A study of Kansei design methodology by fusion with natural language processing and network technology

2015 Fiscal Year Final Research Report

• Project/Area Number: 23700251
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Sensitivity informatics/Soft computing
• Research Institution: Gifu Shotoku Gakuen University
• Principal Investigator: Yamamoto Eiko 岐阜聖徳学園大学, 経済情報学部, 准教授 (90450692)
• Project Period (FY): 2011-04-28 – 2016-03-31
• Keywords: 自然言語処理 / 連想 / ネットワーク構築 / 印象分析 / 感性デザイン

Outline of Final Research Achievements

We have aimed to establish a methodology to capture sensitivity (Kansei) from the impression for things and propose a sensitivity design method based on evaluation by the methodology. As a first step, based on the idea that expressing the impression of things corresponds to associating the concept from things, we proposed a method for simulating and visualizing the impression, according to qualitatively handle the impression with words and supplement the quantitative representation by constructing a network consisting of those words.

Free Research Field

自然言語処理