Borgo, Rita ; Lee, Bongshin ; Bach, Benjamin ; Fabrikant, Sara ; Jianu, Radu ; Kerren, Andreas ; Kobourov, Stephen ; McGee, Fintan ; Micallef, Luana ; Landesberger von Antburg, Tatiana ; Ballweg, Kathrin ; Diehl, Stephan ; Simonetto, Paolo ; Zhou, Michelle (2017)
Crowdsourcing for Information Visualization: Promises and Pitfalls.
1581. Dagstuhl-Seminar, Dagstuhl Castle, Germany (November 22 – 27, 2015)
doi: 10.1007/978-3-319-66435-4_5
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Crowdsourcing offers great potential to overcome the limitations of controlled lab studies. To guide future designs of crowdsourcing-based studies for visualization, we review visualization research that has attempted to leverage crowdsourcing for empirical evaluations of visualizations. We discuss six core aspects for successful employment of crowdsourcing in empirical studies for visualization - participants, study design, study procedure, data, tasks, and metrics & measures. We then present four case studies, discussing potential mechanisms to overcome common pitfalls. This chapter will help the visualization community understand how to effectively and efficiently take advantage of the exciting potential crowdsourcing has to offer to support empirical visualization research.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Borgo, Rita ; Lee, Bongshin ; Bach, Benjamin ; Fabrikant, Sara ; Jianu, Radu ; Kerren, Andreas ; Kobourov, Stephen ; McGee, Fintan ; Micallef, Luana ; Landesberger von Antburg, Tatiana ; Ballweg, Kathrin ; Diehl, Stephan ; Simonetto, Paolo ; Zhou, Michelle |
| Art des Eintrags: | Bibliographie |
| Titel: | Crowdsourcing for Information Visualization: Promises and Pitfalls |
| Sprache: | Englisch |
| Publikationsjahr: | 2017 |
| Ort: | Berlin |
| Verlag: | Springer |
| Buchtitel: | Evaluation in the Crowd |
| Veranstaltungsort: | 1581. Dagstuhl-Seminar, Dagstuhl Castle, Germany |
| Veranstaltungsdatum: | November 22 – 27, 2015 |
| DOI: | 10.1007/978-3-319-66435-4_5 |
| Kurzbeschreibung (Abstract): | Crowdsourcing offers great potential to overcome the limitations of controlled lab studies. To guide future designs of crowdsourcing-based studies for visualization, we review visualization research that has attempted to leverage crowdsourcing for empirical evaluations of visualizations. We discuss six core aspects for successful employment of crowdsourcing in empirical studies for visualization - participants, study design, study procedure, data, tasks, and metrics & measures. We then present four case studies, discussing potential mechanisms to overcome common pitfalls. This chapter will help the visualization community understand how to effectively and efficiently take advantage of the exciting potential crowdsourcing has to offer to support empirical visualization research. |
| Zusätzliche Informationen: | 1581. Dagstuhl-Seminar Lecture Notes in Computer Science, vol 10264 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 04 Mai 2020 09:05 |
| Letzte Änderung: | 22 Jul 2021 18:31 |
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