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2025 (Current Year) Faculty Courses School of Computing Department of Computer Science Graduate major in Computer Science

Human Computer Interaction

Academic unit or major
Graduate major in Computer Science
Instructor(s)
Hideki Koike / Natsue Yoshimura
Class Format
Lecture (HyFlex)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
5-6 Mon (S2-202(S223)) / 5-6 Thu (S2-202(S223))
Class
-
Course Code
CSC.T421
Number of credits
200
Course offered
2025
Offered quarter
1Q
Syllabus updated
Apr 2, 2025
Language
English

Syllabus

Course overview and goals

This course introduces the computer foundation, cognitive model, and design methods for human-computer interaction.
1) Introduction of multimodal processing, extended senses as VR/AR, and cooperative support techniques such as CSCW or groupware.
2) Introduction of real-world computing such as the next generation of interactive systems.
3) Explanation of the types of biological signals applicable to HCI.
4) Explanation of the biosignal-based HCI for better quality of life (QOL).

Course description and aims

(Koike)
1) Have an understanding of the research background, design concept and constitutive principles of current typical HCI system and advanced HCI system.
2) Acquire the ability to design and implement techniques of typical HCI system.
(Yoshimura)
1) Have an understanding of biological signals applicable to the evaluation and implementation of HCI.
2) Have an understanding of purpose, design, evaluation, methods, and potential applications of biosignal-based HCI.

Keywords

(Koike) Interactive systems, Graphics, Vision, Device programming
(Yoshimura) Biological signals, Design, Evaluation, Quality of Life, Application

Competencies

  • Specialist skills
  • Intercultural skills
  • Communication skills
  • Critical thinking skills
  • Practical and/or problem-solving skills

Class flow

(Koike) Lecture and implementation report of the project task.
(Yoshimura) Lecture and report of the project task.

Course schedule/Objectives

Course schedule Objectives
Class 1

Introduction

Explain course description and aims

Class 2

Computer foundation of interaction (1)

Understand GUI and Hypermedia

Class 3

Computer foundation of interaction (2)

Understand Vision-based HCI

Class 4

Computer foundation of interaction (3)

Understand Information Visualization

Class 5

Computer foundation of interaction (4)

Understand Virtual reality/Augmented reality

Class 6

Computer foundation of interaction (5)

Understand CSCW

Class 7

Computer foundation of interaction (6)

Understand Human Augmentation

Class 8

HCI and Biological signals (1)

Understand the types of human biological signals

Class 9

HCI and Biological signals (2)

Understand the application of heart rate and pulse wave to HCI

Class 10

HCI and Biological signals (3)

Understand the application of muscle activity signals to HCI

Class 11

HCI and Biological signals (4)

Understand the application of brain activity signals to HCI1

Class 12

HCI and Biological signals (5)

Understand the application of brain activity signals to HCI2

Class 13

HCI and Biological signals (6)

Understand the application of brain activity signals to HCI3

Class 14

Summary: Possibility of biosignal-based HCIs

Discuss the possibility of biosignal-based HCI for future

Study advice (preparation and review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

None required.

Reference books, course materials, etc.

Copy of in-class slides is provided during class.

Evaluation methods and criteria

Submission of reports (100%).

Related courses

  • None required.

Prerequisites

None required.

Other

None required.