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Affective Taste Evaluation System Using Sound Symbolic Words

  • Tomohiko Inazumi
  • Jinhwan KwonEmail author
  • Kohei Suzuki
  • Maki Sakamoto
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 774)

Abstract

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.

Keywords

Affective system Human-systems integration Taste Sound-symbolic words 

Notes

Acknowledgments

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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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Tomohiko Inazumi
    • 1
  • Jinhwan Kwon
    • 1
    Email author
  • Kohei Suzuki
    • 1
  • Maki Sakamoto
    • 1
  1. 1.Graduate School of Informatics and EngineeringThe University of Electro-CommunicationsChofuJapan

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