research-article

CampusWatch: Exploring Communitysourced Patrolling with Pervasive Mobile Technology

Authors:

Uichin LeeAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 2, Issue CSCW

Article No.: 134, Pages 1 - 25

https://doi.org/10.1145/3274403

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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Cited By

Amorim ARibeiro AArouca MMeijon ICavalheiro VPestana MVieira V(2024)Gamification Techniques and Contribution Filtering in Crowdsourcing Micro-Task ApplicationsJournal on Interactive Systems10.5753/jis.2024.372715:1(401-416)Online publication date: 15-May-2024
https://doi.org/10.5753/jis.2024.3727
Lin FTsai PLee CHo YChen YYen YChang Y(2024)“I Prefer Regular Visitors to Answer My Questions”: Users’ Desired Experiential Background of Contributors for Location-based Crowdsourcing PlatformProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642520(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642520
Ogbonnia OAnajemba JChkwuma ASahoo D(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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CampusWatch: Exploring Communitysourced Patrolling with Pervasive Mobile Technology

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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

Editors:
Karrie Karahalios
University of Illinois & Adobe
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Andrés Monroy-Hernández
Snap Inc.
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Airi Lampinen
Stockholm University
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Geraldine Fitzpatrick
Vienna University of Technology

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Published: 01 November 2018

Published in PACMHCI Volume 2, Issue CSCW

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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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https://doi.org/10.5753/jis.2024.3727
Lin FTsai PLee CHo YChen YYen YChang Y(2024)“I Prefer Regular Visitors to Answer My Questions”: Users’ Desired Experiential Background of Contributors for Location-based Crowdsourcing PlatformProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642520(1-18)Online publication date: 11-May-2024
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https://doi.org/10.1109/ISTAS57930.2023.10306181
Amorim AVieira V(2023)Participation in crowdsourcing micro-tasks: what motivates brazilian older adults?Universal Access in the Information Society10.1007/s10209-023-01023-9Online publication date: 5-Aug-2023
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