Facilitating pervasive community policing on the road with mobile roadwatch

Sangkeun Park; Emilia Stefania Ilincai; Jeungmin Oh; Sujin Kwon; Rabeb Mizouni; Uichin Lee

doi:10.1145/3025453.3025867

Facilitating pervasive community policing on the road with mobile roadwatch

Sangkeun Park, Emilia Stefania Ilincai, Jeungmin Oh, Sujin Kwon, Rabeb Mizouni, Uichin Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Citations (Scopus)

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.

Original language	English
Title of host publication	CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Explore, Innovate, Inspire
Publisher	Association for Computing Machinery
Pages	3538-3550
Number of pages	13
ISBN (Electronic)	9781450346559
DOIs	https://doi.org/10.1145/3025453.3025867
Publication status	Published - 2 May 2017
Event	2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 - Denver, United States Duration: 6 May 2017 → 11 May 2017

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings
Volume	2017-May

Conference

Conference	2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017
Country/Territory	United States
City	Denver
Period	6/05/17 → 11/05/17

Bibliographical note

Funding Information:
The authors thank Kartik Sawhney, Jare Fagbemi, Michael Kim, Maxine Fonua, Corey Garff, Matthew Kim and Jay Patel for their efforts on this project. Additional thanks to Stu Card, Aniket Kittur, Tom Malone, Pamela Hinds, Sharad Goel, Clark Barrett, and Anita Woolley for feedback on early drafts. This work was supported by the National Science Foundation (award IIS-1351131), Accenture Technology Labs, Microsoft FUSE Labs, the Stanford Cyber Initiative, the Stanford Institute for Research in the Social Sciences, and a Stanford Interdisciplinary Graduate Fellowship.

Keywords

Community policing
Mobile
Neighborhood watch
Privacy
Traffic

Access to Document

10.1145/3025453.3025867

Cite this

Park, S., Ilincai, E. S., Oh, J., Kwon, S., Mizouni, R., & Lee, U. (2017). Facilitating pervasive community policing on the road with mobile roadwatch. In CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire (pp. 3538-3550). (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2017-May). Association for Computing Machinery. https://doi.org/10.1145/3025453.3025867

Park, Sangkeun ; Ilincai, Emilia Stefania ; Oh, Jeungmin et al. / Facilitating pervasive community policing on the road with mobile roadwatch. CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, 2017. pp. 3538-3550 (Conference on Human Factors in Computing Systems - Proceedings).

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Park, S, Ilincai, ES, Oh, J, Kwon, S, Mizouni, R & Lee, U 2017, Facilitating pervasive community policing on the road with mobile roadwatch. in CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Conference on Human Factors in Computing Systems - Proceedings, vol. 2017-May, Association for Computing Machinery, pp. 3538-3550, 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017, Denver, United States, 6/05/17. https://doi.org/10.1145/3025453.3025867

Facilitating pervasive community policing on the road with mobile roadwatch. / Park, Sangkeun; Ilincai, Emilia Stefania; Oh, Jeungmin et al.
CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, 2017. p. 3538-3550 (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2017-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Park S, Ilincai ES, Oh J, Kwon S, Mizouni R, Lee U. Facilitating pervasive community policing on the road with mobile roadwatch. In CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery. 2017. p. 3538-3550. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3025453.3025867

Facilitating pervasive community policing on the road with mobile roadwatch

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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