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XuetangX

Human-Computer Interaction(人机交互国际版)

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Overview

Interactions are everywhere. We deal with various systems every day. Have you ever encountered systems that are difficult to use? How to improve them? How can we design systems with good usability?

Human-Computer Interaction is a new interdisciplinary course involving computer science, industrial design, sociology and psychology. It mainly explores the interactive relationship between users and systems, and designs, implements and evaluates interactive systems for users. Our course includes five modules: basic knowledge of human beings, basic knowledge of machines, basic rules of User Interface design, design of interactive systems, research hotspots and case study.

Through the study of our course, you may understand the basic knowledge of human beings and machines, know the basic rules of user interface design, master the basic methods of interactive system design, establish the thinking of User-Centered Design, and follow these interactive design methods to achieve interactive systems with good usability.

Our course is supported by Prof. Butz from University of Munich.

Syllabus

  • Part1 Basic Knowledge of Human Beings
    • Chapter 1 Basic Models of Human Information Processing
    • Chapter 2 Perception
    • Chapter 3 Cognition
    • Chapter 4 Motor Functions
    • Chapter 5 Mental Models and Errors
  • Part2 Basic Knowledge of Machines
    • Chapter 6 System Input
    • Chapter 7 System Processing
    • Chapter 8 System Output
  • Part3 User Interface Design
    • Chapter 9 Basic Rules for UI Design
    • Chapter 10 Established Interaction Styles
    • Chapter 11 Basic Patterns for Graphical User Interfaces
  • Part4 Design of Interactive Systems
    • Chapter 12 User-Centered Design
    • Chapter 13 User Requirements
    • Chapter 14 Sketches and Prototypes
    • Chapter 15 Evaluation
  • Part5 Case Study
    • Chapter 16 Somatosensory Interactions
    • Chapter 17 Visualization of Multimedia Collections
    • Chapter 18 Virtual Reality
    • Chapter 19 Multimodal Emotion Recognition
    • Chapter 20 Image Classification based on Deep Learning
  • Test
    • Extended Reading

      Taught by

      Southwest Minzu University

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