Semantic Interaction for Visual Analytics : Inferring Analytical Reasoning for Model Steering / by Alex Endert.

Format:

Book

Author/Creator:

Endert, Alex., Author.

Series:

Synthesis Lectures on Visualization, 2159-5178

Language:

English

Subjects (All):

Information visualization.

Data structures (Computer science).

Information theory.

Data mining.

Data and Information Visualization.

Data Structures and Information Theory.

Data Mining and Knowledge Discovery.

Local Subjects:

Data and Information Visualization.

Data Structures and Information Theory.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (IX, 89 p.)

Edition:

1st ed. 2016.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2016.

Summary:

This book discusses semantic interaction, a user interaction methodology for visual analytic applications that more closely couples the visual reasoning processes of people with the computation. This methodology affords user interaction on visual data representations that are native to the domain of the data. User interaction in visual analytics systems is critical to enabling visual data exploration. Interaction transforms people from mere viewers to active participants in the process of analyzing and understanding data. This discourse between people and data enables people to understand aspects of their data, such as structure, patterns, trends, outliers, and other properties that ultimately result in insight. Through interacting with visualizations, users engage in sensemaking, a process of developing and understanding relationships within datasets through foraging and synthesis. The book provides a description of the principles of semantic interaction, providing design guidelines for the integration of semantic interaction into visual analytics, examples of existing technologies that leverage semantic interaction, and a discussion of how to evaluate these technologies. Semantic interaction has the potential to increase the effectiveness of visual analytic technologies and opens possibilities for a fundamentally new design space for user interaction in visual analytics systems.

Contents:

Acknowledgments

Introduction

Fundamentals

Spatializations for Sensemaking Using Visual Analytics

Semantic Interaction

Applications that Integrate Semantic Interaction

Evaluating Semantic Interaction

Discussion and Open Challenges

Conclusion

References

Author's Biography.

ISBN:

9783031026034

3031026039