abstract

CORA, a prototype for a cooperative speech-based on-demand intersection assistant

Authors:

Martin Heckmann,

Nico Steinhardt,

Dorothea KolossaAuthors Info & Claims

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

Pages 483 - 488

https://doi.org/10.1145/3349263.3349599

Published: 21 September 2019 Publication History

Abstract

We present the first speech-based advanced driver assistance prototype. It is based on our previously proposed on-demand communication concept for the interaction between the driver and his or her vehicle. Using this concept, drivers can flexibly activate the system via speech whenever they want to receive assistance. We could show via driver simulator studies that an instantiation of this concept as an intersection assistant, supporting the driver in turning left, was well received by drivers and preferred to an alternative, vision-based system. In this paper, we present a prototype implementation and give details on how we adapted it to the intricacy of urban traffic as well as to the shortcomings of current sensor technology in establishing an adequate environment perception. The accompanying video gives an impression of the interaction between the driver and the system when cooperatively turning left from a subordinate road into crossing traffic.

References

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Dennis Orth, Bram Bolder, Nico Steinhardt, Mark Dunn, Dorothea Kolossa, and Martin Heckmann. 2018. A Speech-based On-demand Intersection Assistant Prototype. In IEEE Intell. Veh. Symp. Proc.

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Dennis Orth, Dorothea Kolossa, and Martin Heckmann. 2017a. Predicting driver left-turn behavior from few training samples using a maximum a posteriori method. In IEEE Conf. Intell. Transp. Syst. Proceedings, ITSC, Vol. 2018-March. IEEE, 1--6.

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Dennis Orth, Nadja Schömig, Christian Mark, Monika Jagiellowicz-Kaufmann, Dorothea Kolossa, and Martin Heckmann. 2017c. Benefits of personalization in the context of a speech-based left-turn assistant. In AutomotiveUI 2017- 9th Int. ACM Conf. Automot. User Interfaces Interact. Veh. Appl. Proc.

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Dennis Orth, Nico Steinhardt, Bram Bolder, Mark Dunn, Dorothea Kolossa, and Martin Heckmann. 2018. Analysis of a Speech-Based Intersection Assistant in Real Urban Traffic. In IEEE Conf. Intell. Transp. Syst. Proceedings, ITSC, Vol. 2018-Novem. 1273--1278.

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Nadja Schoemig, Martin Heckmann, Heiko Wersing, Christian Maag, and Alexandra Neukum. 2018. "Please watch right" - Evaluation of a speech-based on-demand assistance system for urban intersections. Transp. Res. Part F Traffic Psychol. Behav. 54 (2018), 196--210.

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Nadja Schömig, Martin Heckmann, Heiko Wersing, Christian Maag, and Alexandra Neukum. 2016. Assistance-on-demand: A speech-based assistance system for urban intersections. In Adjun. Proc. 8th Int. Conf. Automot. User Interfaces Interact. Veh. Appl.

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Cited By

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
Krefting ITrende AUnni ARieger JLuedtke AFränzle M(2021)Evaluation of graphical human-machine interfaces for turning manoeuvres in automated vehicles13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3473682.3480268(77-80)Online publication date: 9-Sep-2021
https://dl.acm.org/doi/10.1145/3473682.3480268

Index Terms

CORA, a prototype for a cooperative speech-based on-demand intersection assistant
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Natural language interfaces

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Information & Contributors

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.

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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: 21 September 2019

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AutomotiveUI '19

Sponsor:

SIGCHI

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

September 21 - 25, 2019

Utrecht, Netherlands

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

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
Krefting ITrende AUnni ARieger JLuedtke AFränzle M(2021)Evaluation of graphical human-machine interfaces for turning manoeuvres in automated vehicles13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3473682.3480268(77-80)Online publication date: 9-Sep-2021
https://dl.acm.org/doi/10.1145/3473682.3480268

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