Semester in review

1
Semester in review
2
The Final

• May 7, 630pm 945 pm
• Closed book, ONE PAGE OF NOTES
• Cumulative
• Similar format to midterm (probably about 25
  longer)
• Ill also ask you to fill out a peer rating for
  your project group and additional course feedback
  for me.

3
Course ReCap

• To make you notice interfaces, good and bad
• Youll never look at doors the same way again
• To help you realize no one gets an interface
  right on the first try
• Yes, even the experts
• Design is HARD
• To teach you tools and techniques to help you
  iteratively improve your designs
• Because you can eventually get it right

4
Recall midterm exam topics

• Requirements
• What are they?
• Data gathering techniques when and why?
• User and stakeholder characteristics
• Scenarios and personas
• Task analysis
• HTA
• Other methods for describing tasks

5
Recall Human abilities
Memory, cognition, learning, problem solving

• Bad
• Limited capacity STM
• Limited duration STM
• Unreliable access to LTM
• Error-prone processing
• Slow processing

• Good
• Infinite capacity LTM
• LTM duration complexity
• High-learning capability
• Powerful attention mechanism
• Powerful pattern recognition

6
Recall design and prototyping

• Design
• General purpose and process
• Normans principles (affordance, mapping,
  conceptual model, etc.)
• Execution-evaluation cycle
• Errors mistakes and slips
• Visual design basic principles and lessons
• Prototyping
• Fidelity, horizontal vs. vertical
• Various methods

7
Recall Interaction

• Command line
• WIMP
• Direction manipulation
• Pen mobile
• Speech natural language
• Issues, advantages, disadvantages, etc.

8
Since midterm topics

• Design continued
• Web design what are general characteristics of
  web, and how does that affect design?
• General usability principles (learnability,
  flexibility, robustness)
• Know what all 15 mean, be able to remember
  several off the top of your head

9
More new topics evaluation

• Evaluation
• Characteristics of evaluation techniques
• Predictive Fitts, KSLM
• No math needed, but be able to describe what
  Fitts says, and be able to do a KSLM without
  putting in numbers (2K 2B etc.)
• What are techniques?
• When to use which techniques?
• Advice, guidelines for using techniques

10
Evaluation techniques, cont.

• Observation
• Variations (think aloud, cooperative, etc.)
• Direct vs. indirect
• Experiments
• Dependent, independent, and controlled variables
• Within vs. between subjects
• General idea of how to do analysis
• Why used?

11
Still more evaluation

• Interviews questionnaires
• Quantitative vs. qualitative questions
• Advice for good questions (avoid bias, be clear,
  etc.)
• Discount evaluation techniques
• Heuristic and cognitive walkthrough
• Similarities and differences
• Process for each
• You dont need to know all potential heuristics,
  but remembering a few might be useful, do
  remember what the 4 questions are for cognitive
  walkthrough

12
Special topics

• Groupware
• Time/space matrix
• The kinds of applications
• Challenges in building/evaluating
• Ubicomp
• What are examples?
• What are HCI challenges?
• Special topics high level understanding of one
  of them (not your own)
• Persuasive technologies
• Computer mediated communication
• Location-based computing
• Assistive technology