Kerren, A., Ebert, A. and Meyer J. (Eds.): Human-centered Visualization Environments, volume 4417 of LNCS Tutorial, Springer, 2007: Difference between revisions

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[[Image:LNCS4417-small.gif|thumb|left|[Springer, 2007]]]
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<b>Type:</b> Softcover<br>
<b>Editors:</b> [[Kerren, Andreas|Andreas Kerren]], [[Ebert, Achim|Achim Ebert]], and [[Meyer, Jörg|Jörg Meyer]]<br>
<b>Pages:</b> 403<br>
<b>Publisher:</b> Springer<br>
<b>Publication Date:</b> July 2007<br>
<b>Series:</b> Volume 4417 of LNCS Tutorial<br>
 
 
This tutorial book features an augmented selection of the material presented at the GI-Dagstuhl Research Seminar on Human-Centered Visualization Environments, HCVE 2006, held in Dagstuhl Castle, Germany in March 2006. It presents eight tutorial lectures that are the thoroughly cross-reviewed and revised versions of the summaries and findings presented and discussed at the seminar. After an introduction to human-centered visualization environments, the book shows the fundamental principles and methods in that area, such as human-centered aspects, interacting with visualizations, visual representations, as well as challenges and unsolved problems. The book also includes lectures on domain-specific visualization describing geographic visualization, algorithm animation, and biomedical information visualization. [Springer, 2007]
 
 
 
 
 
