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SEMINAR B(1)
| Lecturer(s) | OKOSHI, TADASHI |
|---|---|
| Credit(s) | 2 |
| Academic Year/Semester | 2025 Fall |
| Day/Period | Thu.4 |
| Campus | SFC |
| Class Format | Face-to-face classes (conducted mainly in-person) |
| Registration Number | 30010 |
| Faculty/Graduate School | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
| Year Level | 1, 2, 3, 4 |
| Field | RESEARCH SEMINARS SEMINARS |
| Grade Type | This item will appear when you log in (Keio ID required). |
| Related Classes | B3202 情報と社会のデータサイエンス/DATA SCIENCE FOR INFORMATION AND SOCIETY B3204 医療・健康のデータサイエンス/DATA SCIENCE FOR HEALTH CARE B3209 問題発見・解決のための数学リテラシー/MATHEMATICAL LITERACY FOR PROBLEM FINDING AND SOLVING B3210 統計解析/STATISTICAL ANALYSIS B4002 情報基礎２/FUNDAMENTALS OF INFORMATION TECHNOLOGY 2 B4003 システムプログラミング基礎/FUNDAMENTALS OF SYSTEM PROGRAMMING B4004 オブジェクト指向プログラミング基礎/FUNDAMENTALS OF OBJECT-ORIENTED PROGRAMMING B4005 スクリプト言語プログラミング基礎/FUNDAMENTALS OF PROGRAMMING WITH SCRIPT LANGUAGES B6047 インターネット/INTRODUCTION TO THE INTERNET B6137 ネットワークアーキテクチャ/NETWORK ARCHITECTURE B6138 ソフトウェアアーキテクチャ/SOFTWARE ARCHITECTURE B6144 情報数学/MATHEMATICS FOR INFORMATION SCIENCE C2073 スマートデバイスプログラミング/PROGRAMMING ON MOBILE DEVICES C2072 システムプログラミング/SYSTEM PROGRAMMING C2086 コンピュータアーキテクチャ/COMPUTER ARCHITECTURE C2087 オペレーティングシステム/OPERATING SYSTEMS C2089 インターネットの設計と運用/DESIGN AND OPERATION OF THE INTERNET C2096 モバイルネットワーク論/MOBILE NETWORK C2097 ユビキタスサービス論/UBIQUITOUS INFORMATION SERVICE C2115 ヒューマンコンピュータインタラクション/HUMAN COMPUTER INTERACTION |
| Recommended Knowledge | There are international students in my lab. If you have any questions regarding the language issue, please let us know. We can introduce you to existing international students. |
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| Location | SFC |
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Student Screening Courses requiring entry to selection should be registered via SOL-A. *Only students who have a CNS account and who are not students of the Faculty of Policy Studies, Faculty of Environment and Information Studies, Graduate School of Media and Governance, Faculty of Nursing and Medical Care, and Graduate School of Health Management can enter via the system. Please check K-Support News for the details. | This item will appear when you log in (Keio ID required). |
| Contact(Mail) | This item will appear when you log in (Keio ID required). |
| K-Number | FPE-CO-05003-211-60 |
| Course Administrator | Faculty/Graduate School | FPE | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
|---|---|---|---|
| Department/Major | CO | ||
| Main Course Number | Level | 0 | Faculty-wide |
| Major Classification | 5 | Research Seminars | |
| Minor Classification | 00 | Seminar | |
| Subject Type | 3 | Elective subject | |
| Supplemental Course Information | Class Classification | 2 | Lecture |
| Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
| Language of Instruction | 1 | Japanese | |
| Academic Discipline | 60 | Information science, computer engineering, and related fields | |
Course Summary
With the advancement of ubiquitous computing and ubiquitous AI, computers have become faster, more capacious, smaller, and more wireless, leading to their widespread integration into our daily lives.
This research group, grounded in computer science and informatics, takes a long-term perspective of over ten years into the future. It focuses on investigating specific aspects of well-being (whether mental, physical, or social) that individuals prioritize in their future lives, both in physical and cyber spaces. To this end, we will research and develop technologies for (1) acquiring relevant information through IT/AI-based sensing and recognition technologies, as well as (2) information presentation technologies that support behavioral change to help individuals move toward improved states of well-being.
This research group, grounded in computer science and informatics, takes a long-term perspective of over ten years into the future. It focuses on investigating specific aspects of well-being (whether mental, physical, or social) that individuals prioritize in their future lives, both in physical and cyber spaces. To this end, we will research and develop technologies for (1) acquiring relevant information through IT/AI-based sensing and recognition technologies, as well as (2) information presentation technologies that support behavioral change to help individuals move toward improved states of well-being.
