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

Yongsung Kim, Emily Harburg, Shana Azria, Elizabeth Gerber, Darren Gergle, Haoqi Zhang

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

1 Scopus citations

Abstract

This paper introduces the idea of sending timely notifications to potential helpers to complete small tasks on-the-go with minimal effort to them and maximal benefit to the system. 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.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015
EditorsElizabeth Gerber, Panos Ipeirotis
PublisherAAAI Press
Pages14-15
Number of pages2
ISBN (Electronic)9781577357407
DOIs
StatePublished - Nov 12 2015
Event3rd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015 - San Diego, United States
Duration: Nov 8 2015Nov 11 2015

Publication series

NameProceedings of the 3rd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015

Conference

Conference3rd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015
Country/TerritoryUnited States
CitySan Diego
Period11/8/1511/11/15

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Human-Computer Interaction

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