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CampusWatch: Exploring Communitysourced Patrolling with Pervasive Mobile Technology

Published: 01 November 2018 Publication History

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 crowdsourcing systems on community policing. In this study, we designed a novel crowdsourced patrolling campaign in which community members schedule their own patrol times and routes, then perform bike-based patrolling with video capturing 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 crowdsourcing systems for community policing.

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cover image Proceedings of the ACM on Human-Computer Interaction
Proceedings of the ACM on Human-Computer Interaction  Volume 2, Issue CSCW
November 2018
4104 pages
EISSN:2573-0142
DOI:10.1145/3290265
Issue’s Table of Contents
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].

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Publication History

Published: 01 November 2018
Published in PACMHCI Volume 2, Issue CSCW

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Author Tags

  1. community
  2. community policing
  3. communitysourcing
  4. crowdsensing
  5. crowdsourcing
  6. mobile sensing

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  • Research-article

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  • Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT

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  • (2024)Wisdom of Crowds: A Human-Machine-Things Cooperative Scheduling Method for Heterogeneous Mobile CrowdsensingProceedings of the ACM on Human-Computer Interaction10.1145/36869588:CSCW2(1-25)Online publication date: 8-Nov-2024
  • (2024)Understanding Technological needs of Nigerians towards community policing engagement: An interview-based studyAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680228(1-6)Online publication date: 21-Sep-2024
  • (2024)“I Prefer Regular Visitors to Answer My Questions”: Users’ Desired Experiential Background of Contributors for Location-based Crowdsourcing PlatformProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642520(1-18)Online publication date: 11-May-2024
  • (2023)Trust-Based Classification in Community Policing: A Systematic Review2023 IEEE International Symposium on Technology and Society (ISTAS)10.1109/ISTAS57930.2023.10306181(1-8)Online publication date: 13-Sep-2023
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