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

URI http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/9430
File
Title
Classification of EGC output and Mental State Transition Networkusing Self Organizing Map
Author
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
Abstract

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

Description Peer Reviewed
Journal Title
2011 IEEE International Conference on Systems, Man and Cybernetics
Spage
3155
Epage
3160
Published Date
2011
Publisher
IEEE
Language
eng
NIIType
Conference Paper
Text Version
著者版
Rights
© 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.
Old URI
Set
hiroshima-cu