AHA42001 Perceptual and Cognitive Psychology

Hiroshima University Syllabus

Japanese

Academic Year 2025Year School/Graduate School School of Integrated Arts and Sciences Department of Integrated Arts and Sciences

Lecture Code AHA42001 Subject Classification Specialized Education

Subject Name 知覚・認知心理学

Subject Name
（Katakana）チカク・ニンチシンリガク

Subject Name in
English Perceptual and Cognitive Psychology

Instructor YOSHIMOTO SANAE

Instructor
(Katakana) ヨシモト　サナエ

Campus Higashi-Hiroshima Semester/Term 2nd-Year, First Semester, 1Term

Days, Periods, and Classrooms (1T) Weds1-4：IAS K109

Lesson Style Lecture Lesson Style
(More Details) Face-to-face

Lecture, Discussion

Credits 2.0 Class Hours/Week 4 Language of Instruction J : Japanese

Course Level 2 : Undergraduate Low-Intermediate

Course Area（Area） 24 : Social Sciences

Course Area（Discipline） 06 : Psychology

Eligible Students

Keywords Visual perception, Color vision, Aesthetics, Image recognition, Artificial intelligence (AI), Neural networks

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) This course is designed as an introductory to intermediate level lecture course to provide students with the knowledge (particularly in perceptual/cognitive psychology and vision science) to conduct psychological and behavioral research.
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)

Class Objectives
/Class Outline Class Objectives
1) Acquire an understanding of the mechanisms of human visual processing and its applications.
2) Understand the relationship between visual perception and image recognition.

Class Outline
The human sensory system processes various inputs from the external world in the brain to perceive and recognize objects. This course provides a comprehensive understanding of the neural mechanisms of the eyes and brain that enable visual perception. Additionally, based on human visual characteristics, we will explore applied aspects such as color universal design and the creation of visually safe content. Furthermore, research on deep learning, a machine learning technique in artificial intelligence (AI), originates from modeling neural networks in the brain. Perceptual and cognitive psychology have played a significant role in its advancement. This course also provides an opportunity to understand the relationship between visual perception and image recognition.

Class Schedule lesson1 Introduction: Visual Perception and Psychology
lesson2 Fundamentals of Vision: Ocular Optics and Retina
lesson3 Physics of Color: Wavelengths, Primary Colors, and Color Mixing
lesson4 Physiology of Color: Trichromatic Theory, Opponent Process Theory, and Physiological Mechanisms
lesson5 Spatiotemporal Characteristics of Vision
lesson6 Shape Perception
lesson7 Motion Perception and Stereopsis
lesson8 Infant Vision
lesson9 Diversity in Color Perception and Color Universal Design
lesson10 Vision and Aesthetics (1): Visual Perception and Image Statistics
lesson11 Vision and Aesthetics (2): Risks and Safety of Visual Content
lesson12 Structure of Neural Networks in the Brain
lesson13 Deep Learning and Image Recognition
lesson14 Structure of Convolutional Neural Networks
lesson15 Summary

A quiz will be conducted during lesson8, and a final exam will be administered.

The schedule and content are subject to change depending on the progress of the course.

Text/Reference
Books,etc. This course does not use a textbook. Reference materials will be introduced as needed during the lectures.

PC or AV used in
Class,etc. Text, Handouts, Visual Materials, Other (see [More Details]), moodle

(More Details) PC-necessary

Learning techniques to be incorporated Discussions, Quizzes/ Quiz format, PBL (Problem-based Learning)/ TBL (Team-based Learning), Post-class Report

Suggestions on
Preparation and
Review lesson1 Understand that vision is a psychological phenomenon.
lesson2 Understand the structure and function of the eye, and how visual information is obtained from the external world.
lesson3 Understand the relationship between the wavelength of light and color.
lesson4 Understand how color information is processed and perceived.
lesson5 Understand the spatiotemporal characteristics of vision and their measurement methods.
lesson6 Understand how the shape of objects is extracted and recognized.
lesson7 Understand how the motion and 3D structure of objects are extracted and recognized.
lesson8 Review the basic mechanisms of visual perception and understand its developmental process.
lesson9 Understand individual differences in color perception and consider color universal design.
lesson10 Understand how image statistics are used in visual perception and Aesthetic judgment.
lesson11 Understand the risks hidden in visual content and think about ways to enjoy it safely.
lesson12 Understand the structure and function of neural networks.
lesson13 Understand the mechanism of image recognition through deep learning.
lesson14 Understand the relationship between vision and convolutional neural networks.
lesson15 Review and understand the application of basic mechanisms of visual cognition to real-world situations.

Requirements None

Grading Method In-class report (20%), Quiz completion (30%), Final Exam Mark (50%)

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message Bring a laptop.

