Case Studies for Working with Domain Experts

BEYER, Johanna, Charles HANSEN, Mario HLAWITSCHKA, Ingrid HOTZ, Barbora KOZLÍKOVÁ, Gerik SCHEUERMANN, Markus STOMMEL, Marc STREIT, Johannes WASCHKE, Thomas WISCHGOLL and Yong WAN. Case Studies for Working with Domain Experts. In Min Chen, Helwig Hauser, Penny Rheingans, Gerik Scheuermann. Foundations of Data Visualization. Switzerland: Springer, 2020, p. 255-278. ISBN 978-3-030-34443-6. Available from: https://dx.doi.org/10.1007/978-3-030-34444-3_13.

Basic information

Original name

Case Studies for Working with Domain Experts

Authors

BEYER, Johanna, Charles HANSEN, Mario HLAWITSCHKA, Ingrid HOTZ, Barbora KOZLÍKOVÁ (203 Czech Republic, belonging to the institution), Gerik SCHEUERMANN, Markus STOMMEL, Marc STREIT, Johannes WASCHKE, Thomas WISCHGOLL and Yong WAN

Edition

Switzerland, Foundations of Data Visualization, p. 255-278, 24 pp. 2020

Publisher

Springer

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Other information

Language

English

Type of outcome

Kapitola resp. kapitoly v odborné knize

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/20:00116271

Organization unit

Faculty of Informatics

ISBN

978-3-030-34443-6

DOI

http://dx.doi.org/10.1007/978-3-030-34444-3_13

Keywords in English

data visualization;technology;algorithm;empirical methods

Tags

topvydavatel

Tags

International impact, Reviewed

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Abstract

V originále

This is the first book that focuses entirely on the fundamental questions in visualization. Unlike other existing books in the field, it contains discussions that go far beyond individual visual representations and individual visualization algorithms. It offers a collection of investigative discourses that probe these questions from different perspectives, including concepts that help frame these questions and their potential answers, mathematical methods that underpin the scientific reasoning of these questions, empirical methods that facilitate the validation and falsification of potential answers, and case studies that stimulate hypotheses about potential answers while providing practical evidence for such hypotheses. Readers are not instructed to follow a specific theory, but their attention is brought to a broad range of schools of thoughts and different ways of investigating fundamental questions. As such, the book represents the by now most significant collective effort for gathering a large collection of discourses on the foundation of data visualization. Data visualization is a relatively young scientific discipline. Over the last three decades, a large collection of computer-supported visualization techniques have been developed, and the merits and benefits of using these techniques have been evidenced by numerous applications in practice. These technical advancements have given rise to the scientific curiosity about some fundamental questions such as why and how visualization works, when it is useful or effective and when it is not, what are the primary factors affecting its usefulness and effectiveness, and so on. This book signifies timely and exciting opportunities to answer such fundamental questions by building on the wealth of knowledge and experience accumulated in developing and deploying visualization technology in practice.