Distributing Attention Between Environment and Navigation System to Increase Spatial Knowledge Acquisition During Assisted Wayfinding

  • Annina BrüggerEmail author
  • Kai-Florian Richter
  • Sara Irina Fabrikant
Conference paper
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


Travelers happily follow the route instructions of their devices when navigating in an unknown environment. Navigation systems focus on route instructions to allow the user to efficiently reach a destination, but their increased use also has negative consequences. We argue that the limitation for spatial knowledge acquisition is grounded in the system’s design, primarily aimed at increasing navigation efficiency. Therefore, we empirically investigate how navigation systems could guide users’ attention to support spatial knowledge acquisition during efficient route following tasks.


Attention guidance Decision making Environmental learning Mobile eye-tracking Pedestrian navigation Spatial cognition 


  1. Brügger A, Richter KF, Fabrikant SI (2016) Walk and learn: an empirical framework for assessing spatial knowledge acquisition during mobile map use. In: International conference on GIScience short paper proceedings, vol 1, no 1Google Scholar
  2. Gardony AL, Brunyé TT, Mahoney CR, Taylor HA (2013) How navigational aids impair spatial memory: evidence for divided attention. Spat Cogn Comput 13(4):319–350Google Scholar
  3. Hirtle SC, Raubal M (2013) Many to many mobile maps. In: Raubal M, Mark DM, Frank AU (eds) Cognitive and linguistic aspects of geographic space: new perspectives on geographic information research. Springer, Berlin, Heidelberg, pp 141–157CrossRefGoogle Scholar
  4. Ishikawa T, Fujiwara H, Imai O, Okabe A (2008) Wayfinding with a GPS-based mobile navigation system: a comparison with maps and direct experience. J Environ Psychol 28(1):74–82CrossRefGoogle Scholar
  5. Karimpur H, Röser F, Hamburger K (2016) Finding the return path: landmark position effects and the influence of perspective. Front Psychol 7:1–16Google Scholar
  6. Kiefer P, Giannopoulos I, Raubal M (2013) Where Am I? Investigating map matching during self-localization with mobile eye tracking in an urban environment. Trans GIS 18(5):660–686CrossRefGoogle Scholar
  7. Klippel A, Hirtle S, Davies C (2010) You-are-here maps: creating spatial awareness through map-like representations. Spat Cogn Comput 10(2–3):83–93Google Scholar
  8. Parush A, Ahuvia S, Erev I (2007) Degradation in spatial knowledge acquisition when using automatic navigation systems. In: Winter S, Duckham M, Kulik L, Kuipers B (eds) Spatial information theory: COSIT 2007. Springer, Berlin, Heidelberg, pp 238–254CrossRefGoogle Scholar
  9. Richter KF (2017) Identifying landmark candidates beyond toy examples. KI - Künstliche Intelligenz 31(2):135–139CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Annina Brügger
    • 1
    Email author
  • Kai-Florian Richter
    • 2
  • Sara Irina Fabrikant
    • 1
  1. 1.Geographic Information Visualization and Analysis (GIVA) Department of GeographyUniversity of ZurichZurichSwitzerland
  2. 2.Department of Computing ScienceUmeå UniversityUmeåSweden

Personalised recommendations