Beyond mobile collaboration: Toward metropolitan-scale geocentric crowdsourcing

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

1 Citation (Scopus)

Abstract

This paper discusses an approach to designing a ubiquitous crowdsourcing environment based on the lessons learned from the experiences of developing mobile collaboration systems. A data-centric approach is introduced to exploit metropolitan-scale human-mobility data for the provision of macroscopic awareness about people and places, which can facilitate the design and use of a geocentric crowdsourcing environment. Roles of such macroscopic awareness are examined based on the conceptual frameworks of distributed collaboration and spatial experiences.

Original languageEnglish
Title of host publicationUbiCrowd'11 - Proceedings of the 2nd International Workshop on Ubiquitous Crowdsouring
Pages17-20
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2nd International Workshop on Ubiquitous Crowdsourcing, UbiCrowd'11, Co-located with UbiComp 2011 - Beijing, China
Duration: Sept 18 2011Sept 18 2011

Publication series

NameUbiCrowd'11 - Proceedings of the 2nd International Workshop on Ubiquitous Crowdsouring

Other

Other2nd International Workshop on Ubiquitous Crowdsourcing, UbiCrowd'11, Co-located with UbiComp 2011
Country/TerritoryChina
CityBeijing
Period9/18/119/18/11

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications

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