Titlebook: Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments; Dagstuhl Seminar 154 Daniel Archambault,Helen Purchase,Tobias Hoßfel

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https://doi.org/10.1007/978-3-658-34904-2eful. The hope is that this will provide readers enough of an understanding of psychology perspectives, theories, and methods that they can better apply crowdsourcing methods to understand the cognitive outcomes of interaction within visualization environments and other computer interfaces.

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https://doi.org/10.1007/978-3-319-66435-4crowdsourcing; crowdsourcing technology; vizualization; information vizualization; empirical studies; stu

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

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Understanding the Crowd: Ethical and Practical Matters in the Academic Use of Crowdsourcing,research studies, completing little tasks to accomplish HITs online. Understanding workers and crowdwork better is therefore key to develop a more effective and fair use of crowdsourcing for research. This chapter attempts to help develop an understanding of the various aspects of the crowd by drawi

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Crowdsourcing Technology to Support Academic Research,me 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 additi

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Crowdsourcing for Information Visualization: Promises and Pitfalls, 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

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