Mental and Physical Well-being for Sustainable Space Design

 

Summary

While no internationally standardized methodology for quantitatively assessing well-being has yet been established, Mitsukura and colleagues have pioneered a groundbreaking approach, successfully developing a method to measure stress, emotions, and other well-being-related states using the Kansei Analyzer. Building on this achievement, the present study aims to validate and apply a framework for quantitative well-being assessment based on neuro-chemical markers--such as dopamine, serotonin, and oxytocin--that can be inferred through the Kansei Analyzer, thereby capturing the dynamic states of both mind and body. In alignment with Japan's regional revitalization policies, we will establish nationwide living labs in diverse test sites--including revitalized traditional houses, co-working spaces, and accommodations in hot spring regions--to develop practical methods for evaluating well-being in various spatial contexts. Furthermore, by integrating generative AI for multidimensional and holistic well-being evaluation, this project seeks to lay the foundation for next-generation spatial design research that contributes to sustainable future societies.

SDGs

4. QUALITY EDUCATION 4. QUALITY EDUCATION
8. DECENT WORK AND ECONOMIC GROWTH 8. DECENT WORK AND ECONOMIC GROWTH
9. INDUSTRY, INNOVATION AND INFRASTRUCTURE 9. INDUSTRY, INNOVATION AND INFRASTRUCTURE
10. REDUCED INEQUALITIES 10. REDUCED INEQUALITIES
11. SUSTAINABLE CITIES AND COMMUNITIES 11. SUSTAINABLE CITIES AND COMMUNITIES
17. PARTNERSHIPS FOR THE GOALS 17. PARTNERSHIPS FOR THE GOALS

Operational Period

2025/12/01~2028/03/31

Members

◎ indicates the project leader

◎ Yoshiki Yamagata Graduate School of System Design and Management Professor Sustainability and Environmental Studies
Toshiro Inaba Graduate School of System Design and Management Project Professor Regional Revitalization and Medicine
Shohei Oka Graduate School of System Design and Management Project Assistant Professor Urban Planning and Architecture
Riki Kato Graduate School of System Design and Management Project Assistant Professor Office Design and Management Studies
Yasue Mitsukura Faculty of Science and Technology Professor EEG and Bio signal Processing, Holmone Intelligence
Shun Kawakubo Faculty of Science and Technology Associate Professor Sustainability Design
Ami Ogawa Faculty of Science and Technology Assistant Professor Smart Wellness Housing