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Light my way: visualizing shared gaze in the car

Published:01 September 2015Publication History

ABSTRACT

In demanding driving situations, the front-seat passenger can become a supporter of the driver by, e.g., monitoring the scene or providing hints about upcoming hazards or turning points. A fast and efficient communication of such spatial information can help the driver to react properly, with more foresight. As shown in previous research, this spatial referencing can be facilitated by providing the driver a visualization of the front-seat passenger's gaze. In this paper, we focus on the question how the gaze should be visualized for the driver, taking into account the feasibility of implementation in a real car. We present the results from a driving simulator study, where we compared an LED visualization (glowing LEDs on an LED stripe mounted at the bottom of the windshield, indicating the horizontal position of the gaze) with a visualization of the gaze as a dot in the simulated environment. Our results show that LED visualization comes with benefits with regard to driver distraction but also bears disadvantages with regard to accuracy and control for the front-seat passenger.

References

  1. Susan E. Brennan, Xin Chen, Christopher A. Dickinson, Mark B. Neider, and Gregory J. Zelinsky. 2008. Coordinating cognition: The costs and benefits of shared gaze during collaborative search. Cognition. 106, 3, 1465--1477.Google ScholarGoogle ScholarCross RefCross Ref
  2. Kelly J. Bryden, Judith Charlton, Jennifer Oxley, and Georgia Lowndes. 2014. Older driver and passenger collaboration for wayfinding in unfamiliar areas. International Journal of Behavioral Development. 38, 4, 378--385.Google ScholarGoogle ScholarCross RefCross Ref
  3. Encyclopedia Britannica.http://en.wikisource.org/wiki/1911_Encyclopædia_Britannica/Weber%27s_LawGoogle ScholarGoogle Scholar
  4. Jodi Forlizzi, William C. Barley, and Thomas Seder. 2010. Where should I turn: moving from individual to collaborative navigation strategies to inform the interaction design of future navigation systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1261--1270. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Magdalena Gärtner, Alexander Meschtscherjakov, Bernhard Maurer, David Wilfinger, and Manfred Tscheligi. 2014. "Dad, Stop Crashing My Car!": Making Use of Probing to Inspire the Design of Future In-Car Interfaces. In Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '14), Article 27, 8 pages. http://doi.acm.org/10.1145/2667317.2667348 Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Nicole Gridling, Alexander Meschtscherjakov, and Manfred Tscheligi. 2012. I need help!: exploring collaboration in the car. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion (CSCW '12), 87--90. http://doi.acm.org/10.1145/2141512.2141549 Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Andreas Löcken, Heiko Müller, Wilko Heuten, and Susanne Boll. 2014. "Should I stay or should I go?": Different designs to support drivers' decision making. In Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational (NordiCHI '14), 1031--1034. http://doi.acm.org/10.1145/2639189.2670268 Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Stefan Mattes. 2003. The Lane Change Task as a Tool for Driver Distraction Evaluation. IHRA-ITS Workshop on Driving Simulator Scenarios, http://www.nrd.nhtsa.dot.gov/IHRA/ITS/MATTES.pdfGoogle ScholarGoogle Scholar
  9. Bernhard Maurer, Sandra Trösterer, Magdalena Gärtner, Martin Wuchse, Axel Baumgartner, Alexander Meschtscherjakov, David Wilfinger, and Manfred Tscheligi. 2014. Shared Gaze in the Car: Towards a Better Driver-Passenger Collaboration. In Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '14), 1--6. http://doi.acm.org/10.1145/2667239.2667274 Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Phillip Mayring. 2004. Qualitative content analysis. In A companion to qualitative research, Uwe Flick, Ernst von Kardorff, and Ines Steinke (eds.). SAGE Publications Ltd, London, 266--269.Google ScholarGoogle Scholar
  11. Mohammad M. Moniri, Michael Feld, and Christian Müller. 2012. Personalized In-Vehicle Information Systems: Building an Application Infrastructure for Smart Cars in Smart Spaces. In Proceedings of the 8th International Conference on Intelligent Environments, 379--382. DOI 10.1109/IE.2012.40 Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Mohammad Mehdi Moniri and Christian Müller. 2012. Multimodal reference resolution for mobile spatial interaction in urban environments. In Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '12). 241--248. http://doi.acm.org/10.1145/2390256.2390296 Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Mark B. Neider, Xin Chen, Christopher A. Dickinson, Susan E. Brennan, and Gregory J. Zelinsky. 2010. Coordinating spatial referencing using shared gaze. Psychonomic Bulletin & Review. 17, 5, 718--724.Google ScholarGoogle ScholarCross RefCross Ref
  14. Annie Pauzié. 2008. A method to assess the driver mental workload: The driving activity load index (DALI). IET Intelligent Transport Systems. 2, 4, 315--322.Google ScholarGoogle ScholarCross RefCross Ref
  15. Matthias Pfromm, Stephan Cieler, and Ralph Bruder. 2013. Driver assistance via optical information with spatial reference. In Proceedings of the 16th International IEEE Annual Conference on Intelligent Transportation Systems, 2006--2011.Google ScholarGoogle ScholarCross RefCross Ref
  16. Laura Pomarjanschi, Michael Dorr, and Erhardt Barth. 2012. Gaze guidance reduces the number of collisions with pedestrians in a driving simulator. ACM Trans. Interact. Intell. Syst. 1, 2, Article 8 (January 2012), 14 pages. http://doi.acm.org/10.1145/2070719.2070721 Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Laura Pomarjanschi, Michael Dorr, Peter J. Bex, and Erhardt Barth. 2013. Simple gaze-contingent cues guide eye movements in a realistic driving simulator. In Proceedings of SPIE, Human Vision and Electronic Imaging XVIII, vol. 8651.Google ScholarGoogle ScholarCross RefCross Ref
  18. Sandra Trösterer, Magdalena Gärtner, Martin Wuchse, Bernhard Maurer, Alexander Meschtscherjakov, and Manfred Tscheligi. 2015. Four Eyes See More Than Two: Shared Gaze in the Car. In Proceedings of International Conference on Human-Computer Interaction (INTERACT 2015).Google ScholarGoogle ScholarCross RefCross Ref

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      cover image ACM Other conferences
      AutomotiveUI '15: Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
      September 2015
      338 pages
      ISBN:9781450337366
      DOI:10.1145/2799250

      Copyright © 2015 ACM

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      Publication History

      • Published: 1 September 2015

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      AutomotiveUI '15 Paper Acceptance Rate38of80submissions,48%Overall Acceptance Rate248of566submissions,44%

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