The motivations and experiences of the on-demand mobile workforce

Rannie Teodoro, Pinar Ozturk, Mor Naaman, Winter Mason, Janne Lindqvist

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

62 Scopus citations

Abstract

On-demand mobile workforce applications match physical world tasks and willing workers. These systems offer to help conserve resources, streamline courses of action, and increase market efficiency for micro- and mid-level tasks, from verifying the existence of a pothole to walking a neighbor's dog. This study reports on the motivations and experiences of individuals who regularly complete physical world tasks posted in on-demand mobile workforce marketplaces. Data collection included semi-structured interviews with members (workers) of two different services. The analysis revealed the main drivers for participating in an on-demand mobile workforce, including desires for monetary compensation and control over schedules and task selection. We also reveal main reasons for task selection, which involve situational factors, convenient physical locations, and task requester profile information. Finally, we discuss the key characteristics of the most worthwhile tasks and offer implications for novel crowdsourcing systems for physical world tasks.

Original languageEnglish (US)
Title of host publicationCSCW 2014 - Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages236-247
Number of pages12
ISBN (Print)9781450325400
DOIs
StatePublished - 2014
Event17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014 - Baltimore, MD, United States
Duration: Feb 15 2014Feb 19 2014

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Other

Other17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014
Country/TerritoryUnited States
CityBaltimore, MD
Period2/15/142/19/14

All Science Journal Classification (ASJC) codes

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

Keywords

  • Crowdsourcing services
  • Mobile workforce
  • Physical world tasks

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