KikuNavi: Real-time pedestrian navigation based on social networking service and collective intelligence

Hikaru Nagasaka*, Makoto Okabe, Rikio Onai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We present KikuNavi, a real-time pedestrian navigation system as a social networking service operating on a mobile phone. A user who becomes lost can use our system to easily find someone (the navigator) who knows how to reach the user's destination. The navigator can sketch the route, which appears on the lost user's mobile phone. The navigator can also choose to lead the user; the lost user's phone displays an arrow pointing toward the navigator. Most existing navigation systems rely on digital maps and GPS geospatial information, but our system is based on the fact that we often become lost in situations when the combination of digital maps and GPS does not work well. Our concept is to support pedestrian navigation even in such an environment by relying on the collective intelligence of people nearby, connected by mobile phones.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2012
Pages193-196
Number of pages4
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2012 - Innsbruck, Austria
Duration: 2012 Sept 302012 Oct 4

Other

Other2012 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2012
Country/TerritoryAustria
CityInnsbruck
Period12/9/3012/10/4

Keywords

  • mobile navigation
  • social network service
  • user-created content

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Human-Computer Interaction
  • Software

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