Skip to main content
Log in

Collaborative navigation of visually impaired

  • Original Paper
  • Published:
Journal on Multimodal User Interfaces Aims and scope Submit manuscript

Abstract

A navigation system for visually impaired users can be much more efficient if it is based on collaboration among visually impaired persons and on utilising distributed knowledge about the environment in which the navigation task takes place. To design a new system of this kind, it is necessary to make a study of communication among visually impaired users while navigating in a given environment and on their regularly walked routes. A qualitative study was conducted to gain insight into the issue of communication among visually impaired persons while they are navigating in an unknown environment, and our hypotheses were validated by a quantitative study with a sample of 54 visually impaired respondents. A qualitative study was conducted with 20 visually impaired participants aimed at investigating regularly walked routes used by visually impaired persons. The results show that most visually impaired users already collaborate on navigation, and consider an environment description from other visually impaired persons to be adequate for safe and efficient navigation. It seems that the proposed collaborative navigation system is based on the natural behaviour of visually impaired persons. In addition, it has been shown that a network of regularly walked routes can significantly expand the urban area in which visually impaired persons are able to navigate safely and efficiently.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Android (2013) Introducing Android 4.0. http://www.android.com/about/ice-cream-sandwich

  2. Apple (2013) Accessibility—VoiceOver. http://www.apple.com/accessibility/voiceover

  3. Balata J (2011) System supporting tourism of visually impaired people. Master thesis, Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Republic

  4. Baranyi P, Csapó Á (2012) Definition and synergies of cognitive infocommunications. Acta Polytechnica Hungarica 9(1):67–83

    Google Scholar 

  5. Barkhuus L, Rode J (2007) From mice to men—24 years of evaluation in chi. In: Proceedings of the SIGCHI conference on human factors in computing systems. CHI07-Alt. CHI. ACM, New York

  6. BlindSquare (2013) What is BlindSquare. http://blindsquare.com/about

  7. Bradley NA, Dunlop MD (2005) An experimental investigation into wayfinding directions for visually impaired people. Pers Ubiquitous Comput 9(6):395–403

    Article  Google Scholar 

  8. Code Factory (2013) Mobile speak. http://www.codefactory.es/en/products.asp?id=316

  9. DPP (2013) Profil spolecnosti. http://www.dpp.cz/profil-spolecnosti

  10. Eagle N, Pentland A (2006) Reality mining: sensing complex social systems. Pers Ubiquitous Comput 10(4):255–268

    Article  Google Scholar 

  11. Golledge RG, Klatzky RL, Loomis JM (1996) Cognitive mapping and wayfinding by adults without vision. Geoj Libr 32:215–246

    Article  Google Scholar 

  12. GPS (2013) Official U.S. Government information about the global positioning system (GPS) and related topics. http://www.gps.gov

  13. Hunaiti Z, Garaj V, Balachandran W, Cecelja F (2005) Use of remote vision in navigation of visually impaired pedestrians. In: Jones S (ed) International congress series, vol 1282. Elsevier, London, pp 1026–1030

  14. Loadstone GPS (2013) Navigation for blind mobile phone users. http://www.loadstone-gps.com

  15. Microsoft (2013) Kinect for Windows. http://www.microsoft.com/en-us/kinectforwindows

  16. Millar S (1994) Understanding and representing space: theory and evidence from studies with blind and sighted children, vol 198521421. Clarendon Press, Oxford

  17. Millar S (1995) Understanding and representing spatial information. Br J Vis Impair 13(1):8–11

    Google Scholar 

  18. Prochazka O (2011) System for creating text description of route for visually impaired people. Master thesis, Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Republic

  19. Ran L, Helal S, Moore S (2004) Drishti: an integrated indoor/outdoor blind navigation system and service. In: Proceedings of the second IEEE annual conference on pervasive computing and communications (PerCom 2004). IEEE, pp 23–30

  20. SONS (2013) Czech Blind United. http://www.sons.cz

  21. Symbian Foundation (2013) Symbian. http://licensing.symbian.org

  22. Ungar S (2000) Cognitive mapping without visual experience. In: Kitchin R, Freundschuh S (eds) Cognitive mapping: past, present, and future, vol 4. Routledge, London, pp 221–248

    Google Scholar 

  23. Völkel T, Kühn R, Weber G (2008) Mobility impaired pedestrians are not cars: requirements for the annotation of geographical data. In: Miesenberger K, klaus J, Zagler W, Karshmer A (eds) Computers helping people with special needs. Springer, New York, pp 1085–1092

  24. Vystrcil J (2008) User interface for in-door navigation of visually impaired people via mobile phone. Master thesis, Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Republic

  25. WHO (2013) International classification of diseases v. 10. http://apps.who.int/classifications/icd10

  26. Zöllner M, Huber S, Jetter HC, Reiterer H (2011) NAVI—a proof-of-concept of a mobile navigational aid for visually impaired based on the Microsoft Kinect. Springer, New York

    Google Scholar 

Download references

Acknowledgments

This research has been supported by the project Design of special user interfaces funded by Grant No. SGS13/213/OHK3/3T/13 (FIS 161—832130C000) and it has been supported by the Technology Agency of the Czech Republic under the research program TE01020415 (V3C—Visual Computing Competence Center).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jan Balata.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Balata, J., Franc, J., Mikovec, Z. et al. Collaborative navigation of visually impaired. J Multimodal User Interfaces 8, 175–185 (2014). https://doi.org/10.1007/s12193-013-0137-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12193-013-0137-9

Keywords

Navigation