Crowdsourcing technology to support academic research

Matthias Hirth*, Jason Jacques, Peter Rodgers, Ognjen Scekic, Michael Wybrow

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

Current crowdsourcing platforms typically concentrate on simple microtasks and do not meet the needs of academic research well, where more complex, time consuming studies are required. This has lead to the development of specialised software tools to support academic research on such platforms. However, the loose coupling of the software with the crowdsourcing site means that there is only limited access to the features of the platform. In addition, the specialised nature of the software tools means that technical knowledge is needed to operate them. Hence there is great potential to enrich the features of crowdsourcing platforms from an academic perspective. In this chapter we discuss the possibilities for practical improvement of academic crowdsourced studies through adaption of technological solutions.

Original languageEnglish
Title of host publicationEvaluation in the crowd: crowdsourcing and human-centered experiments
Subtitle of host publicationDagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22-27, revised contributions
EditorsDaniel Archambault, Helen Purchase, Tobias Hoßfeld
Place of PublicationCham
PublisherSpringer
Pages70-95
Number of pages26
ISBN (Electronic)9783319664354
ISBN (Print)9783319664347
DOIs
Publication statusPublished - 29 Sept 2017

Publication series

NameLecture notes in computer science
Volume10264
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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