{{ISBN|978-3-540-71948-9}}
 
== Table of Contents ==
 
*Preface
*List of Contributors
*1 Introduction to Human-Centered Visualization Environments (A. Kerren, A. Ebert, and J. Meyer)
*2 Human-Centered Aspects (O. Kulyk, R. Kosara, J. Urquiza, and I. Wassink)
**2.1 Human-Centered Approach
**2.2 Usability in Human-Centered Design
***2.2.1 Defining Usability
***2.2.2 Evaluating Usability
***2.2.3 Improving Usability
***2.2.4 Usability and Information Overload
**2.3 User Aims and Requirements
***2.3.1 Characteristics of Good Visualizations and User Interfaces
***2.3.2 Essential Elements of Successful Visualization
***2.3.3 Dimensions in Visualization
***2.3.4 Steps in Visualization Design
***2.3.5 The Design Cycle
***2.3.6 User Analysis
***2.3.7 User Requirements
***2.3.8 Task Analysis
***2.3.9 Task Modeling
***2.3.10 Designing for and with Users
**2.4 Evaluation of Visualization Environments
***2.4.1 Human-Centered Evaluation in Visualization Practice
***2.4.2 Evaluation Methods
***2.4.3 Designing Experiments
***2.4.4 Challenges in Evaluation of Collaborative Visualization Environments
**2.5 User Studies and a Science of Visualization
***2.5.1 Survey of Information Visualization Studies
***2.5.2 The Future of User Studies
**2.6 Chapter Notes
*3 Interacting with Visualizations (W. Fikkert, M. D’Ambros, T. Bierz, and T.J. Jankun-Kelly)
**3.1 Interaction
***3.1.1 Describing Interaction
***3.1.2 Defining Interaction
**3.2 Influences of Display Technologies
***3.2.1 Survey of Display Technologies
***3.2.2 Scales of Interaction
***3.2.3 Display Interaction Modalities and Media
***3.2.4 Interfaces and Usability for Novel Displays
***3.2.5 Display Device Challenges in Visualization
**3.3 Multimodal Interaction
***3.3.1 Unimodality Versus Multimodality
***3.3.2 Issues to Deal with in Multimodal Interaction
***3.3.3 Myths of Multimodality
***3.3.4 Survey of Enabling Technologies
***3.3.5 Overview of Approaches to Multimodal Interaction
***3.3.6 Enabling Multimodal Interaction
**3.4 Visualizations in Multi-party Environments
***3.4.1 Collaborating with Visualizations
***3.4.2 Models for Distributed Collaborative Visualization
***3.4.3 Evaluation Criteria
***3.4.4 Survey of Collaborative Visualization Systems
***3.4.5 Challenges for Multi-party Visualizations
**3.5 Chapter Notes
*4 Visual Representations (C. Görg, M. Pohl, E. Qeli, and K. Xu)
**4.1 Perceptual and Cognitive Issues
***4.1.1 The Visualization Process
***4.1.2 Types of Data
***4.1.3 Preattentive Processing
**4.2 Information Visualization Criteria and Metaphors
***4.2.1 Information Visualization Criteria
***4.2.2 Metaphors
**4.3 Multivariate Visualization Techniques
***4.3.1 Low-Dimensional Data Visualization
***4.3.2 Multidimensional Data Visualization
***4.3.3 Usability Issues on Multidimensional Data Visualization
**4.4 Graphs and Trees
***4.4.1 Applications
***4.4.2 Background
***4.4.3 Aesthetics vs. Graph Readability
***4.4.4 Layout vs. Graph Readability
***4.4.5 Large Graphs
***4.4.6 Integrated Graph Drawing
***4.4.7 Labeling of Graphs
**4.5 Multiple Views
***4.5.1 Classification
***4.5.2 The Design of Multiple Views
***4.5.3 Interaction
***4.5.4 Comparison with Integrated Views
**4.6 Chapter Notes
*5 Challenges and Unsolved Problems (R.S. Laramee, R. Kosara)
**5.1 Classification of Future Challenges and Unsolved Problems in Human-Centered Visualization
***5.1.1 Human-Centered Challenges
***5.1.2 Technical Challenges
***5.1.3 Financial Challenges
**5.2 Chapter Notes
*6 Geographic Visualization (M. Nöllenburg)
**6.1 Goals of Geovisualization
**6.2 Driving Forces of Geovisualization
**6.3 Cognitive Aspects
***6.3.1 Visual Thinking
***6.3.2 Graphic Variables
**6.4 Visualization Methods and Techniques
***6.4.1 Geospatial Data
***6.4.2 2D Cartographic Visualization
***6.4.3 3D Cartographic Visualization
***6.4.4 Visual Data Mining Tools
***6.4.5 Animation
***6.4.6 Spatio-Temporal Visualization
***6.4.7 Interactive User Interfaces
***6.4.8 Combining Visual and Computational Exploration
**6.5 Geovisualization Tools
**6.6 Usability of Geovisualization Systems
***6.6.1 Involving Users in the Design of Geovisualizations
***6.6.2 Results from User Studies
***6.6.3 Geovisualization to Support Group Work
**6.7 Chapter Notes
*7 Algorithm Animation (A. Moreno)
**7.1 Overview
**7.2 Users of Algorithm Animation
**7.3 Taxonomies for Algorithm Animation Tools
**7.4 Review of Tools and Their Evaluations
***7.4.1 Concept Keyboards for Algorithm Visualization
***7.4.2 Matrix and MatrixPro
***7.4.3 Alvis and Alvis Live!
***7.4.4 Alice
***7.4.5 Jeliot 3/Jeliot 2000
***7.4.6 JHAVÉ
***7.4.7 WinHipe
***7.4.8 User Studies Compilation
**7.5 Chapter Notes
*8 Biomedical Information Visualization (M. Lungu, K. Xu)
**8.1 Phylogenetic Tree Visualization
***8.1.1 Small Trees – Working in Euclidean Space
***8.1.2 Large Trees – Using Focus and Context
***8.1.3 Very Large Trees – Hyperbolic 3D Space
***8.1.4 Discussion and Further Reading
**8.2 Sequence Alignment
***8.2.1 Sequence Logos
***8.2.2 Editing and Visualizing Sequence Alignment: Jalview
***8.2.3 Vista: Online Visualization of DNA Alignment
***8.2.4 Sequence Walkers
***8.2.5 Dot Plots
***8.2.6 Arc Diagrams
***8.2.7 Discussion and Further Reading
**8.3 Biochemical Network Analysis
***8.3.1 Cytoscape
***8.3.2 Biochemical Pathway Analysis
***8.3.3 Layout for Large Biochemical Networks: LGL
***8.3.4 Discussion and Further Reading
**8.4 Microarray Data Visualization
***8.4.1 TreeView
***8.4.2 Hierarchical Clustering Explorer
***8.4.3 Evaluation of Microarray Visualization Tools
**8.5 Medical Records Visualization
***8.5.1 LifeLines: Visualizing Patient Temporal Data
***8.5.2 The Cube: Multidimensional Analysis of Medical Records
***8.5.3 Visualizing Medical Practice Guidelines and Protocols
**8.6 Chapter Notes
*Bibliography
*Author Index
*Index
 
== References ==
[Springer, 2007] Book description page [http://www.springer.com/dal/home/generic/search/results?SGWID=1-40109-22-173738796-0]
 
[[Category:Books]]

Revision as of 14:17, 14 August 2010

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