Crowd geofencing

Shin'ichi Konomi, Tomoyo Sasao

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

3 Citations (Scopus)

Abstract

Geofencing mechanisms allow for timely message delivery to the visitors of predefined target areas. However, conventional geofencing approaches poorly support mobile data collection scenarios in which experts need in situ assistance. In this paper, we propose crowd geofencing environments, in which a large number of crowdworkers generate geofences to support mobile experts. As a first step to open up the possibilities of crowd geofencing, we have tested its feasibility by collecting more than one thousand geofences in an unfamiliar city prior to the visit to look into urban water and air quality issues. Our experience has revealed the strengths and weaknesses of crowd geofencing in terms of geofence quality and crowd-powered situated actions.

Original languageEnglish
Title of host publicationUrb-IoT 2016 - 2nd International Conference on IoT in Urban Space, Conference Proceedings
PublisherAssociation for Computing Machinery
Pages14-17
Number of pages4
ISBN (Electronic)9781450342049
DOIs
Publication statusPublished - May 24 2016
Event2nd International Conference on IoT in Urban Space, Urb-IoT 2016 - Tokyo, Japan
Duration: May 24 2016May 25 2016

Publication series

NameACM International Conference Proceeding Series
Volume24-25-May-2016

Other

Other2nd International Conference on IoT in Urban Space, Urb-IoT 2016
CountryJapan
CityTokyo
Period5/24/165/25/16

Fingerprint

Air quality
Water quality

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Konomi, S., & Sasao, T. (2016). Crowd geofencing. In Urb-IoT 2016 - 2nd International Conference on IoT in Urban Space, Conference Proceedings (pp. 14-17). [2962744] (ACM International Conference Proceeding Series; Vol. 24-25-May-2016). Association for Computing Machinery. https://doi.org/10.1145/2962735.2962744

Crowd geofencing. / Konomi, Shin'ichi; Sasao, Tomoyo.

Urb-IoT 2016 - 2nd International Conference on IoT in Urban Space, Conference Proceedings. Association for Computing Machinery, 2016. p. 14-17 2962744 (ACM International Conference Proceeding Series; Vol. 24-25-May-2016).

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

Konomi, S & Sasao, T 2016, Crowd geofencing. in Urb-IoT 2016 - 2nd International Conference on IoT in Urban Space, Conference Proceedings., 2962744, ACM International Conference Proceeding Series, vol. 24-25-May-2016, Association for Computing Machinery, pp. 14-17, 2nd International Conference on IoT in Urban Space, Urb-IoT 2016, Tokyo, Japan, 5/24/16. https://doi.org/10.1145/2962735.2962744
Konomi S, Sasao T. Crowd geofencing. In Urb-IoT 2016 - 2nd International Conference on IoT in Urban Space, Conference Proceedings. Association for Computing Machinery. 2016. p. 14-17. 2962744. (ACM International Conference Proceeding Series). https://doi.org/10.1145/2962735.2962744
Konomi, Shin'ichi ; Sasao, Tomoyo. / Crowd geofencing. Urb-IoT 2016 - 2nd International Conference on IoT in Urban Space, Conference Proceedings. Association for Computing Machinery, 2016. pp. 14-17 (ACM International Conference Proceeding Series).
@inproceedings{14835b543deb41119426ddadc706ed02,
title = "Crowd geofencing",
abstract = "Geofencing mechanisms allow for timely message delivery to the visitors of predefined target areas. However, conventional geofencing approaches poorly support mobile data collection scenarios in which experts need in situ assistance. In this paper, we propose crowd geofencing environments, in which a large number of crowdworkers generate geofences to support mobile experts. As a first step to open up the possibilities of crowd geofencing, we have tested its feasibility by collecting more than one thousand geofences in an unfamiliar city prior to the visit to look into urban water and air quality issues. Our experience has revealed the strengths and weaknesses of crowd geofencing in terms of geofence quality and crowd-powered situated actions.",
author = "Shin'ichi Konomi and Tomoyo Sasao",
year = "2016",
month = "5",
day = "24",
doi = "10.1145/2962735.2962744",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "14--17",
booktitle = "Urb-IoT 2016 - 2nd International Conference on IoT in Urban Space, Conference Proceedings",

}

TY - GEN

T1 - Crowd geofencing

AU - Konomi, Shin'ichi

AU - Sasao, Tomoyo

PY - 2016/5/24

Y1 - 2016/5/24

N2 - Geofencing mechanisms allow for timely message delivery to the visitors of predefined target areas. However, conventional geofencing approaches poorly support mobile data collection scenarios in which experts need in situ assistance. In this paper, we propose crowd geofencing environments, in which a large number of crowdworkers generate geofences to support mobile experts. As a first step to open up the possibilities of crowd geofencing, we have tested its feasibility by collecting more than one thousand geofences in an unfamiliar city prior to the visit to look into urban water and air quality issues. Our experience has revealed the strengths and weaknesses of crowd geofencing in terms of geofence quality and crowd-powered situated actions.

AB - Geofencing mechanisms allow for timely message delivery to the visitors of predefined target areas. However, conventional geofencing approaches poorly support mobile data collection scenarios in which experts need in situ assistance. In this paper, we propose crowd geofencing environments, in which a large number of crowdworkers generate geofences to support mobile experts. As a first step to open up the possibilities of crowd geofencing, we have tested its feasibility by collecting more than one thousand geofences in an unfamiliar city prior to the visit to look into urban water and air quality issues. Our experience has revealed the strengths and weaknesses of crowd geofencing in terms of geofence quality and crowd-powered situated actions.

UR - http://www.scopus.com/inward/record.url?scp=84985919208&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84985919208&partnerID=8YFLogxK

U2 - 10.1145/2962735.2962744

DO - 10.1145/2962735.2962744

M3 - Conference contribution

AN - SCOPUS:84985919208

T3 - ACM International Conference Proceeding Series

SP - 14

EP - 17

BT - Urb-IoT 2016 - 2nd International Conference on IoT in Urban Space, Conference Proceedings

PB - Association for Computing Machinery

ER -