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Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments : Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22 - 27, 2015, Revised Contributions / edited by Daniel Archambault, Helen Purchase, Tobias Hoßfeld.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Archambault, Daniel, Editor.
Purchase, Helen., Editor.
Hossfeld, Tobias, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 10264
Information Systems and Applications, incl. Internet/Web, and HCI ; 10264
Language:
English
Subjects (All):
User interfaces (Computer systems).
Human-computer interaction.
Computer networks.
Application software.
Econometrics.
User Interfaces and Human Computer Interaction.
Computer Communication Networks.
Computer and Information Systems Applications.
Quantitative Economics.
Local Subjects:
User Interfaces and Human Computer Interaction.
Computer Communication Networks.
Computer and Information Systems Applications.
Quantitative Economics.
Physical Description:
1 online resource (VII, 191 pages) : 15 illustrations
Edition:
1st ed. 2017.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
As the outcome of the Dagstuhl Seminar 15481 on Crowdsourcing and Human-Centered Experiments, this book is a primer for computer science researchers who intend to use crowdsourcing technology for human centered experiments. The focus of this Dagstuhl seminar, held in Dagstuhl Castle in November 2015, was to discuss experiences and methodological considerations when using crowdsourcing platforms to run human-centered experiments to test the effectiveness of visual representations. The inspiring Dagstuhl atmosphere fostered discussions and brought together researchers from different research directions. The papers provide information on crowdsourcing technology and experimental methodologies, comparisons between crowdsourcing and lab experiments, the use of crowdsourcing for visualisation, psychology, QoE and HCI empirical studies, and finally the nature of crowdworkers and their work, their motivation and demographic background, as well as the relationships among people forming the crowdsourcing community.
Contents:
Crowdsourcing Versus the Laboratory: Towards Human-centered Experiments Using the Crowd
Understanding The Crowd: Ethical and Practical Matters in the Academic Use of Crowdsourcing
Crowdsourcing Technology to Support Academic Research
Crowdsourcing for Information Visualization: Promises and Pitfalls
Cognitive Information Theories of Psychology and Applications with Visualization and HCI through Crowdsourcing Platforms
Crowdsourcing Quality of Experience Experiments.
Other Format:
Printed edition:
ISBN:
978-3-319-66435-4
9783319664354
Access Restriction:
Restricted for use by site license.

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