research-article

DARA: assisting drivers to reflect on how they hold the steering wheel

Authors:

Dimitrios Raptis,

Joakim Iversen,

Tobias H. Mølbak,

Mikael B. SkovAuthors Info & Claims

NordiCHI '18: Proceedings of the 10th Nordic Conference on Human-Computer Interaction

Pages 1 - 12

https://doi.org/10.1145/3240167.3240186

Published: 29 September 2018 Publication History

Abstract

This paper presents DARA, the Driving Awareness and Reflection Assistant that makes drivers aware of potentially dangerous practices on how they hold the steering wheel, and helps them reflect. DARA utilizes a hand recognition component and a feedback one. The first recognizes how drivers hold the steering wheel and classifies their actions through a Leap Motion controller and machine learning. The second is comprised by a mobile application that provides drivers with feedback during and after their drive. DARA was evaluated with three studies for its accuracy, relevance and utility. Our findings show that DARA was successful both in making holding patterns present-at-hand for the drivers and in assisting them to reflect. We conclude our paper with a discussion on the broader implication of our findings on in-car hand recognition and feedback systems.

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Cited By

El hafidy ARachad TIdri AZellou A(2021)Gamified Mobile Applications for Improving Driving BehaviorMobile Information Systems10.1155/2021/66770752021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6677075
Khakpour AColomo-Palacios R(2020)Convergence of Gamification and Machine Learning: A Systematic Literature ReviewTechnology, Knowledge and Learning10.1007/s10758-020-09456-426:3(597-636)Online publication date: 12-Jul-2020
https://doi.org/10.1007/s10758-020-09456-4
Sandberg MRehm JMnoucek MReshodko IGundersen O(2020)Explaining Traffic Situations – Architecture of a Virtual Driving InstructorIntelligent Tutoring Systems10.1007/978-3-030-49663-0_15(115-124)Online publication date: 8-Jun-2020
https://dl.acm.org/doi/10.1007/978-3-030-49663-0_15
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cover image ACM Other conferences

NordiCHI '18: Proceedings of the 10th Nordic Conference on Human-Computer Interaction

September 2018

1002 pages

ISBN:9781450364379

DOI:10.1145/3240167

General Chairs:
Tone Bratteteig
University of Oslo
,
Frode Eika Sandnes
Oslo Metropolitan University
,
Publications Chair:
Gerd Berget
Oslo Metropolitan University

Copyright © 2018 ACM.

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Published: 29 September 2018

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NordiCHI'18

NordiCHI'18: Nordic Conference on Human-Computer Interaction

September 29 - October 3, 2018

Oslo, Norway

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NordiCHI '18 Paper Acceptance Rate 59 of 240 submissions, 25%;

Overall Acceptance Rate 379 of 1,572 submissions, 24%

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Cited By

El hafidy ARachad TIdri AZellou A(2021)Gamified Mobile Applications for Improving Driving BehaviorMobile Information Systems10.1155/2021/66770752021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6677075
Khakpour AColomo-Palacios R(2020)Convergence of Gamification and Machine Learning: A Systematic Literature ReviewTechnology, Knowledge and Learning10.1007/s10758-020-09456-426:3(597-636)Online publication date: 12-Jul-2020
https://doi.org/10.1007/s10758-020-09456-4
Sandberg MRehm JMnoucek MReshodko IGundersen O(2020)Explaining Traffic Situations – Architecture of a Virtual Driving InstructorIntelligent Tutoring Systems10.1007/978-3-030-49663-0_15(115-124)Online publication date: 8-Jun-2020
https://dl.acm.org/doi/10.1007/978-3-030-49663-0_15
Carré D(2019)Social Sciences, What for? On the Manifold Directions of Social ResearchSocial Philosophy of Science for the Social Sciences10.1007/978-3-030-33099-6_2(13-29)Online publication date: 12-Dec-2019
https://doi.org/10.1007/978-3-030-33099-6_2
Hald TJunker DMårtensson MSkov MRaptis D(2018)Using Smartwatch Inertial Sensors to Recognize and Distinguish Between Car Drivers and PassengersProceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3239060.3239068(74-84)Online publication date: 23-Sep-2018
https://dl.acm.org/doi/10.1145/3239060.3239068

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