Classification of EGC output and Mental State Transition Networkusing Self Organizing Map

URI http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/9430
ファイル
タイトル
Classification of EGC output and Mental State Transition Networkusing Self Organizing Map
著者
氏名 MERA Kazuya
ヨミ メラ カズヤ
別名 目良 和也
氏名 ICHIMURA Takumi
ヨミ イチムラ タクミ
別名 市村 匠
抄録

Mental State Transition Network which consists
of mental states connected one another is a basic concept of
approximating to human psychological and mental responses. It
can represent transition from an emotional state to other one
with stimulus by calculating Emotion Generating Calculations
method. However, this method ignores most of emotions except
for an emotion which has the strongest effect although EGC can
calculate the degree of 20 emotions in parallel. In this paper,
we investigate the discrepancy between the group of emotions
by EGC and the clustering results of the relation of sentences
and their emotions by Self Organizing Map. Mental state transits
based on the group of emotions on the map. For example, a set
of emotions in a group transits the mental state “happy,” and
negative mental state is enfeebled.
Index Terms—Emotion Oriented Interface, Emotion Generating
Calculations, Mental State Transition Network, Self Organizing
Map

査読の有無
掲載雑誌名
2011 IEEE International Conference on Systems, Man and Cybernetics
開始ページ
3155
終了ページ
3160
出版年月日
2011
出版者
IEEE
本文言語
英語
資料タイプ
会議発表論文
著者版フラグ
著者版
権利情報
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
旧URI
区分
hiroshima-cu