Course Description/Objectives/Teaching Method/Intended Learning Outcome
== Content ==
Participants in this research group will primarily acquire knowledge and skills in computer science and informatics while also gaining insights into human behavior and internal states through disciplines such as cognitive psychology and physiology. Specifically, the research will address the following topics:
- Sensing Technologies for Diverse Human Characteristics, Internal States, and Behaviors: This includes research and development of technologies for recognizing human traits (e.g., personality), internal states (e.g., emotions and mood), and behaviors using sensor data from mobile and wearable devices, biometric sensors, IoT sensors, and social media. These efforts will leverage AI techniques, including deep learning and generative models, to model and analyze the collected data.
- Foundational Technologies for Information Presentation to Promote Human Transformation: While humans benefit from the return of information derived from the digital world, there remain challenges in bridging information reception and meaningful changes in mindset and behavior. This research will develop and evaluate foundational technologies and systems to enhance these transformations using platforms such as Mixed Reality (MR), Augmented Reality (AR), Virtual Reality (VR), and mobile/wearable devices. Adaptive approaches driven by AI technologies will tailor information presentations to individual states, aiming to facilitate behavior and mindset shifts effectively.
- *Of course, your own original reserach idea is abosolutely welcome! (This is one of the defining characteristics that makes SFC truly unique.)
== Methodology ==
Our research group focuses on computer science and informatics. Members are encouraged to engage deeply with programming, computers, and AI in their daily work. Those who *LOVE* computers, networks, and AIs, welcome!!
== Goals ==
In this research group, we emphasize the following:
1. Constructing and evaluating systems through hands-on research activities.
2. Demonstrating the real-world applicability of these systems by participating in collaborative projects with universities (e.g., University of Tokyo, Kyoto University, Carnegie Mellon University, University of Washington, Yonsei University, Peking University, University of Cambridge, Oulu University, etc.), research institutions, corporations, and local governments.
3. Publishing research findings through paper submissions to international conferences such as ACM and IEEE, sharing software, and conducting demonstrations to disseminate results globally.
Students are strongly encouraged to actively participate in these diverse research activities and gain valuable experience in global academic and practical engagements. Let’s enjoy this journey together!
Participants in this research group will primarily acquire knowledge and skills in computer science and informatics while also gaining insights into human behavior and internal states through disciplines such as cognitive psychology and physiology. Specifically, the research will address the following topics:
- Sensing Technologies for Diverse Human Characteristics, Internal States, and Behaviors: This includes research and development of technologies for recognizing human traits (e.g., personality), internal states (e.g., emotions and mood), and behaviors using sensor data from mobile and wearable devices, biometric sensors, IoT sensors, and social media. These efforts will leverage AI techniques, including deep learning and generative models, to model and analyze the collected data.
- Foundational Technologies for Information Presentation to Promote Human Transformation: While humans benefit from the return of information derived from the digital world, there remain challenges in bridging information reception and meaningful changes in mindset and behavior. This research will develop and evaluate foundational technologies and systems to enhance these transformations using platforms such as Mixed Reality (MR), Augmented Reality (AR), Virtual Reality (VR), and mobile/wearable devices. Adaptive approaches driven by AI technologies will tailor information presentations to individual states, aiming to facilitate behavior and mindset shifts effectively.
- *Of course, your own original reserach idea is abosolutely welcome! (This is one of the defining characteristics that makes SFC truly unique.)
== Methodology ==
Our research group focuses on computer science and informatics. Members are encouraged to engage deeply with programming, computers, and AI in their daily work. Those who *LOVE* computers, networks, and AIs, welcome!!
== Goals ==
In this research group, we emphasize the following:
1. Constructing and evaluating systems through hands-on research activities.
2. Demonstrating the real-world applicability of these systems by participating in collaborative projects with universities (e.g., University of Tokyo, Kyoto University, Carnegie Mellon University, University of Washington, Yonsei University, Peking University, University of Cambridge, Oulu University, etc.), research institutions, corporations, and local governments.
3. Publishing research findings through paper submissions to international conferences such as ACM and IEEE, sharing software, and conducting demonstrations to disseminate results globally.
Students are strongly encouraged to actively participate in these diverse research activities and gain valuable experience in global academic and practical engagements. Let’s enjoy this journey together!
Research Seminar Theme
Computing/AI Technologies for Cyber-Physical Well-Being
Project Theme (next semester)
Research on Cyber Perceptual Sensations for Enhancing Online Empathy Estimation (pj-Cybero)
Research on Integrated Platform Technologies for Information Presentation Methods to Accelerate Behavioral Change (pj-LC)
ShonanFutureVerse: A CPS Platform for High-Resolution Backcasting Based on a Virtual Future City Vision (pj-SFV)
Research on Integrated Platform Technologies for Information Presentation Methods to Accelerate Behavioral Change (pj-LC)
ShonanFutureVerse: A CPS Platform for High-Resolution Backcasting Based on a Virtual Future City Vision (pj-SFV)
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