Facilitating Collocated Crowdsourcing on Situated Displays

Simo Hosio, Jorge Goncalves, Niels van Berkel, Simon Klakegg, Shin Ichi Konomi, Vassilis Kostakos

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Online crowdsourcing enables the distribution of work to a global labor force as small and often repetitive tasks. Recently, situated crowdsourcing has emerged as a complementary enabler to elicit labor in specific locations and from specific crowds. Teamwork in online crowdsourcing has been recently shown to increase the quality of output, but teamwork in situated crowdsourcing remains unexplored. We set out to fill this gap. We present a generic crowdsourcing platform that supports situated teamwork and provide experiences from a laboratory study that focused on comparing traditional online crowdsourcing to situated team-based crowdsourcing. We built a crowdsourcing desk that hosts three networked terminal displays. The displays run our custom team-driven crowdsourcing platform that was used to investigate collocated crowdsourcing in small teams. In addition to analyzing quantitative data, we provide findings based on questionnaires, interviews, and observations. We highlight 1) emerging differences between traditional and collocated crowdsourcing, 2) the collaboration strategies that teams exhibited in collocated crowdsourcing, and 3) that a priori team familiarity does not significantly affect collocated interaction in crowdsourcing. The approach we introduce is a novel multi-display crowdsourcing setup that supports collocated labor teams and along with the reported study makes specific contributions to situated crowdsourcing research.

Original languageEnglish
Pages (from-to)335-371
Number of pages37
JournalHuman-Computer Interaction
Volume33
Issue number5-6
DOIs
Publication statusPublished - Sep 4 2018

All Science Journal Classification (ASJC) codes

  • Applied Psychology
  • Human-Computer Interaction

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