Affective Computing

Course Purpose
The purpose of this course is for students to learn the basic concept and process methods of 'Affective Computing'.
Learning Goals
Students will understand the basic concept and process methods of 'Affective computing', and also the actual examples of Kansei support/agent systems.
Topic
Session 1What is Kansei information processing?
Session 2Kansei information processing method 1 (Psychological measurement method) Paired comparison method experiment
Session 3Kansei information processing method 2 (Statistical analysis method / How to write a report)
Session 4Kansei information processing method 3 (Machine learning algorithm)
Session 5Kansei information processing method 4 (AI / Data mining)
Session 6Kansei information processing method 5 (Simulation method)
Session 7Five senses and sensibilities 1 (Brain and vision)
Session 8Five senses and sensibilities 2 (Hearing and multi-modality)
Session 9Five senses and sensibilities 3 (Tactile, taste, and smell)
Session 10Five senses and sensibilities 4 (Various senses)
Session 11Physiology / Psychology / Brain activity 1
Session 12Physiology / Psychology / Brain activity 2
Session 13Physiology / Psychology / Brain activity 3
Session 14Music / Design / Topics introduction
＊＊This content is based on April 1, 2024. For the latest syllabus information and details, please check the syllabus information inquiry page provided by the university.＊＊