Presentation 2021-09-17
Beverage's preference estimation based on emotional reaction and EEG activity
Kuangzhe Xu, Kenji Katahira, Yoichi Yamazaki, zhang fan, Naoki Nishida, Yuichiro Tamai, Naoyuki Matsuzaki, Noriko Nagata,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, many studies have tried to quantify Kansei values and found that human psychological and physiological reactions have certain effects. To further examine the relationships among psychological reactions, physiological reactions, and Kansei values, the main purpose of this study is to construct a predictive model for beverage preference evaluation. However, we found that the problem of how to obtain psychological and physiological reaction data without affecting people’s Kansei value evaluations has not been solved well. Therefore, this study proposes using an arm robot instead of a human to perform a series of actions when drinking, which solves the problem of measuring psychological and physiological reactions simultaneously. Using the psychological and physiological reactions collected by this method, we completed a predictive model of people’s preference evaluations. Our model’s prediction accuracy is higher than that of the model using psychological evaluation or physiological reaction alone. This result proves again that psychological and physiological reactions do affect people’s preference evaluation simultaneously. Through the model comparison, we also get the result that the evaluation of people’s preference for beverages has been formed in tasting the beverages in the mouth.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Estimated model / Conscious and unconscious psychological reactions / Kansei value
Paper # HIP2021-27
Date of Issue 2021-09-09 (HIP)

Conference Information
Committee HIP
Conference Date 2021/9/16(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online (Zoom)
Topics (in Japanese) (See Japanese page)
Topics (in English) Face & Body, etc.
Chair Shuichi Sakamoto(Tohoku Univ.)
Vice Chair Yuji Wada(Ritsumeikan Univ.) / Sachiko Kiyokawa(Nagoya Univ.)
Secretary Yuji Wada(NTT) / Sachiko Kiyokawa(NICT)
Assistant Yuki Yamada(Kyushu Univ.) / Daisuke Tanaka(Tottori Univ.) / Ippei Negishi(Kanazawa Inst. of Tech.)

Paper Information
Registration To Technical Committee on Human Information Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Beverage's preference estimation based on emotional reaction and EEG activity
Sub Title (in English)
Keyword(1) Estimated model
Keyword(2) Conscious and unconscious psychological reactions
Keyword(3) Kansei value
1st Author's Name Kuangzhe Xu
1st Author's Affiliation Kwansei Gakuin University(KGU)
2nd Author's Name Kenji Katahira
2nd Author's Affiliation Waseda University(WU)
3rd Author's Name Yoichi Yamazaki
3rd Author's Affiliation Kwansei Gakuin University(KGU)
4th Author's Name zhang fan
4th Author's Affiliation Kwansei Gakuin University(KGU)
5th Author's Name Naoki Nishida
5th Author's Affiliation Kwansei Gakuin University(KGU)
6th Author's Name Yuichiro Tamai
6th Author's Affiliation Kwansei Gakuin University(KGU)
7th Author's Name Naoyuki Matsuzaki
7th Author's Affiliation Suntory Global Innovation Center Limited(Suntory Global Innovation Center)
8th Author's Name Noriko Nagata
8th Author's Affiliation Kwansei Gakuin University(KGU)
Date 2021-09-17
Paper # HIP2021-27
Volume (vol) vol.121
Number (no) HIP-177
Page pp.pp.31-36(HIP),
#Pages 6
Date of Issue 2021-09-09 (HIP)