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HMI Strategy – Recommended Action

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UR:BAN Human Factors in Traffic

Part of the book series: ATZ/MTZ-Fachbuch ((ATZMTZ))

Abstract

Recommending assistance systems provide driving recommendations, with the goal to improve driving comfort and/or efficiency. The vehicle sensor system integrates information that is not available for the human drivers. The drivers benefit from the provided information because it increases their knowledge on the current and upcoming driving situation, which allows adaption to the driving behaviour. The chapter provides two empirical approaches to recommending assistance systems as presented in the UR:BAN project. The first part of the chapter includes the development of the HMI strategy of a traffic light assistant as an example for a recommending driver assistance system. The studies covered the development of the visual HMI concept and the investigation of the influence of platoon driving and complex traffic conditions on the evaluation of the assistant. The second part presents studies for the development of a generic, integrative HMI concept for different recommending assistance systems, considering a multimodal selection of HMI components (such as HUD, instrument cluster, and force feedback pedal).

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References

  1. Rittger, L.: Driving Behaviour and Driver Assistance at Traffic Light Intersections. Doctoral Dissertation, University of Wuerzburg, Germany (2015)

    Google Scholar 

  2. Michon, J.A.: A critical view of driver behavior models: What do we know, what should we do. In: Evans, L., Schwing, R.C. (eds.) Human behavior and traffic safety, pp. 485–520. Plenum Press, New York (1985)

    Chapter  Google Scholar 

  3. Tulusan, J., Soi, L., Paefgen, J., Brogle, M., Staake, T.: Eco-efficient feedback technologies: Which eco-feedback types prefer drivers most? Proceedings of the IEEE International Symposium on a World of Wirless, Mobile and Multimedia Networks (WOWMOM), Lucca., pp 1–8 (2011)

    Google Scholar 

  4. Krause, M., Knott, V., Bengler, K.: Traffic Light Assistant – Can take my eyes off of you. In: de Waard, D., Sauer, J., Röttger, S., Kluge, A., Manzey, D., Weikert, C., Toffetti, A., Wiczorek, R., Brookhuis, K., Hoonhout, J. (eds.) Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2013 Annual Conference, pp. 131–148. (2014). ISSN 233-4959 (online). Available from http://hfes-europe.org

    Google Scholar 

  5. Kosch, T., Ehmanns, D.: Entwicklung von Kreuzungsassistenzsystemen und Funktionalitätserweiterungen durch den Einsatz von Kommunikationstechnologien. Proceedings of the 2. Tagung Aktive Sicherheit durch Fahrerassistenz, Munich. (2006)

    Google Scholar 

  6. Thoma, S., Lindberg, T., Klinker, G.: Speed recommendations during traffic light approach: a comparison of different display concepts. In: de Waard, D., Flemisch, F., Lorenz, B., Oberheid, H., Brookhuis, K. (eds.) Proceedings of the Human Factors and Ergonomics Society Europe Chapter Annual Meeting. Braunschweig (2007)

    Google Scholar 

  7. Bär, T., Kohlhaas, R., Zollner, J.M., Scholl, K.U.: Anticipatory driving assistance for energy efficient driving. Proceedings of the 2011 IEEE Forum on Integrated and Sustainable Transportation Systems, Vienna (2011)

    Google Scholar 

  8. Krause, M., Bengler, K.: Traffic Light Assistant – Evaluation of Information Presentation. In: Salvendy, G., Karawowski, W. (eds.) Advances in Human Factors and Ergonomics 2012 Proceedings of the 4th Ahfe Conference. pp. 6786–6795. San Francisco (2012)

    Google Scholar 

  9. Egeth, H.E., Mordkoff, J.T.: Redundancy gain revisited: Evidence for parallel processing of separable dimensions. In: Lochead, G.R., Pomerantz, J.R. (eds.) The perception of structure. American Psychological Association, Washington. D.C. (1991)

    Google Scholar 

  10. Kiesel, A., Miller, J., Ulrich, R.: Systematic biases and Type I error accumulation in tests of the race model inequality. Behav Res Methods 39(3), 539–551 (2007)

    Article  Google Scholar 

  11. Raab, D.H.: Statistical facilitation of simple reaction times. Trans N Y Acad Sci 24(5 Series II), 574–590 (1962)

    Article  Google Scholar 

  12. Wickens, C.D.: Multiple resources and mental workload. Hum Factors 50(3), 449–455 (2008)

    Article  Google Scholar 

  13. AAM: Statement of Principles, Criteria and Verification Procedures on Driver Interactions with Advanced In-Vehicle Information and Communication Systems. Driver Focus-Telematics Working Group (2006)

    Google Scholar 

  14. ISO: Road vehicles – Ergonomic aspects of transport information and control systems – Dialogue management principles and compliance procedures (ISO 15005:2002) (2002)

