Semester in review

1. Semester in review

2. The Final • May 7, 6:30pm – 9:45 pm • Closed book, ONE PAGE OF NOTES • Cumulative • Similar format to midterm (probably about 25% longer) • I’ll 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 • You’ll 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. Good Infinite capacity LTM LTM duration & complexity High-learning capability Powerful attention mechanism Powerful pattern recognition Recall: Human abilities Memory, cognition, learning, problem solving • Bad • Limited capacity STM • Limited duration STM • Unreliable access to LTM • Error-prone processing • Slow processing

6. Recall: design and prototyping • Design • General purpose and process • Norman’s 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 – Fitt’s, KSLM • No math needed, but be able to describe what Fitt’s 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 don’t 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