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“Intelligent User Interfaces” by Hefley and Murray

“Intelligent User Interfaces” by Hefley and Murray. IUI: A 1993 Perspective. Intelligent User Interfaces brings together work in separate research communities Artificial intelligence Human-computer interaction Research often included Dialog understanding User modeling

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“Intelligent User Interfaces” by Hefley and Murray

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  1. “Intelligent User Interfaces”by Hefley and Murray

  2. IUI: A 1993 Perspective • Intelligent User Interfaces brings together work in separate research communities • Artificial intelligence • Human-computer interaction • Research often included • Dialog understanding • User modeling • Presentation generation • Tutoring and error remediation

  3. Example of Challenges • User modeling in time-critical environments • What aspects of the user do we model? • What is the representation? • How do we get information for the model? • When do we act based on the model? • More general issues with such models • Issues of access and privacy

  4. Abstraction of User Interaction • What is going on in computer-human interaction? • How do users decide what to do to achieve their goals?

  5. Many Potential Problems

  6. How To Help? • Reducing the gulf of execution • Good physical designs • Recognizing user knowledge and goals • Reducing the gulf of evaluation • Good visualization • Presentation generation • Designing for iterative action • Dialogue management • Error remediation

  7. System Architectures • Presentation, sequencing, and representation of semantics are components • Consider relation to model, view, controller design pattern

  8. The Problem as Task Manipulation

  9. The Problem as Domain-Oriented Interaction

  10. Classification of Systems • Knowledge-based systems • Components: Inference engine, consistency enforcer, knowledge base, justifier for explanations • Application: Intelligent Tutoring Systems • Decision support systems • Components: Dialogue management, model base management, database management • Application: Where users must make final decisions

  11. Adaptive Intelligent Systems • Needs to • Learn over time • Be aware of unforeseen situations • Be “self aware” • History of interactions with user could be used • To inform user model • To adapt domain model

  12. Classes of Intelligent User Interfaces • Intelligent Front Ends • Natural Language interfaces • Intelligent Tutoring Systems • Intelligent Help and Support Systems • Intelligent Multimedia Presentation Systems • Decision Support Systems • Adaptive Interfaces • Cooperative Intelligent Agents and Dialogue Assistants

  13. Relation to Class Projects • So, this is a REALLY OLD paper … what did we learn • Hopefully, some ideas about • what might count as an intelligent user interface, • the activities they might support, and • how they might be structured • If time, begin discussion of projects

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