    Google Scholar 

  15. Cao, Y., Mahr, A., Castronovo, S., Theune, M., Stahl, C., Müller, C.A.: Local danger warnings for drivers: The effect of modality and level of assistance on driver reaction. Proceedings of the 15th international conference on Intelligent user interfaces, Hong Kong. (2010)

    Book  Google Scholar 

  16. Popiv, D., Rommerskirchen, C., Rakic, M., Duschl, M., Bengler, K.: Effects of assistance of anticipatory driving on driver’s behaviour during deceleration phases. Proceedings of the 2nd European Conference on Human Centred Design of Intelligent Transport systems (HUMANIST ’10), Berlin., pp 133–143 (2010)

    Google Scholar 

  17. Sanchez, M., Cano, J.-C., Kim, D.: Predicting traffic lights to improve urban traffic fuel consumption. proceedings of the 6th International Conference on ITS Telecommunications, Chengdu. (2006) doi:10.1109/ITST.2006.288731

    Book  Google Scholar 

  18. Wu, C., Zhao, G., Ou, B.: A fuel economy optimization system with applications in vehicles with human drivers and autonomous vehicles. Transportation Res Part D: Transport Environ 16(7), 515–524 (2011)

    Article  Google Scholar 

  19. Maag, C.: Emerging Phenomena During Driving Interactions. In: Mitleton-Kelly, E. (ed.) Co-evolution of Intelligent Socio-technical Systems. Springer, Heidelberg Berlin (2013)

    Google Scholar 

  20. Liu, B.S.: Association of intersection approach speed with driver characteristics, vehicle type and traffic conditions comparing urban and suburban. Accid Analysis Prev (2006). doi:10.1016/j.aap.2006.07.005

  21. Muehlbacher, D., Rittger, L., Maag, C.: Real vs. Simulated – Does it matter? In: Kenneny, A., Mérienne, F. (eds.) Proceedings of the Driving Simulation Conference Europe 2014, pp. 22.21–22.25, Actes, Paris, France (2014)

    Google Scholar 

  22. Rittger, L., Muehlbacher, D., Kiesel, A.: Compliance to a traffic light assistant: The influence of surrounding traffic and system parameters. Paper presented at the 30. VDI/VW Gemeinschaftstagung Fahrerassistenzsysteme und integrierte Sicherheit, Wolfsburg. pp 91–99 (2014)

    Google Scholar 

  23. Rittger, L., Muehlbacher, D., Maag, C., Kiesel, A.: Anger and bother experience when driving with a traffic light assistant: A multi-driver simulator study. In: de Waard, D., Sauer, J., Röttger, S., Kluge, A., Manzey, D., Weikert, C., Toffetti, A., Wiczorek, R., Brookhuis, K., Hoonhout, J. (eds.) Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2013 Annual Conference, pp. 41–51. (2015). ISSN 233-4959 (online). Available from http://hfes-europe.org

    Google Scholar 

  24. Rittger, L., Eberle, U.: Herausforderungen verkehrlicher Bedingungen für die Umsetzung eines Ampelassistenten und die experimentelle Untersuchung der Auswirkungen auf die Fahrerakzeptanz. UR:BAN Konferenz, Garching. (2016)

    Google Scholar 

  25. Wickens, C.D.: Engineering psychology and human performance, 2nd edn. HarperCollins Publishers, New York (1992)

    Google Scholar 

  26. Götze, M., Bißbort, F., Petermann-Stock, I., Bengler, K.: “A Careful Driver is One Who Looks in Both Directions When He Passes a Red Light” – Increased Demands in Urban Traffic. In: Hutchison, D. (ed.) Lecture Notes in Computer Science. Human Interface and the Management of Information. Information and Knowledge in Applications and Services, pp. 229–240. Springer International Publishing, Cham (2014)

    Google Scholar 

  27. Wittmann, M., Kiss, M., Gugg, P., Steffen, A., Fink, M., Pöppel, E., Kamiya, H.: Effects of display position of a visual in-vehicle task on simulated driving. Appl Ergon 37, 187–199 (2006)

    Article  Google Scholar 

  28. Zell, A., Leone, C., Arcati, A., Schmitt, G.: Aktives Gaspedal als Schnittstelle zum Fahrer. In: Automobiltechnische Zeitschrift (pp. 276–279) (2010)

    Google Scholar 

  29. Götze, M., Bengler, K.: Urban Driving: Where to Present What Types of Information – Comparison of Head-Down and Head-Up Displays. In: Yamamoto, S. (ed.) Lecture Notes in Computer Science. Human Interface and the Management of Information. Information and Knowledge in Context, pp. 190–200. Springer International Publishing, Cham (2015)

    Chapter  Google Scholar 

  30. Hart, S.G., Staveland, L.: Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In: Hancock, P.A., Meshkati, N. (eds.) Human mental workload, pp. 139–183. Elsevier, Amsterdam (1988)

    Chapter  Google Scholar 

  31. Götze, M., Ruff, F., Bengler, K.: Optimal Information Output in Urban Traffic Scenarios: An Evaluation of Different HMI Concepts. Procedia Manuf 3, 739–746 (2015)

