Researcher Database

（Last updated : 2020-09-29 17:36:04）　

MUNEMOTO Shinsaku

Department / Course College of Science and Engineering Department of Architecture and Urban Design

Title / Position Professor

Other Affiliations
1.	Graduate School of Science and Engineering
2.	Kinugasa Research Organization Institute of Disaster Mitigation for Urban Cultural Heritage

Academic background
1.	～2008/09	Doctorial Course │ Department of Architecture and Architectural Engineering │ Graduate School, Division of Engineering │ Kyoto University │ Completed Dr.Eng
2.	～2010/03	NanoMedicin Merger Education Unit │ Kyoto University │ Completed
3.	～1996/03	Department of Architecture │ Faculty of Engineering │ Kyoto University │ Graduated
4.	～1998/03	Master Course │ Department of Architecture and Architectural Engineering │ Graduate School, Division of Engineering │ Kyoto University │ Completed

Research activities
1.		Kyoto Society of Architects & Building Engineers
2.		Japan Society of Kansei Engineering
3.		The Japan Institute of Architects
4.		The Japan Institute of Architects
5.		Architectural Institute of Japan
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Qualification and license
1.	1995	一級建築士(第287627号)

Subject of research
1.	A Study on Design Method Based on Physiological Evidence
2.	A Study on Design Method Incorporating with Sensibility Evaluation
3.	A Study on Design Method using Mathematical Methods

Research summary
Study to grasp the relationship between cities and architectural space and human sensation, cognition, and behavior and how to reflect it on to architectural planning and design methods To plan and design rational architecture based on human sensation, behavior, and physiological reaction is important. However, the designer does not have a clear basis in the creation of architectural designs aimed at obtaining specific impressions or receiving good evaluation. Although there are many basic theories and rules in architectural planning studies, the final design is based on the individual sensation and knowledge of the designer. This makes it extremely difficult to make a theoretical explanation of the process of creating the design by the designer and its mechanism has hardly been explained. Till now, sensitivity was believed to be the driving force for human behavior and design creativity and studies have been made for design methods incorporating sensitivity. This is to elicit a design solution taking the behavior of human sensitivity and the architecture (environment) as a system, by the creation of a model between the preference of the user and the elements that comprise the space as a knowledge to be shared with others. In recent years, human monitoring technology and non-linear analysis methods have enabled the complex relationship between architecture, the space in the cities, and human sensation, cognition, and behavior to be handled as it is in its vague condition. Using these methods, attempt is being made aiming at architecture to be more rational for people, by creating a model of human sensation, sense of vision, and physiological reaction of the brain to establish a design method using physiological evidence, for incorporation into design methods.

Present specialized field
Soft computing, Kansei informatics, Town planning/ Architectural planning, Architectural History/Design (Keyword：Architectural Planning, Design Method, Exhibition Planning, Floor Layout, Spatial Element Sensibility Evaluation , Spatial preference, Impression Design knowledge, Probabilistic Reasoning Optimization, Rough Set Theory, Bayesian Network, Self-Organizing Maps,)

Books
1.	2019/10	HAN’S VILLA │ ,pp.52-57

Papers
1.	2012/06	A METHODOLOGY FOR EVALUATION OF THE LEVEL OF NATURAL　SURVEILLANCE　AT ELEMENTARY SCHOOLS -Measurement of three dimensional visibility of windows using CG models and their potential applications- │ 77(676),pp.1309-1318
2.	2010/02	A STUDY ON SPACE DESIGN METHOD INCORPORATING WITH KNOWLEDGE OF VISITOR'S PREFERENCE FOR SPACE │ 16 (32),pp.393-398
3.	2007/08	A STUDY ON PROBABILISTIC MODEL OF PREFERENCE FOR SPACE USING BAYESIAN NETWORK -A case of planning for special exhibition Part2- │ 618,pp.173-179
4.	2000/03	FINDING AN OPTIMAL FLOOR LAYOUT BASED ON AN ORTHOGONAL GRAPH DRAWING ALGORITHM : Interactive multiobjective optimization using tabu search │ 529,pp.279-286

Academic conference presentation
1.	2018/11	22 Pieces
2.	2018/10	Green Hill
3.	2017/11	H-House
4.	2016/11	Obama Tourist Information Center
5.	2015/10	SKY BUILDING
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