Syllabus data

Academic year
2025Year
Term
Second Semester
Course title
Human Interface
Class type
Lecture
Course title (ENG)
Human Interface
Class code・Class name・Teaching forms
Z0800007 Human Interface
Instructor
KATO Naoto
Credits
2.0Credits
Day and Time
Mon.2Period
Campus
Shinjuku Campus
Location
A-0473教室(大学院工学研究科)

Relationship between diploma policies and this course
A) A high degree of specialized expertise 70%
B) The skills to use science and technology 20%
C) The ability to conduct research independently, knowledge pertaining to society and occupations, and sense of ethics required of engineers and researchers 10%
D) Creative skills in specific areas of specialization 0%
Goals and objectives
This lecture provides an introduction to advanced human-machine interaction technologies. The technologies make it easier for human to operate complicated machines. The lecture goal is to understand and acquire the technologies.
Prerequisites
You should be interested in advanced technology and be conscious of usabilities in your daily life.
Method Using AL・ICT
Discussion Debate/Group Work/Presentation/Practice Fieldwork

Class schedule
The following themes are just planned. They may be changed depending on the progress of the lectures.
1) Introduction
2) Physical characteristic
3) Neurologic characteristic
4) Human behavior and its models
5) Information input and output
6) Usability and design
7) User models
8) Evaluation and improvement
9) Universal Design
10) Advanced human interface technology
11) Generative AI
12) Presentation and discussion of the first issues
13) Presentation and discussion of the second issues
14) Review of these lectures

Evaluation
More than 60 points of average score of the task, presentation and report (100 points perfect score) to be carried out in the course of lecture is passed.
Feedback for students
Comment on each lesson.

Textbooks
No textbook, lecture materials released on KuPORT
Reference materials
No reference

Office hours and How to contact teachers for questions
Questions will be accepted in the lecture room before or after the lecture.
Message for students
インターフェース技術とともに、それを支える最先端技術「生成AI」についても講義する予定である。

Course by professor with work experience
Applicable
Work experience and relevance to the course content if applicable
Research for natural language processing and accessibility

Teaching profession course
Informatics Program