Publikation:

Crowdsourcing Versus the Laboratory : Towards Human-Centered Experiments Using the Crowd

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2017

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Gadiraju, Ujwal
Möller, Sebastian
Nöllenburg, Martin
Egger-Lampl, Sebastian
Archambault, Daniel
Fisher, Brian

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http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1wgg9voexzjhw3
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https://doi.org/10.1007/978-3-319-66435-4_2
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ARCHAMBAULT, Daniel, ed., Helene C. PURCHASE, ed., Tobias HOSSFELD, ed.. Evaluation in the crowd : crowdsourcing and human-centered experiments : Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22-27, 2015, revised contributions. Cham: Springer, 2017, pp. 6-26. Lecture Notes in Computer Science. 10264. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-66434-7. Available under: doi: 10.1007/978-3-319-66435-4_2

Zusammenfassung

Crowdsourcing solutions are increasingly being adopted across a variety of domains these days. An important consequence of the flourishing crowdsourcing markets is that experiments which were traditionally carried out in laboratories on a much smaller scale can now tap into the immense potential of online labor. Researchers in different fields have shown considerable interest in attempting to carry out priorly constrained lab experiments in the crowd. In this chapter, we reflect on the key factors to consider while transitioning from controlled laboratory experiments to large scale experiments in the crowd.

Zusammenfassung in einer weiteren Sprache

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004 Informatik

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Dagstuhl Seminar 15481, 22. Nov. 2015 - 27. Nov. 2015, Wadern, Schloss Dagstuhl
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ISO 690GADIRAJU, Ujwal, Sebastian MÖLLER, Martin NÖLLENBURG, Dietmar SAUPE, Sebastian EGGER-LAMPL, Daniel ARCHAMBAULT, Brian FISHER, 2017. Crowdsourcing Versus the Laboratory : Towards Human-Centered Experiments Using the Crowd. Dagstuhl Seminar 15481. Wadern, Schloss Dagstuhl, 22. Nov. 2015 - 27. Nov. 2015. In: ARCHAMBAULT, Daniel, ed., Helene C. PURCHASE, ed., Tobias HOSSFELD, ed.. Evaluation in the crowd : crowdsourcing and human-centered experiments : Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22-27, 2015, revised contributions. Cham: Springer, 2017, pp. 6-26. Lecture Notes in Computer Science. 10264. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-66434-7. Available under: doi: 10.1007/978-3-319-66435-4_2
BibTex
@inproceedings{Gadiraju2017-09-28Crowd-41239,
  year={2017},
  doi={10.1007/978-3-319-66435-4_2},
  title={Crowdsourcing Versus the Laboratory : Towards Human-Centered Experiments Using the Crowd},
  number={10264},
  isbn={978-3-319-66434-7},
  issn={0302-9743},
  publisher={Springer},
  address={Cham},
  series={Lecture Notes in Computer Science},
  booktitle={Evaluation in the crowd : crowdsourcing and human-centered experiments : Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22-27, 2015, revised contributions},
  pages={6--26},
  editor={Archambault, Daniel and Purchase, Helene C. and Hoßfeld, Tobias},
  author={Gadiraju, Ujwal and Möller, Sebastian and Nöllenburg, Martin and Saupe, Dietmar and Egger-Lampl, Sebastian and Archambault, Daniel and Fisher, Brian}
}
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