Eye tracking and visual analytics

by Burch, Michael

Type Book

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Title Statements

Full title :Eye tracking and visual analytics / Michael Burch.

Summary

Visualization and visual analytics are powerful concepts for exploring data from various application domains. The endless number of possible parameters and the many ways to combine visual variables as well as algorithms and interaction techniques create lots of possibilities for building such techniques and tools. The major goal of those tools is to include the human users with their tasks at hand, their hypotheses, and research questions to provide ways to find solutions to their problems or at least to hint them in a certain direction to come closer to a problem solution. However, due to the sheer number of design variations, it is unclear which technique is suitable for those tasks at hand, requiring some kind of user evaluation to figure out how the human users perform while solving their tasks. The technology of eye tracking has existed for a long time; however, it has only recently been applied to visualization and visual analytics as a means to provide insights to the users' visual attention behavior. This generates another kind of dataset that has a spatio-temporal nature and hence demands for advanced data science and visual analytics concepts to find insights into the recorded eye movement data, either as a post process or even in real-time. This book describes aspects from the interdisciplinary field of visual analytics, but also discusses more general approaches from the field of visualization as well as algorithms and data handling. A major part of the book covers research on those aspects under the light and perspective of eye tracking, building synergy effects between both fields - eye tracking and visual analytics - in both directions, i.e. eye tracking applied to visual analytics and visual analytics applied to eye tracking data. Technical topics discussed in the book include: " Visualization; " Visual Analytics; " User Evaluation; " Eye Tracking; " Eye Tracking Data Analytics; Eye Tracking and Visual Analytics includes more than 500 references from the fields of visualization, visual analytics, user evaluation, eye tracking, and data science, all fields which have their roots in computer science. Eye Tracking and Visual Analytics is written for researchers in both academia and industry, particularly newcomers starting their PhD, but also for PostDocs and professionals with a longer research history in one or more of the covered research fields. Moreover, it can be used to get an overview about one or more of the involved fields and to understand the interface and synergy effects between all of those fields. The book might even be used for teaching lectures in the fields of information visualization, visual analytics, and/or eye tracking.

Edition Statements

Publication Date:2021.

Publication Statements

Publisher(s):River Publishers
Place of Publication:Aalborg
Language:eng
Publication Date:2021.

The Physical Object

Description:1 online resource (382 pages).

Edition Identifiers

ISBN:9788770224321, 8770224323
oclc:on1344340103
LC Classification:QA76.9.I52
Dewey Decimal:001.4/226

Front Cover -- Eye Tracking and Visual Analytics -- Contents -- Preface -- List of Figures -- List of Tables -- List of Abbreviations -- 1 Introduction -- 1.1 Tasks, Hypotheses, and Human Observers -- 1.2 Synergy Effects -- 1.3 Dynamic Visual Analytics -- 2 Visualization -- 2.1 Motivating Examples -- 2.2 Historical Background -- 2.2.1 Early Forms of Visualizations -- 2.2.2 The Age of Cartographic Maps -- 2.2.3 Visualization During Industrialization -- 2.2.4 After the Invention of the Computer -- 2.2.5 Visualization Today -- 2.3 Data Types and Visual Encodings -- 2.3.1 Primitive Data -- 2.3.2 Complex Data -- 2.3.3 Mixture of Data -- 2.3.4 Dynamic Data -- 2.3.5 Metadata -- 2.4 Interaction Techniques -- 2.4.1 Interaction Categories -- 2.4.2 Physical Devices -- 2.4.3 Users-in-the-Loop -- 2.5 Design Principles -- 2.5.1 Visual Enhancements and Decorations -- 2.5.2 Visual Structuring and Organization -- 2.5.3 General Design Flaws -- 2.5.4 Gestalt Laws -- 2.5.5 Optical Illusions -- 3 Visual Analytics -- 3.1 Key Concepts -- 3.1.1 Origin and First Stages -- 3.1.2 Data Handling and Management -- 3.1.3 System Ingredients Around the Data -- 3.1.4 Involved Research Fields and Future Perspective…

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