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Human-centered visualization environments : GI-Dagstuhl Research Seminar, Dagstuhl Castle, Germany, March 5-8, 2006 : revised lectures / edited by Andreas Kerren, Achim Ebert and Jörg Meyer.

By: GI-Dagstuhl Research Seminar (2006 : Dagstuhl, Wadern, Germany).
Contributor(s): Kerren, Andreas | Ebert, Achim | Meyer, Jörg, Dr.
Material type: materialTypeLabelBookSeries: Lecture notes in computer science, 4417.Lecture notes in computer science: Publisher: Berlin ; New York : Springer, 2007Description: xix, 403 p. : ill. ; 24 cm. + pbk.ISBN: 3540719482; 9783540719489.Subject(s): Information visualization -- Congresses | Human-computer interaction -- CongressesDDC classification: 004.019
Contents:
Introduction to Human-Centered Visualization Environments / A. Kerren, A. Ebert and J. Meyer -- Part I: Fundamental Principles and Methods -- Human-Centered Aspects / O. Kulyk, R. Kosara, J. Urquiza and I. Wassink -- Interacting with Visualizations / W. Fikkert, M. D'Ambros, T. Bierz and T. J. Jankun-Kelly -- Visual Representations / C. Gorg, M.Pohl, E. Qeli and K. Xu -- Challenges and unsolved problems / R. S. Laramee, R. Kosara -- Part II: Domain-Specific Visualization -- Geographic Visualization / M. Nollenburg -- Algorithm Animation / A. Moreno -- Biomedical Information Visualization / M. Lungu, K. Xu

Enhanced descriptions from Syndetics:

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.

Bibliography: (pages 343-393) and indexes.

Introduction to Human-Centered Visualization Environments / A. Kerren, A. Ebert and J. Meyer -- Part I: Fundamental Principles and Methods -- Human-Centered Aspects / O. Kulyk, R. Kosara, J. Urquiza and I. Wassink -- Interacting with Visualizations / W. Fikkert, M. D'Ambros, T. Bierz and T. J. Jankun-Kelly -- Visual Representations / C. Gorg, M.Pohl, E. Qeli and K. Xu -- Challenges and unsolved problems / R. S. Laramee, R. Kosara -- Part II: Domain-Specific Visualization -- Geographic Visualization / M. Nollenburg -- Algorithm Animation / A. Moreno -- Biomedical Information Visualization / M. Lungu, K. Xu

CIT Module MMED 7007 - Core reading.

Table of contents provided by Syndetics

  • Preface (p. V)
  • List of Contributors (p. VII)
  • 1 Introduction to Human-Centered Visualization Environments (p. 1)
  • Part I Fundamental Principles and Methods
  • 2 Human-Centered Aspects (p. 13)
  • 2.1 Human-Centered Approach (p. 13)
  • 2.2 Usability in Human-Centered Design (p. 14)
  • 2.2.1 Defining Usability (p. 15)
  • 2.2.2 Evaluating Usability (p. 20)
  • 2.2.3 Improving Usability (p. 20)
  • 2.2.4 Usability and Information Overload (p. 24)
  • 2.3 User Aims and Requirements (p. 28)
  • 2.3.1 Characteristics of Good Visualizations and User Interfaces (p. 29)
  • 2.3.2 Essential Elements of Successful Visualization (p. 30)
  • 2.3.3 Dimensions in Visualization (p. 31)
  • 2.3.4 Steps in Visualization Design (p. 32)
  • 2.3.5 The Design Cycle (p. 33)
  • 2.3.6 User Analysis (p. 34)
  • 2.3.7 User Requirements (p. 42)
  • 2.3.8 Task Analysis (p. 43)
  • 2.3.9 Task Modeling (p. 48)
  • 2.3.10 Designing for and with Users (p. 50)
  • 2.4 Evaluation of Visualization Environments (p. 52)
  • 2.4.1 Human-Centered Evaluation in Visualization Practice (p. 52)
  • 2.4.2 Evaluation Methods (p. 56)
  • 2.4.3 Designing Experiments (p. 59)
  • 2.4.4 Challenges in Evaluation of Collaborative Visualization Environments (p. 64)
  • 2.5 User Studies and a Science of Visualization (p. 66)
  • 2.5.1 Survey of Information Visualization Studies (p. 66)
  • 2.5.2 The Future of User Studies (p. 71)
  • 2.6 Chapter Notes (p. 74)
  • 3 Interacting with Visualizations (p. 77)
  • 3.1 Interaction (p. 77)
  • 3.1.1 Describing Interaction (p. 78)
  • 3.1.2 Defining Interaction (p. 83)
  • 3.2 Influences of Display Technologies (p. 85)
  • 3.2.1 Survey of Display Technologies (p. 86)
  • 3.2.2 Scales of Interaction (p. 88)
  • 3.2.3 Display Interaction Modalities and Media (p. 91)
  • 3.2.4 Interfaces and Usability for Novel Displays (p. 97)
  • 3.2.5 Display Device Challenges in Visualization (p. 102)
  • 3.3 Multimodal Interaction (p. 103)
  • 3.3.1 Unimodality Versus Multimodality (p. 105)
  • 3.3.2 Issues to Deal with in Multimodal Interaction (p. 108)
  • 3.3.3 Myths of Multimodality (p. 110)
  • 3.3.4 Survey of Enabling Technologies (p. 111)
  • 3.3.5 Overview of Approaches to Multimodal Interaction (p. 124)
  • 3.3.6 Enabling Multimodal Interaction (p. 131)
  • 3.4 Visualizations in Multi-party Environments (p. 132)
  • 3.4.1 Collaborating with Visualizations (p. 133)
  • 3.4.2 Models for Distributed Collaborative Visualization (p. 137)
  • 3.4.3 Evaluation Criteria (p. 144)
  • 3.4.4 Survey of Collaborative Visualization Systems (p. 146)
  • 3.4.5 Challenges for Multi-party Visualizations (p. 159)
  • 3.5 Chapter Notes (p. 160)
  • 4 Visual Representations (p. 163)
  • 4.1 Perceptual and Cognitive Issues (p. 164)
  • 4.1.1 The Visualization Process (p. 164)
  • 4.1.2 Types of Data (p. 165)
  • 4.1.3 Preattentive Processing (p. 166)
  • 4.2 Information Visualization Criteria and Metaphors (p. 170)
  • 4.2.1 Information Visualization Criteria (p. 171)
  • 4.2.2 Metaphors (p. 173)
  • 4.3 Multivariate Visualization Techniques (p. 177)
  • 4.3.1 Low-Dimensional Data Visualization (p. 177)
  • 4.3.2 Multidimensional Data Visualization (p. 180)
  • 4.3.3 Usability Issues on Multidimensional Data Visualization (p. 188)
  • 4.4 Graphs and Trees (p. 189)
  • 4.4.1 Applications (p. 190)
  • 4.4.2 Background (p. 190)
  • 4.4.3 Aesthetics vs. Graph Readability (p. 194)
  • 4.4.4 Layout vs. Graph Readability (p. 200)
  • 4.4.5 Large Graphs (p. 212)
  • 4.4.6 Integrated Graph Drawing (p. 219)
  • 4.4.7 Labeling of Graphs (p. 221)
