skip to main content
10.1145/3152771.3152785acmotherconferencesArticle/Chapter ViewAbstractPublication PagesozchiConference Proceedingsconference-collections
research-article

Towards optimization of mid-air gestures for in-vehicle interactions

Published:28 November 2017Publication History

ABSTRACT

A mid-air gesture-based interface could provide a less cumbersome in-vehicle interface for a safer driving experience. Despite the recent developments in gesture-driven technologies facilitating the multi-touch and mid-air gestures, interface safety requirements as well as an evaluation of gesture characteristics and functions, need to be explored. This paper describes an optimization study on the previously developed GestDrive gesture vocabulary for in-vehicle secondary tasks. We investigate mid-air gestures and secondary tasks, their correlation, confusions, unintentional inputs and consequential safety risks. Building upon a statistical analysis, the results provide an optimized taxonomy break-down for a user-centered gestural interface design which considers user preferences, requirements, performance, and safety issues.

References

  1. Victor, T., Rothoff, M., Coelingh, E., Ödblom, A. and Burgdorf, K. 2017. When Autonomous Vehicles Are Introduced on a Larger Scale in the Road Transport System: The Drive Me Project. Springer, City.Google ScholarGoogle Scholar
  2. Yale, S. H., Hansotia, P., Knapp, D. and Ehrfurth. 2003. J. Neurologic conditions: assessing medical fitness to drive. Clinical medicine & research, 1, 3, 177--188.Google ScholarGoogle Scholar
  3. Harms, L. 1986. Drivers' attentional responses to environmental variations: A dual-task real traffic study. Vision in vehicles, 131--138.Google ScholarGoogle Scholar
  4. Rakauskas, M. E., Gugerty, L. J. and Ward, N. J. 2004. Effects of naturalistic cell phone conversations on driving performance. Journal of safety research, 35, 4, 453--464.Google ScholarGoogle ScholarCross RefCross Ref
  5. Drews, F. A., Yazdani, H., Godfrey, C. N., Cooper, J. M. and Strayer, D. L. 2009. Text messaging during simulated driving. Human Factors: The Journal of the Human Factors and Ergonomics Society.Google ScholarGoogle ScholarCross RefCross Ref
  6. Dingus, T. A., Hulse, M. C., Antin, J. F. and Wierwille, W. W. 1989. Attentional demand requirements of an automobile moving-map navigation system. Transportation Research Part A: General, 23, 4, 301--315.Google ScholarGoogle ScholarCross RefCross Ref
  7. Tchankue, P., Vogts, D. and Wesson, J. 2010. Design and evaluation of a multimodal interface for in-car communication systems. In Proceedings of the Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists, Bela Bela, South Africa. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Riener, A. Gestural interaction in vehicular applications. Computer, 4 (2012), 42--47. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Sterkenburg, J., Johnson, J., Landry, S. and Jeon, M. 2016. Development Tool for Rapid Evaluation of Eyes-free In-vehicle Gesture Controls.Google ScholarGoogle Scholar
  10. Jamson, A. H., Westerman, S. J., Hockey, G. R. J. and Carsten, O. M. 2004. Speech-based e-mail and driver behavior: Effects of an in-vehicle message system interface. Human Factors: The Journal of the Human Factors and Ergonomics Society, 46, 4, 625--639.Google ScholarGoogle ScholarCross RefCross Ref
  11. Goodman, M. J., Tijerina, L., Bents, F. D. and Wierwille, W. W. 1999. Using cellular telephones in vehicles: Safe or unsafe? Transportation Human Factors, 1, 1, 3--42.Google ScholarGoogle ScholarCross RefCross Ref
  12. Jahani, H., Alyamani, H. J., Kavakli, M., Dey, A. and Billinghurst, M. 2017. User Evaluation of Hand Gestures for Designing an Intelligent In-Vehicle Interface. Springer.Google ScholarGoogle Scholar
  13. Ruikar, M. 2014 National statistics of road traffic accidents in India. Journal of Orthopedics, Traumatology and Rehabilitation, 6, 1, 1.Google ScholarGoogle ScholarCross RefCross Ref
  14. Bonin-Font, F., Ortiz, A. and Oliver, G. 2008. Visual navigation for mobile robots: A survey. Journal of intelligent and robotic systems, 53, 3, 263. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Lin, S.-p. and Maxemchuk, N. F. 2016. The fail-safe operation of collaborative driving systems. Journal of Intelligent Transportation Systems, 20, 1, 88--101.Google ScholarGoogle ScholarCross RefCross Ref
  16. Velez, G. and Otaegui, O. 2016. Embedding vision-based advanced driver assistance systems: a survey. IET Intelligent Transport Systems.Google ScholarGoogle Scholar
  17. Jahani-Fariman, 2017. H. Developing a User-defined Interface for In-vehicle Mid-air Gestural Interactions. In Proceedings of the Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion Limassol, Cyprus. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Normark, C. J., Tretten, P. and Gärling, A. 2009. Do redundant head-up and head-down display configurations cause distractions.Google ScholarGoogle Scholar
  19. Metz, B., Landau, A. and Just, M. 2009. Frequency of secondary tasks in driving-Results from naturalistic driving data. Safety science, 68, 195--203.Google ScholarGoogle Scholar
  20. Sterkenburg, J., Landry, S., Jeon, M. and Johnson, J. 2016. Towards an In-vehicle Sonically-enhanced Gesture Control Interface: A Pilot Study. International Community on Auditory Display.Google ScholarGoogle Scholar
  21. Ohn-Bar, E. and Trivedi, M. M. 2009. Hand gesture recognition in real time for automotive interfaces: A multimodal vision-based approach and evaluations. IEEE transactions on intelligent transportation systems, 15, 6, 2368--2377.Google ScholarGoogle Scholar
  22. Terken, J., Levy, P., Wang, C., Karjanto, J., Yusof, N. M., Ros, F. and Zwaan, S. 2017. Gesture-based and haptic interfaces for connected and autonomous driving. Springer.Google ScholarGoogle Scholar
  23. May, K. R., Gable, T. M. and Walker, B. N. 2014. A Multimodal Air Gesture Interface for In Vehicle Menu Navigation. In Proceedings of the Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Seattle, WA, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Stern, H. I., Wachs, J. P. and Edan, Y. 2008. Optimal consensus intuitive hand gesture vocabulary design. IEEE.Google ScholarGoogle Scholar
  25. Stern, H., Wachs, J. and Edan, Y. 2007. A method for selection of optimal hand gesture vocabularies. Springer.Google ScholarGoogle Scholar
  26. Nielsen, M., Störring, M., Moeslund, T. B. and Granum, E. 2004. A procedure for developing intuitive and ergonomic gesture interfaces for HCI. Springer.Google ScholarGoogle Scholar
  27. Fariman, H. J., Alyamani, H. J., Kavakli, M. and Hamey, L. 2016. Designing a user-defined gesture vocabulary for an in-vehicle climate control system.Google ScholarGoogle Scholar

Index Terms

  1. Towards optimization of mid-air gestures for in-vehicle interactions

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        OzCHI '17: Proceedings of the 29th Australian Conference on Computer-Human Interaction
        November 2017
        678 pages
        ISBN:9781450353793
        DOI:10.1145/3152771

        Copyright © 2017 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]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 28 November 2017

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        OzCHI '17 Paper Acceptance Rate74of157submissions,47%Overall Acceptance Rate362of729submissions,50%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader