The Visual Knowledge Builder: A Second Generation Spatial Hypertext

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The Visual Knowledge Builder A Second Generation
Spatial Hypertext

• Frank M. Shipman III
• Haowei Hsieh
• Preetam Maloor
• J. Michael Moore

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Why Spatial Hypertext?

• Lowers users effort of expression
• Lets Users express categories and
  interrelationships through Visual Similarity and
  co-location of information objects

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Challenges for Spatial Hypertext

• The difficulty of interpreting changing
  visualizations
• The visualization interfering with visual source
  information
• The Inability to express cross-space
  interrelations
• The lack of means for expressing publishable
  information spaces
• The Inability to display media other than text in
  the workspace

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Areas of Emphasis in VKB

• Improved support for visual expression and
  presentation
• Easier Inclusion of and Interaction with
  information from other applications
• Implicit visual types for improved structure
  recognition

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Visual Expression and Presentation

• Borders of objects can be assigned colors
• Flexibility in Textual expression change font
  size, style, typeface, and color
• Display images in the workspace

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Integrating Information

• Files available via Local disk or network can be
  dragged from file browsers to VKB
• URLs can be dragged into VKB
• Cutting and pasting text into objects

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Implicit Visual Types

• The Spatial Parser used in both VIKI and VKB
  recognizes structures implicit in the layout of
  objects in the workspace using each objects
  position, size and type

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Navigational Links in VKB

• Local links connect an object to another
  object/collection/location in a collection
• Global Links connects to information outside of
  the Spatial Hypertext
• Historical Links An author can navigate the
  reader through both the space and time of a
  Hypertext

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Applications

• Note taking, Writing, Project Management, and
  conference organization
• Collecting, organizing, and visually coding
  objects

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Semantics Happen Knowledge Building in Spatial
Hypertext

• Frank M. Shipman III
• Haowei Hsieh
• Preetam Maloor
• J. Michael Moore
• Raghu Akkapeddi

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Why Knowledge Representation?

• Knowledge based Hypertext became less famous with
  the emergence of web HTML did not include useful
  facilities for more formal representation
• A lot of effort has gone to aid in use and
  sharing of knowledge but authoring the knowledge
  is not considered

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Suggestions

• Suggestions are something offered for
  consideration.
• Classes of Suggestion
• Task Assistance MS Office Assistant
• Tool Assistance Educate the User about processes
  and features available in the Tool

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Issues With Suggestion

• Work Efficiency reduction of cognitive load and
  time savings
• Notification Either proactive or Reactive
• Distraction Degree of distraction to the User
• Trust Users trust
• Control When providing user assistance is control

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VKB Suggestion Manager

• Notification As Suggestions are generated they
  are presented by sliding a bar in the VKB
  Workspace (Fig 1)
• Suggestion Interface When users choose to see
  the details it will open in a new window
• Suggestion Manager Interface History of all
  suggestions for VKB are presented in a table (Fig
  4) Users can go back and deal with suggestions
  when they decide it is appropriate

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Computation of Suggestions

• Spatial Analysis Taking the layout and visual
  properties of the symbols in the workspace
• Textual Analysis Calculates the relevance of a
  key phrase to the document
• Temporal Analysis History data enables a
  temporal analysis of the workspace to look for
  patterns in the evolution of the workspace

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Suggestion Types

• Type Suggestions
• Attribute Suggestions
• Placement Suggestions
• Relationship Suggestions
• Cleanup/Consolidation Suggestions

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User Evaluation

• VKB Suggestion Manager and Microsoft Office
  Assistant
• Effectiveness of both were Similar While VKB
  Suggestion Manager was less distracting