2019 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.

Sponsors

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: 21 September 2019

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Funding Sources

BMVI-funding guideline ?Autonomous connected driving on digital testbeds in Germany?

Conference

AutomotiveUI '19

Sponsor:

SIGCHI

AutomotiveUI '19: 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 21 - 25, 2019

Utrecht, Netherlands

Acceptance Rates

Overall Acceptance Rate 248 of 566 submissions, 44%

Upcoming Conference

AutomotiveUI '25

Sponsor:
sigchi

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

September 21 - 25, 2025

Brisbane , QLD , Australia

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Cited By

Driesen-Micklitz TFellmann MRocker C(2022)Individual Traffic Information Preferences in User Interfaces for Automated Driving - A Driving Simulator Study2022 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV51971.2022.9827177(729-733)Online publication date: 5-Jun-2022
https://doi.org/10.1109/IV51971.2022.9827177

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