    Article  Google Scholar 

  32. Lange, C., Arcati, A., Bubb, H., Bengler, K.: Haptic Gear Shifting Indication: Naturalistic Driving Study for Parametrization, Selection of Variants and to Determine the Potential for Fuel Consumption Reduction. Proceedings 3rd Applied Human Factors and Ergonomics (AHFE) International Conference, Miami, July 2010 (2010)

    Google Scholar 

  33. Breisinger, M.: Anzeigekonzept für Head-Up Displays im Automotive Bereich [HMI Concepts for Head-Up Displays in the Automotive Sector]. Diploma thesis, Ludwig-Maximilians Universität. Munich, Germany: Department Institute for Informatics (2007)

    Google Scholar 

  34. Der, G., Deary, I.J.: Age and sex differences in reaction time in adulthood: Results from the United Kingdom Health and Lifestyle Survey. Psychol Aging 21, 62–73 (2006)

    Article  Google Scholar 

  35. Baumann, M., Keinath, A., Krems, J.F., Bengler, K.: Evaluation of invehicle HMI using occlusion techniques: experimental results and practical implications. Appl Ergon 35, 197–205 (2004)

    Article  Google Scholar 

  36. Gelau, C., Krems, J.F., Henning, M.J.: On the realiability of the occlusion technique as a tool for the assessment of the HMI of in-vehicle information and communication systems. Appl Ergon 40, 181–184 (2009)

    Article  Google Scholar 

  37. van der Horst, R.: Occlusion as a measure for visual workload: an overview of TNO occlusion research in car driving. Appl Ergon 35, 189–196 (2004)

    Article  Google Scholar 

  38. Götze, M., Schweiger, C., Eisner, J., Bengler, K.: Comparison of an old and a new Head-Up Display design concept for urban driving. In: de Waard, D., Brookhuis, K.A., Toffetti, A., Stuiver, A., Weikert, C., Coelho, D., Manzey, D., Ünal, A.B., Röttger, S., Merat, N. (eds.) Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2015 Annual Conference (2016). ISSN 2333–4959 (online). Available from http://hfeseurope.org

    Google Scholar 

  39. Lewis, J.R.: Psychometric Evaluation of the Post-Study System Usability Questionnaire: The PSSUQ. Proc Hum Factors Ergonomics Soc Annu Meet 36, 1259–1263 (1992)

    Article  Google Scholar 

  40. Lewis, J.R.: Psychometric Evaluation of the PSSUQ Using Data from Five Years of Usability Studies. Int J Hum Comput Interact 14, 463–488 (2002)

    Article  Google Scholar 

  41. Brooke, J.: SUS-A quick and dirty usability scale. In: Jordam, P.W., Thomas, B., McClel-land, L.M., Weerdemeester, B. (eds.) Usability evaluation in industry, pp. 189–195. Tayler & Francis, London. (1996)

    Google Scholar 

  42. Bangor, A., Kortum, P., Miller, J.: Determining What Individual SUS Scores Mean: Adding an Adjective Rating Scale. J Usability Stud 4(3), 114–123 (2009)

    Google Scholar 

  43. Götze, M.: Development and Evaluation of an Integrated HMI Concept for Recommending ADAS for Urban Area Scenarios. Doctoral Dissertation, Technical University of Munich, Germany (in press)

    Google Scholar 

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Author information

Authors and Affiliations

  1. EE Advanced Technology, Adam Opel AG, Rüsselsheim am Main, Germany

    Dr. Lena Rittger

  2. Chair of Ergonomics, Technical University of Munich, Munich, Germany

    Dipl.-Ing. Martin Götze

Authors
  1. Dr. Lena Rittger
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  2. Dipl.-Ing. Martin Götze
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Corresponding author

Correspondence to Lena Rittger .

Editor information

Editors and Affiliations

  1. Lehrstuhl für Ergonomie, Technische Universität München, Garching, Bayern, Germany

    Klaus Bengler

  2. Konzernforschung, Volkswagen Aktiengesellschaft , Wolfsburg, Germany

    Julia Drüke

  3. Lehrstuhl für Verkehrstechnik, TU München , München, Germany

    Silja Hoffmann

  4. Human-Machine Interaction, Robert Bosch GmbH , Stuttgart, Germany

    Dietrich Manstetten

  5. Würzburger Institut für Verkehrswissenschaften, Veitshöchheim, Germany

    Alexandra Neukum

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Rittger, L., Götze, M. (2018). HMI Strategy – Recommended Action. In: Bengler, K., Drüke, J., Hoffmann, S., Manstetten, D., Neukum, A. (eds) UR:BAN Human Factors in Traffic. ATZ/MTZ-Fachbuch. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-15418-9_7

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  • DOI: https://doi.org/10.1007/978-3-658-15418-9_7

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  • Publisher Name: Springer Vieweg, Wiesbaden

  • Print ISBN: 978-3-658-15417-2

  • Online ISBN: 978-3-658-15418-9

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