TOKYO INSTITUTE OF TECHNOLOGY

Course description and aims

Robust, quantitative, psychophysical assessment on the relationship between the physical environment and subjective experience is one of the core skills not only for understanding the human brain functions but also optimizing the machine usability, design, interface, etc. This is the laboratory training course focused on the measurement of the basic seven different brain functions. Each weeks, students run one particular experiment to measure their own subjective experience or behavior, such as attention, walking, eye movement, etc. Then they run the statistical data analysis for the results by themselves. They should hand out a written assignment to show their measurement procedure and to discuss their own result based on the state of the art brain science.

Student learning outcomes

By the end of this course,
1. Students will be able to understand and experience basic eight different subjective experiences and behaviors in the brain science by one's own brain and body.
2. Students will be able to understand the methods, theories, accuracy, and limitations to measure human subjective experience in subjective, quantitative ways.
3. Students will be able to practice the statistics, experimental designs, and filter processing required for the basic data analysis.
4. Students will be able to obtain the basic brain science knowledge to explain the result, and can apply for some user experience measurement on artificial systems, such as virtual reality systems, information devices, lighting systems, medical devices, etc.

Keywords

Brain science, psychophysics, motion capture, eye movement, semantic differential method, Kansei assessment, reversed prism adaptation, EEG, fMRI

Competencies that will be developed

Class flow

Each weeks, students run one particular experiment to measure their own subjective experience or behavior, such as attention, walking, eye movement, etc. Then they run the statistical data analysis for the results by themselves. They should hand out a written assignment to show their measurement procedure and to discuss their own result based on the state of the art brain science.

Course schedule/Required learning

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend a certain length of time outside of class on preparation and review (including for assignments), as specified by the Tokyo Institute of Technology Rules on Undergraduate Learning (東京工業大学学修規程) and the Tokyo Institute of Technology Rules on Graduate Learning (東京工業大学大学院学修規程), for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

N/A

Reference books, course materials, etc.

Handouts.

Assessment criteria and methods

Contribution to the class and assignments given in individual classes.
If misconduct, such as plagiarism or misappropriation of someone else's work is committed, we will treat it strictly： The grade of the subject will be 0.

Related courses

• LST.A410 ： Advanced Neuroscience
• LAH.T309 ： Linguistics C
• MEC.H231 ： Design Engineering
• MEC.L331 ： Basic Bioengineering
• MEC.L431 ： Human Brain Functions and Their Measurements
• ICT.H313 ： Sensation and Perception Systems
• SCE.I531 ： Computer Vision
• ICT.H411 ： Basic Sensation Informatics
• ICT.H514 ： Mechanisms of Visual Perception
• LAT.A405 ： Cognitive Psychology

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Basic knowledge on the cognitive science, human perception, and statistics essential.

Office hours

N/A

Other

Students wishing to attend the first session might want to refer to the following URL.
https://sites.google.com/site/akamatitechlab/coursesbyakama2020_1q