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Semester wrap-up

Semester wrap-up. …my final slides. More on HCI. Class on Ubiquitous Computing next spring Courses in visualization, virtual reality, gaming, etc. where HCI plays a role Research I have projects in HCI and Ubicomp. The Final. May 11, 7pm - 10 pm Closed book, one page of notes Cumulative

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Semester wrap-up

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  1. Semester wrap-up …my final slides.

  2. More on HCI • Class on Ubiquitous Computing next spring • Courses in visualization, virtual reality, gaming, etc. where HCI plays a role • Research • I have projects in HCI and Ubicomp

  3. The Final • May 11, 7pm - 10 pm • Closed book, one page of notes • Cumulative • Similar format to midterm (probably about 50% longer)

  4. Other stuff • Peer rating – rate you and your group members contributions to the project • Feedback for me

  5. 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

  6. Recall: 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

  7. Exam topics, cont. • Design • General purpose and process • Norman’s principles (affordance, mapping, conceptual model, etc.) • Execution-evaluation cycle • General usability principles (learnability, flexibility, robustness) • Errors – mistakes and slips • Visual design – basic principles and lessons • Web design – special issues for the Web

  8. Exam topics, cont. • Prototyping and storyboards • Evaluation • Characteristics of evaluation techniques • Predictive – Fitt’s, KSLM • What are techniques? • When to use which techniques? • Advice, guidelines for using techniques

  9. Good Infinite capacity LTM LTM duration & complexity High-learning capability Powerful attention mechanism Powerful pattern recognition Human abilities Memory, cognition, learning, problem solving • Bad • Limited capacity STM • Limited duration STM • Unreliable access to LTM • Error-prone processing • Slow processing

  10. General Issues in Choosing Dialogue Style • Who is in control - user or computer • Initial training required • Learning time to become proficient • Speed of use • Generality/flexibility/power • Special skills - typing • Gulf of evaluation / gulf of execution • Screen space required • Computational resources required

  11. Exam topics, cont. • Ubicomp • What are examples? • What are challenges? • Special topics – high level understanding • Privacy • Multi-modal interfaces • 3D user interfaces • Context-aware computing • Conversational agents • Visualization

  12. Sample questions What usability property of a system is the main focus for a cognitive walkthrough evaluation method? What four questions make up the believability story for a cognitive walkthrough? What is a paradigm shift? Is ubiquitous computing a paradigm shift? Defend your answer.

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