Campuswatch: Exploring communitysourced patrolling with pervasive mobile technology

Sangkeun Park, Sujin Kwon, Uichin Lee

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Community policing to collaboratively maintain community safety and order in conjunction with law enforcement is becoming increasingly popular and efficient with the use of mobile technologies. Beyond sharing information about local problems such as crime via online discussion forums, there has been an increased focus on the impact of mobile, location-based systems on community policing. In this study, we designed a novel communitysourced patrolling campaign in which community members schedule their own patrol times and routes, then perform bike-based patrolling with video capturing and sharing using their smartphones. We conducted a four-week field study (n=20) on a university campus to verify the campaign’s feasibility and observe users’ behavior. Our results show key findings about users’ task scheduling, event capturing and reporting behaviors, factors affecting task selection and execution, and user motivation and engagement. Finally, we discuss several practical design implications in building location-based systems for communitysourced patrolling.

Original languageEnglish
Article number134
JournalProceedings of the ACM on Human-Computer Interaction
Volume2
Issue numberCSCW
DOIs
Publication statusPublished - Nov 2018

Bibliographical note

Publisher Copyright:
© 2018 Copyright held by the owner/author(s). Publication rights licensed to ACM.

Keywords

  • Community
  • Community policing
  • Communitysourcing
  • Crowdsensing
  • Crowdsourcing
  • Mobile sensing

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