Shitsukan Information Based on Correspondences of Physics, Perception, and Affective Evaluations

2019 Fiscal Year Final Research Report

• Project Area: Understanding human recognition of material properties for innovation in SHITSUKAN science and technology
• Project/Area Number: 15H05922
• Research Category: Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
• Allocation Type: Single-year Grants
• Review Section: Complex systems
• Research Institution: The University of Electro-Communications
• Principal Investigator: Sakamoto Maki 電気通信大学, 大学院情報理工学研究科, 教授 (80302826)
• Co-Investigator(Kenkyū-buntansha): 中内 茂樹 豊橋技術科学大学, 工学(系)研究科(研究院), 教授 (00252320)
• Project Period (FY): 2015-06-29 – 2020-03-31
• Keywords: 質感 / 知覚 / 感性 / オノマトペ / データベース / 認知科学 / 知覚情報処理

Outline of Final Research Achievements

This research explored for the texture recognition mechanism by mining the texture of the real world. We aimed to construct the texture engineering that makes use of the texture research in the real world and clarify the texture recognition mechanism by focusing on the construction of the texture database and the onomatopoeia representing the texture. In order to construct the texture database we collected data that links the relationship between the material/surface state and the texture sensation of humans. We collected more than 200 kinds of materials such as wood, metal, paper, synthetic resin, and rubber, and by applying surface treatment such as polishing, we collected combination data of various materials and textures. 2,300 records were accumulated by the end of the research period.

Free Research Field

感性情報学

Academic Significance and Societal Importance of the Research Achievements

海外でも画像データベースに関する研究が行われているが，本研究のように質感情報が充実した画像データベースは，建築・デザインの分野で好んで活用され，さらに学術的な研究においても相互に活用しあえるなど，様々な利用方法が考えられる．そこで，そのような活用が可能なように，実素材の物理量と知覚特性，言語表現がインタラクティブに結びついたデータベースとなるようにした．また，「やわやわ」といった新規性の高いオノマトペで検索しても，そのような質感に近い素材の検索も可能であるようにした．