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Huang W. (ed.) Handbook of Human Centric Visualization

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Huang W. (ed.) Handbook of Human Centric Visualization
Издательство Springer, 2014, -741 pp.
We visualize data for human appreciation and understanding. In other words, all visualizations are meant to be human centric. However, human centric visualizations do not come automatically.
To ensure that a visualization is human centric, we need proper theories and principles to guide the process of the visualization design. Once the visualization is produced, we need methods and measures to verify whether the design objectives are indeed achieved. Rapid advances in display technology and computer power have enabled researchers and practitioners to produce visually appealing pictures. However, the effectiveness of those pictures in conveying the embedded information to end users has been relatively less explored.
Handbook of Human Centric Visualization aims to contribute to the human side of the visualization research. It addresses issues related to design, evaluation, and application of visualizations. Topics include visualization theories, design principles, evaluation methods and metrics, human factors, interaction methods, and case studies. This cutting-edge book is an edited volume whose contributors include well-established researchers worldwide, from diverse disciplines including psychology, education, visualization, and human-computer interaction.
The main features of this book can be summarized as follows:
Provides a comprehensive overview of human centric visualization
Represents latest developments and current trends in the field
Presents visualization theories
Covers design principles and guidelines
Presents evaluation methodologies and case studies
Includes contributions from leading experts and active researchers from a range of disciplines
This book is designed for a professional audience composed of practitioners, lecturers, and researchers working in the field of computer graphics, visualization, human-computer interaction and psychology. Undergraduate and postgraduate students in science and engineering focused on this topic will also find this book useful as a comprehensive textbook or reference.
Part I Visual Communication
Visualizing Thought
Gryphon: A ‘Little’ Domain-Specific Programming Language for Diffusion MRI Visualizations
Viewing Abstract Data as Maps
Part II Theory and Science
Individual Differences and Translational Science in the Design of Human-Centered Visualizations
Evaluating Visualization Environments: Cognitive, Social, and Cultural Perspectives
On the Prospects for a Science of Visualization
Part III Principles, Guidelines and RecommendationsToward a Better Understanding and Application of the Principles of Visual Communication
Pep Up Your Time Machine: Recommendations for the Design of Information Visualizations of Time-Dependent Data
Using Textbook Illustrations to Extract Design Principles for Algorithm Visualizations
Part IV Methods
Conceptual Design for Sensemaking
An Introduction and Guide to Evaluation of Visualization Techniques Through User Studies
User-Centered Evaluation of Information Visualization Techniques: Making the HCI-InfoVis Connection Explicit
Eye Tracking on Visualizations: Progressive Extraction of Scanning Strategies
Evaluating Overall Quality of Graph Visualizations Indirectly and Directly
Visual Analysis of Eye Tracking Data
User Studies in Visualization: A Reflection on Methods
Part V Perception and Cognition
On the Benefits and Drawbacks of Radial Diagrams
Measuring Memories for Objects and Their Locations in Immersive Virtual Environments: The Subjective Component of Memorial Experience
Human-Centric Chronographics:Making Historical Time Memorable
Visualizing Multiple Levels and Dimensions of Social Network Properties
Part VI Dynamic Visualization
Adaptive Diagrams: A Research Agenda to Explore How Learners Can Manipulate Online Diagrams to Self-Manage Cognitive Load
Dynamic Visualisations and Motor Skills
Dynamic Visualizations: A Two-Edged Sword?
Simultaneous and Sequential Presentation of Realistic and Schematic Instructional Dynamic Visualizations
How Do You Connect Moving Dots? Insights from User Studies on Dynamic Network Visualizations
Part VII Interaction
Interaction Taxonomy for Tracking of User Actions in Visual Analytics Applications
Common Visualizations: Their Cognitive Utility
Distribution of Information Processing While Performing Complex Cognitive Activities with Visualization Tools
Human-Centered Interactivity of Visualization Tools: Micro- and Macro-level Considerations
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