Skip to main content

BeaCON - A Research Framework Towards an Optimal Navigation

  • Conference paper
  • First Online:
Human-Computer Interaction. Human Values and Quality of Life (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12183))

Included in the following conference series:

Abstract

In an optimally integrated HMS (Human Machine System), human must understand the machine as well as the machine must understand the human user. Same principle applies for car NS (Navigation System) which is a human-in-the-loop system. An ideally integrated NS knows how, when and what navigation information must be provided for the user and create minimal interruption for the primary task. To do the same, NS must hold the behavioral models of the user for providing the guidance information in an effective way. A research framework which uses these principles, is needed to create such models as well as for conducting further analysis for the research problem of “Giving the driver adequate navigation information with minimal interruption”. Until now no such research framework exists and because of that further analysis of the mentioned research problem cannot be conducted. In this paper we present the research framework BeaCON: Behavior-and Context-Based Optimal Navigation that enables detailed analysis of this research problem.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Balakrishna, A., Gross, T.: Towards optimum automation of human machine systems for maximum performance. In: Proceedings of the Fifth International Conference on Multimedia, Scientific Information and Visualization for Information Systems and Metrics - MSIVISM 2018, 29–31 January, Las Palmas de Gran Canaria, Spain, pp. 1–14. Blue Herons Editions, Bergamo (2018). ISBN 978.88.96.471.65.4

    Google Scholar 

  2. Balakrishna, A., Gross, T.: Towards optimum integration of human and car navigation system. In: 2019 Proceedings of the Third IEEE International Conference on Electrical, Computer, and Communication Technologies - ICECCT 2019, Coimbatore, India, pp. 189–197. IEEE Computer Society Press, Los Alamitos (2019). ISBN: 978-1-5386-8158-2

    Google Scholar 

  3. Skog, I., Händel, P.: In-car positioning and navigation technologies. IEEE Trans. Intell. Transp. Syst. 10(1), 4–21 (2009)

    Article  Google Scholar 

  4. Driver Distraction Summary, published by European Road Safety Observatory (ERSO) (2018). www.erso.eu

  5. HERE Maps for Life product catalogue, published by HERE Technologies (2015). www.here.com

  6. Witten, I.H., Frank, E., Hall, M.A., Pal, C.J.: Data Mining: Practical Machine Learning Tools and Techniques, 4th edn. Morgan Kaufmann, Burlington (2016)

    Google Scholar 

  7. Brügger, A., Richter, K.-F., Fabrikant, S.I.: How does navigation system behavior influence human behavior? Cogn. Res.: Princ. Implic. 4(1), 5 (2019)

    Article  Google Scholar 

  8. Yoshida, Y., Ohwada, H., Mizoguchi, F., Iwasaki, H.: Classifying cognitive load and driving situation with machine learning. Int. J. Mach. Learn. Comput. 4(3), 210 (2014)

    Article  Google Scholar 

  9. Molnar, C.: Interpretable Machine Learning: A Guide for Making Black Box Models Explainable, 1st edn. GitHub, Lulu, 24 March 2019, eBook, 19 June 2019

    Google Scholar 

  10. National Highway Traffic Safety Administration (NHTSA): A framework for automated driving system testable cases and scenarios, September 2018

    Google Scholar 

  11. Dosovitskiy, A., Ros, G., Codevilla, F., López, A., Koltun, V.: CARLA: An Open Urban Driving Simulator CoRL (2017)

    Google Scholar 

  12. Nakayama, O., Boer, E.R, Nakamura, T., Futami, T.: Development of a steering entropy method for evaluating driver workload, pp. 39–48. Human Factors in Audio Interior Systems, Driving, and Vehicle Seating (SAE-SP-1426). Warrendale (1999)

    Google Scholar 

  13. Ribeiro, M.T., Guestrin, C., Singh, S.: Why should I trust you?: Explaining the predictions of any classifier. In: 22nd ACM SIGKDD International Conference (2016)

    Google Scholar 

  14. Costanza, E., Kunz, A., Fjeld, M.: Mixed reality: a survey. In: Lalanne, D., Kohlas, J. (eds.) Human Machine Interaction. LNCS, vol. 5440, pp. 47–68. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-00437-7_3

    Chapter  Google Scholar 

  15. Amershi, S., et al.: Guidelines for human-AI interaction. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 1919), Glasgow, U.K., 4–9 May 2019, pp. 1–13 (2019)

    Google Scholar 

  16. Bagloee, S.A., Tavana, M., Asadi, M., Oliver, T.: Autonomous vehicles: challenges, opportunities, and future implications for transportation policies. J. Mod. Transp. 24(4), 284–303 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Arun Balakrishna or Tom Gross .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Balakrishna, A., Gross, T. (2020). BeaCON - A Research Framework Towards an Optimal Navigation. In: Kurosu, M. (eds) Human-Computer Interaction. Human Values and Quality of Life. HCII 2020. Lecture Notes in Computer Science(), vol 12183. Springer, Cham. https://doi.org/10.1007/978-3-030-49065-2_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-49065-2_39

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49064-5

  • Online ISBN: 978-3-030-49065-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics