AAAI Publications, Third AAAI Conference on Human Computation and Crowdsourcing

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Enabling Physical Crowdsourcing On-the-Go with Context-Sensitive Notifications
Yongsung Kim, Emily Harburg, Shana Azria, Elizabeth Gerber, Darren Gergle, Haoqi Zhang

Last modified: 2015-09-23

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.

Keywords


on-the-go crowdsourcing; physical crowdsourcing; mobile crowdsourcing

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