Modeling sharing decision of campus safety reports and its design implications to mobile crowdsourcing for safety

Yun Huang, Corey White, Huichuan Xia, Yang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Current campus communication regarding safety-related issues can be improved for both efficiency and accessibility. We observed a unique opportunity to develop a mobile crowdsourcing system, which allows university community members to report safety related incidents to the campus police department and to share their reports with other users of the system. To better inform the design of such a system, we applied drift-diffusion models in cognitive psychology to model the effect of various factors on users' sharing tendency. We conducted a laboratory experiment with 30 participants. We also ran an MTurk study with 230 participants to explore the feature of anonymous sharing in the application design. In this paper we report various results, including the findings that the time of day, location, and type of crime each affects the likelihood and timeliness of sharing safety reports in several different ways. We also discuss the implications for design of mobile crowdsourcing systems for public safety in general.

Original languageEnglish (US)
Title of host publicationMobileHCI 2015 - Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services
PublisherAssociation for Computing Machinery, Inc
Pages400-409
Number of pages10
ISBN (Print)9781450336529
DOIs
StatePublished - Aug 24 2015
Event17th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2015 - Copenhagen, Denmark
Duration: Aug 24 2015Aug 27 2015

Other

Other17th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2015
CountryDenmark
CityCopenhagen
Period8/24/158/27/15

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Crime
Law enforcement
Communication
Experiments

Keywords

  • Decision model
  • Mobile crowdsourcing
  • Public safety

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Computer Networks and Communications
  • Human-Computer Interaction

Cite this

Huang, Y., White, C., Xia, H., & Wang, Y. (2015). Modeling sharing decision of campus safety reports and its design implications to mobile crowdsourcing for safety. In MobileHCI 2015 - Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 400-409). Association for Computing Machinery, Inc. https://doi.org/10.1145/2785830.2785889

Modeling sharing decision of campus safety reports and its design implications to mobile crowdsourcing for safety. / Huang, Yun; White, Corey; Xia, Huichuan; Wang, Yang.

MobileHCI 2015 - Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services. Association for Computing Machinery, Inc, 2015. p. 400-409.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huang, Y, White, C, Xia, H & Wang, Y 2015, Modeling sharing decision of campus safety reports and its design implications to mobile crowdsourcing for safety. in MobileHCI 2015 - Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services. Association for Computing Machinery, Inc, pp. 400-409, 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2015, Copenhagen, Denmark, 8/24/15. https://doi.org/10.1145/2785830.2785889
Huang Y, White C, Xia H, Wang Y. Modeling sharing decision of campus safety reports and its design implications to mobile crowdsourcing for safety. In MobileHCI 2015 - Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services. Association for Computing Machinery, Inc. 2015. p. 400-409 https://doi.org/10.1145/2785830.2785889
Huang, Yun ; White, Corey ; Xia, Huichuan ; Wang, Yang. / Modeling sharing decision of campus safety reports and its design implications to mobile crowdsourcing for safety. MobileHCI 2015 - Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services. Association for Computing Machinery, Inc, 2015. pp. 400-409
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