Facilitating Collocated Crowdsourcing on Situated Displays
Bibliographic Data
| ID | 15215798 |
|---|---|
| Authors | Simo Hosio (0000-0002-9609-0965, University of Oulu, corresponding author), Jorge Gonçalves (0000-0002-8719-9272, The University of Melbourne), Niels Van Berkel (0000-0001-5106-7692, The University of Melbourne), Simon Klakegg (0000-0002-2978-6938, University of Oulu), Shin’ichi Konomi (0000-0001-5831-2152, Kyushu University), Vassilis Kostakos (0000-0003-2804-6038, University of Oulu) |
| Year | 2017 |
| Volume | 33 |
| Issue | 5-6 |
| Pages | 335-371 |
| Publication date | 2017-07-07 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Human-Computer Interaction (JOURNAL) |
| Journal identifiers | ISSN: 0737-0024 • E-ISSN: 1532-7051 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/07370024.2017.1344126 |
| OpenAlex | W2724856057 |
| Language | EN |
| Citations received | 2 |
| References cited | 25 |
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
Computer security · Crowds · Crowdsourcing · Crowdsourcing software development · Data science · Human–computer interaction · Situated · Teamwork · World Wide Web · Computer Science · Mobile Crowdsensing and Crowdsourcing · Team Dynamics and Performance · Usability and User Interface Design · Artificial Intelligence
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2020 - 2021 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |