Nemesys - Neural emotion eliciting system

Manfred Eckschlager; Regina Bernhaupt; Manfred Tscheligi

doi:10.1145/1056808.1056913

Nemesys - Neural emotion eliciting system

Manfred Eckschlager, Regina Bernhaupt, Manfred Tscheligi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

8 Citations (Scopus)

Abstract

This paper describes the development of a new model of agent emotion elicitation called Nemesys. It enhances interfaces with emotional and social information. Nemesys is based on an artificial neural network and is able to learn six basic emotional states. The elicitation of emotions is based on models drawn from the state of the art in modeling emotions in the field of psychology. Further the described framework includes the Five-Factor Model of Personality to represent different agent personalities. Nemesys (called after Nemesis, the Greek goddess of righteous anger) is designed to perform in various types of interfaces. The usage of Nemesys is presented with an application scenario employing a commercial 3D game-engine. Additionally a critical review of the current elicitation behavior of Nemesys is presented and discussed.

Original language	English
Title of host publication	CHI'05 Extended Abstracts on Human Factors in Computing Systems, CHI EA'05
Pages	1347-1350
Number of pages	4
DOIs	https://doi.org/10.1145/1056808.1056913
Publication status	Published - 1 Dec 2005
Externally published	Yes
Event	23rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2005 - Portland, United States Duration: 2 Apr 2005 → 7 Apr 2005 Conference number: 23 http://www.chi2005.org/

Conference

Conference	23rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2005
Abbreviated title	CHI 2005
Country/Territory	United States
City	Portland
Period	2/04/05 → 7/04/05
Internet address	http://www.chi2005.org/

Keywords

Agent
Believability
Emotion
Games
Intelligent Interaction
User Experience

Access to Document

10.1145/1056808.1056913

Cite this

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title = "Nemesys - Neural emotion eliciting system",

abstract = "This paper describes the development of a new model of agent emotion elicitation called Nemesys. It enhances interfaces with emotional and social information. Nemesys is based on an artificial neural network and is able to learn six basic emotional states. The elicitation of emotions is based on models drawn from the state of the art in modeling emotions in the field of psychology. Further the described framework includes the Five-Factor Model of Personality to represent different agent personalities. Nemesys (called after Nemesis, the Greek goddess of righteous anger) is designed to perform in various types of interfaces. The usage of Nemesys is presented with an application scenario employing a commercial 3D game-engine. Additionally a critical review of the current elicitation behavior of Nemesys is presented and discussed.",

keywords = "Agent, Believability, Emotion, Games, Intelligent Interaction, User Experience",

author = "Manfred Eckschlager and Regina Bernhaupt and Manfred Tscheligi",

year = "2005",

month = dec,

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doi = "10.1145/1056808.1056913",

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pages = "1347--1350",

booktitle = "CHI'05 Extended Abstracts on Human Factors in Computing Systems, CHI EA'05",

note = "23rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2005, CHI 2005 ; Conference date: 02-04-2005 Through 07-04-2005",

url = "http://www.chi2005.org/",

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AU - Bernhaupt, Regina

AU - Tscheligi, Manfred

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N2 - This paper describes the development of a new model of agent emotion elicitation called Nemesys. It enhances interfaces with emotional and social information. Nemesys is based on an artificial neural network and is able to learn six basic emotional states. The elicitation of emotions is based on models drawn from the state of the art in modeling emotions in the field of psychology. Further the described framework includes the Five-Factor Model of Personality to represent different agent personalities. Nemesys (called after Nemesis, the Greek goddess of righteous anger) is designed to perform in various types of interfaces. The usage of Nemesys is presented with an application scenario employing a commercial 3D game-engine. Additionally a critical review of the current elicitation behavior of Nemesys is presented and discussed.

AB - This paper describes the development of a new model of agent emotion elicitation called Nemesys. It enhances interfaces with emotional and social information. Nemesys is based on an artificial neural network and is able to learn six basic emotional states. The elicitation of emotions is based on models drawn from the state of the art in modeling emotions in the field of psychology. Further the described framework includes the Five-Factor Model of Personality to represent different agent personalities. Nemesys (called after Nemesis, the Greek goddess of righteous anger) is designed to perform in various types of interfaces. The usage of Nemesys is presented with an application scenario employing a commercial 3D game-engine. Additionally a critical review of the current elicitation behavior of Nemesys is presented and discussed.

KW - Agent

KW - Believability

KW - Emotion

KW - Games

KW - Intelligent Interaction

KW - User Experience

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U2 - 10.1145/1056808.1056913

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M3 - Conference contribution

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SN - 9781595930026

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EP - 1350

BT - CHI'05 Extended Abstracts on Human Factors in Computing Systems, CHI EA'05

T2 - 23rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2005

Y2 - 2 April 2005 through 7 April 2005

ER -

Nemesys - Neural emotion eliciting system

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Keywords

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