Learning-oriented vehicle navigation systems: a preliminary investigation in a driving simulator

ABSTRACT

Vehicle navigation systems aim to reduce the mental workload for drivers by automating elements of the driving task. Concern has been raised, however, that their long-term use may cause unforeseen problems, including suppressing cognitive map development.

A driving simulator study was conducted to discover if this effect could be ameliorated by the use of a novel, learning-oriented, navigation system. The user-interface of this system provided a range of additional features including landmarks, compass bearings and previously driven routes within the visual and auditory guidance instructions.

It was found that the users of the learning-oriented system displayed better memory for driven routes, when compared with those using a basic guidance system. It is also suggested that they had developed a better cognitive map of the area. Glance analysis demonstrated that the learning-oriented system was no more visually demanding than the basic system.

REFERENCES

• 1: Adler, J. L. (2001) Investigating the effects of route guidance and traffic advisories on route choice behaviour, In Transportation Research. Part C, vol. 9, 1--14. New York: Pergamon Press.
• 2: Aginsky, V., Harris, C., Rensink, R. and Beusmans, J. (1997) Two strategies for learning a route in a driving simulator, In Journal of Environmental Psychology 17, 317--331.
• 3: Appleyard, D. A. (1970) Styles and methods of structuring a city. Environment and Behaviour, 2, 100--116.
• 4: Burnett, G. E. and Lee, K. (2005) The effect of vehicle navigation systems on the formation of cognitive maps, In Traffic and Transport Psychology: Theory and Application (pp. 407--418). Elsevier.
• 5: Burnett, G. E. and Porter, J. M. (2002), An empirical evaluation of the use of distance versus landmark information within the Human-Machine Interface to vehicle navigation systems. In D. De Waard, K. A. Brookhuis, C. M. Weikart and A. Tofetti (Eds) Human Factors in Transportation, Communication and the Workplace. Masastrict, The Netherlands: Shaker Publishing (pp. 49--64).
• 6: Eurobarometer report (2007) General public survey on the European Galileo Programme: http://ec.europa.eu/dgs/energy_transport/galileo/documents/d oc/2007_06_04_galileo_eurobarometer_analytical_report_en.pdf (Viewed 31^st January 2008).
• 7: Evans, G. W., Skorpanich, A., Garling, T., Bryant, K. J., and Bresolin, B. (1984) The effects of pathway configuration, landmarks and stress on environmental cognition, Journal of Environmental Psychology, 4, 323--335.
• 8: Golledge, R. G (1999) Wayfinding behavior: cognitive mapping and other spatial processes. Baltimore: Johns Hopkins University Press
• 9: Golledge, R. G., Ruggles, A. J., Pellegrino, J. W and Gale, N. D, (1993) Integrating Route Knowledge in an Unfamiliar Neighborhood: Along and Across Route Experiments, Journal of Environmental Psychology (1993) 13, 293--307.
• 10: Green, P., Levison, W., Paelke, G., and Serafin, C. (1995). Preliminary human factors design guidelines for driver information systems (Tech. Rep. No. FHWA-RD-94-087). Washington, DC: US Government Printing Office.
• 11: Jackson, P. G. (1996) How will route guidance information affect cognitive maps? Journal of Navigation, 49, 178--186.
• 12: Jackson, P. G. (1998) In search of better route guidance instructions, in Ergonomics, vol. 41, no. 7, pp. 1000--1013. London: Taylor and Francis.
• 13: Kitchin, R. M. (1994) Cognitive maps: what are they and why study them? Journal of Environmental Psychology, 14, 1--19.
• 14: Labiale, G. (2001) Visual search and preferences concerning different types of guidance displays. Behaviour and Information Technology, 20, 149--158.
• 15: Philips, B. H. (1999) The role of landmark information in intelligent navigation displays. In Proceedings of the Human Factors and Ergonomics Society 43^rd Annual Meeting (pp. 972--976). Santa Monica, CA: Human Factors and Ergonomics Society.
• 16: Reagan, I., Baldwin, C. L. (2006) Facilitating Route Memory with Auditory Route Guidance Systems Journal of Environmental Psychology 26, 146--155.
• 17: Ross, T., Vaughan, G., Engert, A., Peters, H., Burnett, G. E., and May, A. J. (1995). Human factors guidelines for information presentation by route guidance and navigation systems (DRIVE II V2008 HARDIE, Deliverable 19). Loughborough, UK: HUSAT Research Institute.
• 18: Smiley, A. (2000). Behavioural adaptation, safety, and Intelligent Transportation Systems. Transportation Research Record 1724 (Paper No. 00-1504), 47--51.
• 19: Stern, E., and Leiser, D. (1988). Levels of spatial knowledge and urban travel modelling. Geographical Analysis, 20(2), 140--155.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human factors

Additional Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human information processing
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)
          Subjects: User-centered design; Graphical user interfaces (GUI)

General Terms:
Design, Experimentation, Human Factors

Keywords:
cognitive map, driver distraction, driver workload, satellite navigation, vehicle guidance, vehicle navigation