Other

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.

Academic Year	2025Year	School/Graduate School	School of Integrated Arts and Sciences Department of Integrated Arts and Sciences
Lecture Code	AHA42001	Subject Classification	Specialized Education
Subject Name	知覚・認知心理学
Subject Name （Katakana）	チカク・ニンチシンリガク
Subject Name in English	Perceptual and Cognitive Psychology
Instructor	YOSHIMOTO SANAE
Instructor (Katakana)	ヨシモト　サナエ
Campus	Higashi-Hiroshima	Semester/Term	2nd-Year, First Semester, 1Term
Days, Periods, and Classrooms	(1T) Weds1-4：IAS K109
Lesson Style	Lecture	Lesson Style (More Details)	Face-to-face
Lecture, Discussion
Credits	2.0	Class Hours/Week	4	Language of Instruction	J : Japanese
Course Level	2 : Undergraduate Low-Intermediate
Course Area（Area）	24 : Social Sciences
Course Area（Discipline）	06 : Psychology
Eligible Students
Keywords	Visual perception, Color vision, Aesthetics, Image recognition, Artificial intelligence (AI), Neural networks
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)	This course is designed as an introductory to intermediate level lecture course to provide students with the knowledge (particularly in perceptual/cognitive psychology and vision science) to conduct psychological and behavioral research.
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)
Class Objectives /Class Outline	Class Objectives 1) Acquire an understanding of the mechanisms of human visual processing and its applications. 2) Understand the relationship between visual perception and image recognition. Class Outline The human sensory system processes various inputs from the external world in the brain to perceive and recognize objects. This course provides a comprehensive understanding of the neural mechanisms of the eyes and brain that enable visual perception. Additionally, based on human visual characteristics, we will explore applied aspects such as color universal design and the creation of visually safe content. Furthermore, research on deep learning, a machine learning technique in artificial intelligence (AI), originates from modeling neural networks in the brain. Perceptual and cognitive psychology have played a significant role in its advancement. This course also provides an opportunity to understand the relationship between visual perception and image recognition.
Class Schedule	lesson1 Introduction: Visual Perception and Psychology lesson2 Fundamentals of Vision: Ocular Optics and Retina lesson3 Physics of Color: Wavelengths, Primary Colors, and Color Mixing lesson4 Physiology of Color: Trichromatic Theory, Opponent Process Theory, and Physiological Mechanisms lesson5 Spatiotemporal Characteristics of Vision lesson6 Shape Perception lesson7 Motion Perception and Stereopsis lesson8 Infant Vision lesson9 Diversity in Color Perception and Color Universal Design lesson10 Vision and Aesthetics (1): Visual Perception and Image Statistics lesson11 Vision and Aesthetics (2): Risks and Safety of Visual Content lesson12 Structure of Neural Networks in the Brain lesson13 Deep Learning and Image Recognition lesson14 Structure of Convolutional Neural Networks lesson15 Summary A quiz will be conducted during lesson8, and a final exam will be administered. The schedule and content are subject to change depending on the progress of the course.
Text/Reference Books,etc.	This course does not use a textbook. Reference materials will be introduced as needed during the lectures.
PC or AV used in Class,etc.	Text, Handouts, Visual Materials, Other (see [More Details]), moodle
(More Details)	PC-necessary
Learning techniques to be incorporated	Discussions, Quizzes/ Quiz format, PBL (Problem-based Learning)/ TBL (Team-based Learning), Post-class Report
Suggestions on Preparation and Review	lesson1 Understand that vision is a psychological phenomenon. lesson2 Understand the structure and function of the eye, and how visual information is obtained from the external world. lesson3 Understand the relationship between the wavelength of light and color. lesson4 Understand how color information is processed and perceived. lesson5 Understand the spatiotemporal characteristics of vision and their measurement methods. lesson6 Understand how the shape of objects is extracted and recognized. lesson7 Understand how the motion and 3D structure of objects are extracted and recognized. lesson8 Review the basic mechanisms of visual perception and understand its developmental process. lesson9 Understand individual differences in color perception and consider color universal design. lesson10 Understand how image statistics are used in visual perception and Aesthetic judgment. lesson11 Understand the risks hidden in visual content and think about ways to enjoy it safely. lesson12 Understand the structure and function of neural networks. lesson13 Understand the mechanism of image recognition through deep learning. lesson14 Understand the relationship between vision and convolutional neural networks. lesson15 Review and understand the application of basic mechanisms of visual cognition to real-world situations.
Requirements	None
Grading Method	In-class report (20%), Quiz completion (30%), Final Exam Mark (50%)
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message	Bring a laptop.
Other
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.

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