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Enhancing Distributed Cognition Through Information-Enriched Workspaces

This symposium introduction explores the concept of Information-Enriched Workspaces (IEW) as essential environments for knowledge-intensive activities. These workspaces provide immediate access to external information, allowing users to articulate queries, evaluate knowledge, and apply information effectively. Key design principles for IEW include reducing memory loss caused by context switches, utilizing both explicit and implicit communication channels, and ensuring user-specific adaptability. The integration of information acquisition and application is fundamental to enhancing user performance and fostering a shared understanding of the task context.

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Enhancing Distributed Cognition Through Information-Enriched Workspaces

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  1. Information-Enriched Workspaces Yunwen Ye Aspen Symposium

  2. Introduction • Distributed cognition • Knowledge-intensive activities require knowledge from the user and the world • Easy access to external information is essential to the performance of such activities • Information-enriched workspaces • Immediate access to external information within the workspace

  3. Articulating the queries Knowing the existence of information Applying the information Evaluating the information Information Repository System Workspace Current Model of Information Repository Systems

  4. Information Display Information Repository Information-Enriched Workspace Information-Enriched Workspace (IEW) • Information acquisition as a part of work processes • Integration of acquiring and applying information

  5. Design Principles for IEW (1/2) • Integration • Reducing the memory loss caused by context switch • Multiple communication channels • Explicit communication channel • Implicit communication channel • Layered information • Information discernment vs. detailed evaluation • Details on demand: progressive revelation of detailed information • ……

  6. Design Principles for IEW (2/2) • Natural interface • Consistent operation style with working environments • Information delivery • Providing access to unknown information • Shared understanding of the larger context • Taking into consideration of larger context of current task • User-specific • Accommodating individual difference in knowledge

  7. Component Repository Programmers Reuse Queries Listener Fetcher Retrieved Components Presenter An Example: CodeBroker Programming Environment reuse Reusable Components Information Display

  8. Agent-based task-specific delivery • Interface agents for repository systems • Combining information access and information delivery • Invoking the component-locating process directly from the programming environment • Command style consistent with Emacs operations • Delivery of potentially reusable components based on programmer’s task • Modeling the task based on comments and signatures

  9. Component Repository Programmers Reuse Queries Listener Fetcher Retrieved Components Presenter Agent-based task-specific delivery Concept: Create a random number between two limits Constraint: int <- int x int Programming Environment reuse Reusable Components Information Display

  10. Remove uninterested packages or classes Shared Larger Context • By specifying the high-level goal • By incremental discourse modeling to capture the (un)interested information Specifying (un)interested packages or classes

  11. User-specific • Removing known components from the information display based on user models • Adaptable and adaptive user modeling Add java.awt.CardLayout to the user model Add java.util.Vector.addElement to the user model

  12. Layered Information • Short description in the information display (name and synopsis) • Mouse-sensitive information (signatures and matching keywords) • Detailed information in an external browser • Example programs • Links to experts Example programs

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