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SER594 Lecture 01

SER594 Lecture 01

Human Computer Interaction
Course Presentation
(201901)

Javier Gonzalez-Sanchez

April 17, 2019
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Transcript

  1. Humans in HCI • Brain • Facial Gestures • Eyes

    • Heart Rate • Skin Conductance • Body Postures
  2. Computers in HCI Supervised: • Regression • Decision Trees •

    Support Vector Machines Unsupervised: • Clustering • Neural Networks • Random Forest
  3. Designing Interactions • Human Factors • Response selection • Working

    Memory (Humans) • Attention • Decision Making • User Interfaces (Graphical) Design • Ethnography and sociology
  4. 25% 25% Labs and Quizzes (attendance) 100% A+ 97 A

    93 A- 89 B+ 85 B 81 B- 77 C+ 73 C 69 25% Homework 25% Team Projects D 65 Final Exam Grading
  5. Attendance § Attendance is required. § Announcements are made in

    class. § I will try to post all important information on Blackboard. § If you come to class you are expected to participate.
  6. Ethics • Violations of academic integrity include (but are not

    limited to) cheating, fabrication, tampering, plagiarism or facilitating such activities. • it is unethical to bring to your instructor's attention the possible impact of your course grade on your future plans, including graduation, scholarships, jobs, etc.
  7. SER594 – Human Computer Interaction Javier Gonzalez-Sanchez [email protected] Spring 2019

    Disclaimer. These slides can only be used as study material for the SER594 course at ASU. They cannot be distributed or used for another purpose.