Affective Taste Evaluation System Using Sound Symbolic Words
Language and emotions play an important role in affective computing and advancement of artificial intelligence. Sound-symbolic words (SSWs) have become increasingly important for meaningful descriptions of perceptual experiences as a detailed and reliable vocabulary. In this research, we constructed a system for quantifying texture/taste impressions expressed by SSWs. This system decomposes input SSW into phoneme elements and refers to the category quantity of each phoneme element for each adjective scale referring to a quantitative rating database. Then, the system displays the evaluation values calculated by impression-rating predictive model. We anticipate that this system will be able to support food development and recommendation of food name which expresses the impression of goods.
KeywordsAffective system Human-systems integration Taste Sound-symbolic words
This work was supported by Grant-in-Aid for Scientific Research (A) Grant Number 15H01720), a Grant-in-Aid for Scientific Research on Innovative Areas “Shitsukan” (Grant Number 23135510 and 25135713), and JSPS KAKENHI Grant Number 15H05922 (Grant-in-Aid for Scientific Research on Innovative Areas “Innovative SHITSUKSAN Science and Technology”) from MEXT, Japan.
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