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Facilitating Pervasive Community Policing on the Road with Mobile Roadwatch

Published: 02 May 2017 Publication History

Abstract

We consider community policing on the road with pervasive recording technologies such as dashcams and smartphones where citizens are actively volunteering to capture and report various threats to traffic safety to the police via mobile apps. This kind of novel community policing has recently gained significant popularity in Korea and India. In this work, we identify people's general attitude and concerns toward community policing on the road through an online survey. We then address the major concerns by building a mobile app that supports easy event capture/access, context tagging, and privacy preservation. Our two-week user study (n = 23) showed Roadwatch effectively supported community policing activities on the road. Further, we found that the critical factors for reporting are personal involvement and seriousness of risks, and participants were mainly motivated by their contribution to traffic safety. Finally, we discuss several practical design implications to facilitate community policing on the road.

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  • (2024)An Analysis of Technological Applications in Community Policing and Their Performance Assessment Through A Systematic ReviewAdvances in Computing10.1007/978-3-031-75236-0_25(345-360)Online publication date: 22-Dec-2024
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    cover image ACM Conferences
    CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
    May 2017
    7138 pages
    ISBN:9781450346559
    DOI:10.1145/3025453
    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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    Published: 02 May 2017

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    Author Tags

    1. community policing
    2. mobile
    3. neighborhood watch
    4. privacy
    5. traffic

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    • This research was supported by the KUSTAR-KAIST Institute, KAIST, Korea.

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    CHI '17 Paper Acceptance Rate 600 of 2,400 submissions, 25%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    Cited By

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    • (2024)An Analysis of Technological Applications in Community Policing and Their Performance Assessment Through A Systematic ReviewAdvances in Computing10.1007/978-3-031-75236-0_25(345-360)Online publication date: 22-Dec-2024
    • (2022)Unpacking the Complexities of Community-led Violence Prevention WorkProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502122(1-15)Online publication date: 29-Apr-2022
    • (2021)Gamified Mobile Applications for Improving Driving BehaviorMobile Information Systems10.1155/2021/66770752021Online publication date: 1-Jan-2021
    • (2021)Examining Interactions Between Community Members and University Safety Organizations through Community-Sourced Risk SystemsProceedings of the ACM on Human-Computer Interaction10.1145/34491115:CSCW1(1-23)Online publication date: 22-Apr-2021
    • (2020)Finding & Reviewing Community Policing Apps in AsiaProceedings of the 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures10.1145/3391203.3391215(45-48)Online publication date: 25-Apr-2020
    • (2020)Designing Technologies for Community PolicingExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3383021(1-9)Online publication date: 25-Apr-2020
    • (2020)Empowering a Creative City: Engage Citizens in Creating Street Art through Human-AI CollaborationExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3382976(1-8)Online publication date: 25-Apr-2020
    • (2020)Making Connected Cars Untraceable via DSRC RadiosIEEE Access10.1109/ACCESS.2020.30443318(224932-224946)Online publication date: 2020
    • (2020)Improving road safety knowledge in Africa through crowdsourcing: the African Road Safety ObservatoryTransportation Research Procedia10.1016/j.trpro.2020.03.03445(418-425)Online publication date: 2020
    • (2019)Predicting opportune moments for in-vehicle proactive speech servicesAdjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341162.3343841(101-104)Online publication date: 9-Sep-2019
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