Comparing Two Emotion Models for Deriving Affective States from Physiological Data

被引：0

作者：

Lichtenstein, Antje ^{[1
]}

Oehme, Astrid ^{[2
]}

Kupschick, Stefan ^{[2
]}

Juergensohn, Thomas ^{[2
]}

机构：

[1] Tech Univ Berlin, Inst Psychol & Arbeitswissensch, Fachgebiet Mensch Maschine Syst, Franklinstr 28-29, D-10587 Berlin, Germany

[2] HFC Human Factors Consult Gmbh, D-12555 Berlin, Germany

来源：

AFFECT AND EMOTION IN HUMAN-COMPUTER INTERACTION: FROM THEORY TO APPLICATIONS | 2008年 / 4868卷

关键词：

Emotion classification; dimensional model of affect; basic emotions; ambient intelligence; psychophysiology;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes an experiment on emotion measurement and classification based on different physiological parameters, which was conducted in the context of a European project on ambient intelligent mobile devices. Emotion induction material consisted of five four-minute video films that induced two positive and three negative emotions. The experimental design gave consideration to both, the basic and the dimensional model of the structure of emotion. Statistical analyses were conducted for films and for self-assessed emotional state and in addition, supervised machine learning technique was utilized. Recognition rates reached up to 72% for a specific emotion (one out of five) and up to 82% for an underlying dimension (one out of two).

引用

页码：35 / +

页数：3

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