Enabling Physical Crowdsourcing On-the-Go with Context-Sensitive Notifications

Authors

  • Yongsung Kim Northwestern University
  • Emily Harburg Northwestern University
  • Shana Azria Northwestern University
  • Elizabeth Gerber Northwestern University
  • Darren Gergle Northwestern University
  • Haoqi Zhang Northwestern University

DOI:

https://doi.org/10.1609/hcomp.v3i1.13252

Keywords:

on-the-go crowdsourcing, physical crowdsourcing, mobile crowdsourcing

Abstract

This paper introduces the idea of presenting physical tasks into people’s existing routine so that people can contribute small tasks on-the-go with minimal effort. We present two on-the-go crowdsourcing systems: Libero for package delivery, and CrowdFound for finding lost items. To encourage contributions, we introduce notification techniques that present task opportunities when potential helpers are likely to accept. To direct people to regions where help is most needed, we introduce techniques for tracking a person’s location within a task region and directing their attention based on task history. Evaluation studies demonstrate the feasibility of on-the-go crowdsourcing and investigate questions over the likelihood of task completion, the perceived cost of disruption, and the effectiveness of tracking and coordination.

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Published

2015-09-23

How to Cite

Kim, Y., Harburg, E., Azria, S., Gerber, E., Gergle, D., & Zhang, H. (2015). Enabling Physical Crowdsourcing On-the-Go with Context-Sensitive Notifications. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 3(1), 14-15. https://doi.org/10.1609/hcomp.v3i1.13252