  • 4.5 Multiple Views (p. 224)
  • 4.5.1 Classification (p. 224)
  • 4.5.2 The Design of Multiple Views (p. 227)
  • 4.5.3 Interaction (p. 228)
  • 4.5.4 Comparison with Integrated Views (p. 228)
  • 4.6 Chapter Notes (p. 229)
  • 5 Challenges and Unsolved Problems (p. 231)
  • 5.1 Classification of Future Challenges and Unsolved Problems in Human-Centered Visualization (p. 233)
  • 5.1.1 Human-Centered Challenges (p. 234)
  • 5.1.2 Technical Challenges (p. 243)
  • 5.1.3 Financial Challenges (p. 249)
  • 5.2 Chapter Notes (p. 252)
  • Part II Domain-Specific Visualization
  • 6 Geographic Visualization (p. 257)
  • 6.1 Goals of Geovisualization (p. 258)
  • 6.2 Driving Forces of Geovisualization (p. 259)
  • 6.3 Cognitive Aspects (p. 261)
  • 6.3.1 Visual Thinking (p. 261)
  • 6.3.2 Graphic Variables (p. 263)
  • 6.4 Visualization Methods and Techniques (p. 264)
  • 6.4.1 Geospatial Data (p. 264)
  • G.4.2 2D Cartographic Visualization (p. 265)
  • 6.4.3 3D Cartographic Visualization (p. 267)
  • 6.4.4 Visual Data Mining Tools (p. 268)
  • 6.4.5 Animation (p. 271)
  • 6.4.6 Spatio-Temporal Visualization (p. 273)
  • 6.4.7 Interactive User Interfaces (p. 276)
  • 6.4.8 Combining Visual and Computational Exploration (p. 280)
  • 6.5 Geovisualization Tools (p. 283)
  • 6.6 Usability of Geovisualization Systems (p. 285)
  • 6.6.1 Involving Users in the Design of Geovisualizations (p. 286)
  • 6.6.2 Results from User Studies (p. 287)
  • 6.6.3 Geovisualization to Support Group Work (p. 290)
  • 6.7 Chapter Notes (p. 293)
  • 7 Algorithm Animation (p. 295)
  • 7.1 Overview (p. 296)
  • 7.2 Users of Algorithm Animation (p. 297)
  • 7.3 Taxonomies for Algorithm Animation Tools (p. 298)
  • 7.4 Review of Tools and Their Evaluations (p. 301)
  • 7.4.1 Concept Keyboards for Algorithm Visualization (p. 301)
  • 7.4.2 Matrix and MatrixPro (p. 302)
  • 7.4.3 Alvis and Alvis Live! (p. 303)
  • 7.4.4 Alice (p. 304)
  • 7.4.5 Jeliot 3/Jeliot 2000 (p. 304)
  • 7.4.6 JHAVE (p. 306)
  • 7.4.7 WinHipe (p. 307)
  • 7.4.8 User Studies Compilation (p. 308)
  • 7.5 Chapter Notes (p. 308)
  • 8 Biomedical Information Visualization (p. 311)
  • 8.1 Phylogenetic Tree Visualization (p. 312)
  • 8.1.1 Small Trees - Working in Euclidean Space (p. 312)
  • 8.1.2 Large Trees - Using Focus and Context (p. 314)
  • 8.1.3 Very Large Trees - Hyperbolic 3D Space (p. 315)
  • 8.1.4 Discussion and Further Reading (p. 316)
  • 8.2 Sequence Alignment (p. 316)
  • 8.2.1 Sequence Logos (p. 317)
  • 8.2.2 Editing and Visualizing Sequence Alignment: Jalview (p. 319)
  • 8.2.3 Vista: Online Visualization of DNA Alignment (p. 320)
  • 8.2.4 Sequence Walkers (p. 321)
  • 8.2.5 Dot Plots (p. 322)
  • 8.2.6 Arc Diagrams (p. 323)
  • 8.2.7 Discussion and Further Reading (p. 324)
  • 8.3 Biochemical Network Analysis (p. 325)
  • 8.3.1 Cytoscape (p. 325)
  • 8.3.2 Biochemical Pathway Analysis (p. 326)
  • 8.3.3 Layout for Large Biochemical Networks: LGL (p. 329)
  • 8.3.4 Discussion and Further Reading (p. 330)
  • 8.4 Microarray Data Visualization (p. 331)
  • 8.4.1 Tree View (p. 331)
  • 8.4.2 Hierarchical Clustering Explorer (p. 333)
  • 8.4.3 Evaluation of Microarray Visualization Tools (p. 334)
  • 8.5 Medical Records Visualization (p. 335)
  • 8.5.1 LifeLines: Visualizing Patient Temporal Data (p. 336)
  • 8.5.2 The Cube: Multidimensional Analysis of Medical Records (p. 336)
  • 8.5.3 Visualizing Medical Practice Guidelines and Protocols (p. 338)
  • 8.6 Chapter Notes (p. 339)
  • Bibliography (p. 343)
  • Author Index (p. 395)
  • Index (p. 397)

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