skip to main content
10.1145/2962735.2962744acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesurb-iotConference Proceedingsconference-collections
short-paper

Crowd Geofencing

Published: 24 May 2016 Publication History

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.

References

[1]
Alt, F., Shirazi, A.S., Schmidt, A., Kramer, U., and Nawaz, Z. 2010. Location-based Crowdsourcing: Extending Crowdsourcing to the Real World. In Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries (Reykjavik, Iceland, October 16-20, 2010). NordiCHI'10. ACM, New York, NY, 13--22. DOI= http://doi.acm.org/10.1145/1868914.1868921.
[2]
Cardone, G., Cirri, A., Corradi, A., Foschini, L., Ianniello, R., and Montanari, R. 2014. Crowdsensing in Urban Areas for City-scale Mass Gathering Management: Geofencing and Activity Recognition. IEEE Sensors Journal, 14, 12 (Dec. 2014), 4185--4195. DOI=http://doi.acm.org/10.1109/JSEN.2014.2344023.
[3]
Chatzimilioudis, G., Konstantinidis, A., Laoudias, C., and Zeinalipour-Yazti, D. 2012. Crowdsourcing with Smartphones. IEEE Internet Computing 16, 5 (Sept.-Oct. 2012), 36--44. DOI=10.1109/MIC.2012.70.
[4]
Crowdflower. http://www.crowdflower.com. Accessed February 29, 2016.
[5]
Garzon, S.R. and Deva, B. 2014. Geofencing 2.0: Taking Location-based Notifications to the Next Level. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Seattle, WA, September 13-17, 2014). UbiComp '14. ACM, New York, NY, 921--932. DOI=http://dx.doi.org/10.1145/2632048.2636093
[6]
Graeff, E. 2014. Crowdsourcing as Reflective Political Practice: Building a Location-based Tool for Civic Learning and Engagement. Internet, Politics, and Policy 2014: Crowdsourcing for Politics and Policy, Oxford Internet Institute, Oxford, UK, 36pages. Available at SSRN: http://ssrn.com/abstract=2524967.
[7]
IFTTT. https://ifttt.com. Accessed February 29, 2016.
[8]
Kazemi, L. and Shahabi, C. 2012. GeoCrowd: Enabling Query Answering with Spatial Crowdsourcing. In Proceedings of the 20th International Conference on Advances in Geographic Information Systems (Redondo Beach, CA, November 6-9, 2012). SIGSPATIAL'12. ACM, New York, NY, 189--198. DOI=http://doi.acm.org/10.1145/2424321.2424346.
[9]
Kim, S., Mankoff, J., and Paulos, E. 2013. Sensr: Evaluating a Flexible Framework for Authoring Mobile Data-Collection Tools for Citizen Science. In Proceedings of the 2013 Conference on Computer Supported Cooperative Work (San Antonio, Texas, February 23-27, 2013). CSCW'13. ACM Press, New York, NY, 1453--1462. DOI=http://doi.acm.org/10.1145/2441776.2441940.
[10]
Li, Y., Hong, J. I., and Landay, J. A. 2004. Topiary: A tool for Prototyping Location-enhanced Applications. Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology (Santa Fe, NM, October 24-27, 2004). ACM UIST '04. ACM Press, New York, NY, 217--226.
[11]
Nikko Guide powered by goo. https://beacon.goo.ne.jp. Accessed April 6, 2016.
[12]
Paulos, E., Kim, S., and Kuznetsov, S. 2011. The Rise of the Expert Amateur: Citizen Science and Microvolunteerism. In Foth, M., Forlano, L, Satchell, C., & Gibbs, M. (Eds.) From Social Butterfly to Engaged Citizen: Urban Informatics, Social Media, Ubiquitous Computing, and Mobile Technology to Support Citizen Engagement. MIT Press, Cambridge, MA, 167--196.
[13]
Reddy, S., Estrin, D., and Srivastava, M. 2010. Recruitment Framework for Participatory Sensing Data Collections. In Proceedings of the 8th International Conference on Pervasive Computing (Helsinki, Finland, May 17-20, 2010). Pervasive'10. Springer, Heidelberg, 138--155. DOI=http://dx.doi.org/10.1007/978-3-642-12654-3_9.
[14]
Sasao, T. 2015. Support Environment for Co-designing Micro Tasks in Suburban Communities. In Extended Abstracts of ACM Conference on Human Factors in Computing Systems: Doctoral Consortium (Seoul, Korea, April 18-19). CHI'15. ACM Press, New York, NY, 231--234. DOI=http://dx.doi.org/10.1145/2702613.2702623.
[15]
Suchman, L.A. 1987. Plans and Situated Actions: The Problem of Human-Machine Communication. Cambridge University Press, New York, NY.
[16]
Welbourne, E., Khoussainova, N., Letchner, J., Li, Yang, Balazinska, M., Borriello, G., and Suciu, D. 2008. Cascadia: A System for Specifying, Detecting, and Managing RFID Events. In Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services (Breckenridge, Colorado, June 17-20, 2008). Mobisys'08. ACM Press, New York, NY, 281--294. DOI=http://dx.doi.org/10.1145/1378600.1378631.

Cited By

View all
  • (2018)System satisfaction survey for the App to integrate search and augmented reality with geographical information technologyMicrosystem Technologies10.1007/s00542-017-3333-924:1(319-341)Online publication date: 1-Jan-2018
  • (2018)Designing a Mobile Behavior Sampling Tool for Spatial AnalyticsDistributed, Ambient and Pervasive Interactions: Technologies and Contexts10.1007/978-3-319-91131-1_7(92-100)Online publication date: 30-May-2018
  • (2017)Geofence Index: A Performance Estimator for the Reliability of Proactive Location-Based Services2017 18th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM.2017.12(1-10)Online publication date: May-2017

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
Urb-IoT '16: Proceedings of the Second International Conference on IoT in Urban Space
May 2016
122 pages
ISBN:9781450342049
DOI:10.1145/2962735
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 May 2016

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Geofencing
  2. Mobile crowdsourcing

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Funding Sources

  • MEXT

Conference

Urb-IoT '16

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)8
  • Downloads (Last 6 weeks)0
Reflects downloads up to 11 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2018)System satisfaction survey for the App to integrate search and augmented reality with geographical information technologyMicrosystem Technologies10.1007/s00542-017-3333-924:1(319-341)Online publication date: 1-Jan-2018
  • (2018)Designing a Mobile Behavior Sampling Tool for Spatial AnalyticsDistributed, Ambient and Pervasive Interactions: Technologies and Contexts10.1007/978-3-319-91131-1_7(92-100)Online publication date: 30-May-2018
  • (2017)Geofence Index: A Performance Estimator for the Reliability of Proactive Location-Based Services2017 18th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM.2017.12(1-10)Online publication date: May-2017

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media