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.

Format:

Book

Contributor:

Archambault, Daniel, editor.

Purchase, Helen, editor.

Hossfeld, Tobias, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-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).

Computer networks.

Application software.

Economics.

User Interfaces and Human Computer Interaction.

Computer Communication Networks.

Information Systems Applications (incl. Internet).

Economic Theory/Quantitative Economics/Mathematical Methods.

Local Subjects:

User Interfaces and Human Computer Interaction.

Computer Communication Networks.

Information Systems Applications (incl. Internet).

Economic Theory/Quantitative Economics/Mathematical Methods.

Physical Description:

1 online resource (VII, 191 pages) : 15 illustrations.

Edition:

First edition 2017.

Contained In:

Springer eBooks

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.