KikuNavi

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

Hikaru Nagasaka, Makoto Okabe, Rikio Onai

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 Sep 302012 Oct 4

Other

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

Fingerprint

Mobile phones
Navigation
Navigation systems
Global positioning system

Keywords

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

ASJC Scopus subject areas

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

Cite this

Nagasaka, H., Okabe, M., & Onai, R. (2012). KikuNavi: Real-time pedestrian navigation based on social networking service and collective intelligence. In Proceedings - 2012 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2012 (pp. 193-196). [6344515] https://doi.org/10.1109/VLHCC.2012.6344515

KikuNavi : Real-time pedestrian navigation based on social networking service and collective intelligence. / Nagasaka, Hikaru; Okabe, Makoto; Onai, Rikio.

Proceedings - 2012 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2012. 2012. p. 193-196 6344515.

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

Nagasaka, H, Okabe, M & Onai, R 2012, KikuNavi: Real-time pedestrian navigation based on social networking service and collective intelligence. in Proceedings - 2012 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2012., 6344515, pp. 193-196, 2012 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2012, Innsbruck, Austria, 12/9/30. https://doi.org/10.1109/VLHCC.2012.6344515
Nagasaka H, Okabe M, Onai R. KikuNavi: Real-time pedestrian navigation based on social networking service and collective intelligence. In Proceedings - 2012 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2012. 2012. p. 193-196. 6344515 https://doi.org/10.1109/VLHCC.2012.6344515
Nagasaka, Hikaru ; Okabe, Makoto ; Onai, Rikio. / KikuNavi : Real-time pedestrian navigation based on social networking service and collective intelligence. Proceedings - 2012 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2012. 2012. pp. 193-196
@inproceedings{6abeeaa3380b401f89c006790febec2d,
title = "KikuNavi: Real-time pedestrian navigation based on social networking service and collective intelligence",
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.",
keywords = "mobile navigation, social network service, user-created content",
author = "Hikaru Nagasaka and Makoto Okabe and Rikio Onai",
year = "2012",
doi = "10.1109/VLHCC.2012.6344515",
language = "English",
isbn = "9781467308502",
pages = "193--196",
booktitle = "Proceedings - 2012 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2012",

}

TY - GEN

T1 - KikuNavi

T2 - Real-time pedestrian navigation based on social networking service and collective intelligence

AU - Nagasaka, Hikaru

AU - Okabe, Makoto

AU - Onai, Rikio

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - mobile navigation

KW - social network service

KW - user-created content

UR - http://www.scopus.com/inward/record.url?scp=84870860354&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870860354&partnerID=8YFLogxK

U2 - 10.1109/VLHCC.2012.6344515

DO - 10.1109/VLHCC.2012.6344515

M3 - Conference contribution

SN - 9781467308502

SP - 193

EP - 196

BT - Proceedings - 2012 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2012

ER -