| Academic Year |
2026Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Informatics and Data Science Program |
| Lecture Code |
WSN24001 |
Subject Classification |
Specialized Education |
| Subject Name |
Kansei Informatics |
Subject Name
（Katakana） |
カンセイインフォーマティクス |
Subject Name in
English |
Kansei Informatics |
| Instructor |
ADILIN ANUARDI |
Instructor
(Katakana) |
アディリン アヌアルディ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 4Term |
| Days, Periods, and Classrooms |
(4T) Weds5-8 |
| Lesson Style |
Lecture/Seminar |
Lesson Style
(More Details) |
Face-to-face, Online (simultaneous interactive), Online (on-demand) |
| Lecture-based, exercise-based, discussion, presentations |
| Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
E
:
English |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
10
:
Integrated Engineering |
| Eligible Students |
|
| Keywords |
Kansei/Affective, human factor |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
1. To understand the concept of Kansei including human-oriented design, ergonomics, and customer-centered product development.
2. To understand basic methods for measuring and quantifying Kansei.
3. To reflect on the integration of Kansei, human factors and next-generation AI technologies. |
| Class Schedule |
lLesson 1 — Introduction to Kansei
Lesson 2 — Kansei & Ergonomics (Human Factor)
Lesson 3 — Kansei Applications
Lesson 4 — Kansei, AI, and Future Technology
Lesson 5 — Methods for Measuring Kansei
Lesson 6 — Statistical Analysis for Kansei
Lesson 7 — Final Assignment |
Text/Reference
Books,etc. |
Related books are instructed during class. |
PC or AV used in
Class,etc. |
Text, Handouts, Visual Materials, Microsoft Teams, Microsoft Forms, moodle |
| (More Details) |
|
| Learning techniques to be incorporated |
Discussions, Quizzes/ Quiz format, Post-class Report |
Suggestions on
Preparation and
Review |
Follow instructions at the guidance and each class. |
| Requirements |
|
| Grading Method |
Active participation in classes, assignments, and term-end reports/presentations. These will be evaluated as a whole. |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
Any changes to class content will be announced in advance through Moodle/Teams. |
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |