DARA: Assisting Drivers to Reflect on How They Hold the Steering Wheel

Dimitrios Raptis, Joakim Iversen, Tobias H. Mølbak, Mikael Skov

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)
347 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationNordiCHI 2018 : Revisiting the Life Cycle - Proceedings of the 10th Nordic Conference on Human-Computer Interaction
Number of pages12
Publication date29 Sept 2018
Pages1-12
ISBN (Electronic)978-1-4503-6437-9
DOIs
Publication statusPublished - 29 Sept 2018
EventNordiCHI 2018 - Oslo, Norway
Duration: 1 Oct 20183 Oct 2018

Conference

ConferenceNordiCHI 2018
Country/TerritoryNorway
CityOslo
Period01/10/201803/10/2018

Keywords

  • Awareness
  • Driving
  • Feedback
  • Hand Recognition
  • Machine Learning
  • Reflection

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