Simo Hosio, Jorge Goncalves, Niels van Berkel, Simon Klakegg, Shin’Ichi Konomi & Vassilis Kostakos (2018) Facilitating Collocated Crowdsourcing on Situated Displays, Human–Computer Interaction, 33:5-6, 335-371, DOI: 10.1080/07370024.2017.1344126
Facilitating collocated crowdsourcing on situated displays
|Author:||Hosio, Simo1; Goncalves, Jorge2; van Berkel, Niels2;|
1Center for Ubiquitous Computing, University of Oulu, Finland
2School of Computing and Information Systems, The University of Melbourne, Australia
3Faculty of Arts and Science, Kyushu University, Japan
|Online Access:||PDF Full Text (PDF, 21.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019082725818
|Publish Date:|| 2019-08-27
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.
|Pages:||335 - 371|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
113 Computer and information sciences
© 2017 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Human–Computer Interaction on 01 Sep 2017, available online: https://doi.org/10.1080/07370024.2017.1344126.