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

  • Authors:
  • Keith J. Oliver;Gary E. Burnett

  • Affiliations:
  • University of Nottingham, UK;University of Nottingham, UK

  • Venue:
  • Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
  • Year:
  • 2008

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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.