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CSC 8570 -- USI

CSC 8570 -- USI. Class Meeting 5 September 20, 2006. Research Project. Short presentation One spokesperson Five minutes Hypothesis, variables, initial experimental design PowerPoint Questions and comments from the audience. Research Teams. A: Pam & Srivani B: Karthik & Mukul

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CSC 8570 -- USI

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  1. CSC 8570 -- USI Class Meeting 5 September 20, 2006

  2. Research Project • Short presentation • One spokesperson • Five minutes • Hypothesis, variables, initial experimental design • PowerPoint • Questions and comments from the audience

  3. Research Teams • A: Pam & Srivani • B: Karthik & Mukul • C: Archana & Sandya C. • D: Mike, Natalie, Tim • E: Pranavi, Samsha, Sandya S. • F: Kallie, Kevin, Sara • G: Anush, Jeff, Adam

  4. Mental Models • As theories • As problem spaces • As homomorphisms of the physical world • Derived from language, perception, or imagination • As representations of representational artifacts (yoked state space) • As computationally equivalent to external representations (internalization)

  5. Ways of Understanding • Examination of spaces • Example: Calendaring system • Relationships to: • Task analysis • GUEPs: Generative User Engineering Principles • Good and bad interfaces

  6. Spaces • Problem space • Yoked state space • Goal space • Device space • Minimal device space

  7. Space Diagram • Pair up by threes • Analyze the three concept maps of spaces • Prepare a union map on the transparency

  8. Problem Space • Set of possible states • States of what? • Example: RPN as rote operations vs. visualized stack model

  9. Yoked State Space • Goal space, device space, and mapping from goal space to device space and conversely. • Concept of representation of abstract idea by familiar artifact

  10. Goal Space • Set of user goals for a system • Example: System is a word processor. Goal space is set of text structures: document, paragraph, sentence, line. Operations on goal space are insertion and deletion of text structures. Device space is representation of goal space elements as sequences of characters.

  11. Device Space • Particular kind of problem space • Represents with an artifact (a device) the goal space

  12. Minimal Device Space • A device space with exactly the set of tasks necessary for representing the goal space.

  13. Relationships Among Spaces

  14. Example: Calendaring System • Goal space • Attributes: now, cyclical, linear • Intentions: • Pulse: at a particular time • Step: in a window of time • Before: by a deadline • Related: in connection with another event • Device space

  15. Mental Models • How do they help? • Connection to GUEPs • Connection to good and bad interfaces

  16. How Good is the Interface? • What is good? • Who says? • On what grounds?

  17. Exploring “Good”

  18. Exploring “Who”

  19. Exploring the “Grounds” • Cognitive Dimensions (of notation) • Hierarchy of design principles • GUEPs • General design principles • Implementable design guidelines • Task analysis • Hierarchical task analysis (HTA) • ConcurTaskTrees

  20. Leave Behind • IRB form, completed to fullest extent possible • Bibliography for research study • Concept map of spaces

  21. Next Time

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