語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Modeling physical personalities for ...
~
Brahnam, Sheryl Diane.
FindBook
Google Book
Amazon
博客來
Modeling physical personalities for virtual agents by modeling trait impressions of the face: A neural network analysis.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Modeling physical personalities for virtual agents by modeling trait impressions of the face: A neural network analysis./
作者:
Brahnam, Sheryl Diane.
面頁冊數:
231 p.
附註:
Source: Dissertation Abstracts International, Volume: 63-09, Section: B, page: 4242.
Contained By:
Dissertation Abstracts International63-09B.
標題:
Computer Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3063806
ISBN:
0493827390
Modeling physical personalities for virtual agents by modeling trait impressions of the face: A neural network analysis.
Brahnam, Sheryl Diane.
Modeling physical personalities for virtual agents by modeling trait impressions of the face: A neural network analysis.
- 231 p.
Source: Dissertation Abstracts International, Volume: 63-09, Section: B, page: 4242.
Thesis (Ph.D.)--City University of New York, 2002.
The 1990s gave rise to a host of virtual agents: synthetic characters, interface agents, and virtual humans. Although users welcome the prospect of interacting with virtual agents, more often than not these agents disappoint by being too mechanical and inconsistent in their behaviors. In short, they lack personality. Researchers, recognizing the importance of personality in creating socially engaging virtual agents, have sought ways of endowing agents with a convincing artificial personality. There are many aspects to personality. One pressing concern in this area of research is defining those aspects that are of central importance for virtual agents. In this study, the dramaturgical model of personality developed by the social constructivists is used to delineate the domain of artificial personality. According to the social constructivists, personality is the product of three perspectives: that of the actor (the expression of psychological personality), that of the observer (the perception and interpretation of personality), and that of the self-observer (the management of self-presentations). Most research in artificial personality has focused on the actor. This study explores the observational perspectives by considering the physical personality of the actor, defined as comprising those aspects of appearance that give rise to an initial impression of personality. It is argued in this study that modeling the impressions of physical personality would provide virtual agents not only with a means of perceiving physical personality but also with a means of creating their own socially intelligent embodiment. To illustrate the feasibility of modeling physical personality, a study focused on modeling the trait impressions of the face using an autoassociative neural network or, equivalently, Principal C omponent Analysis (PCA) is presented. The performances of three-class and two-class PCAs, trained to match human classification of faces in terms of perceived dominance, masculinity, sociality, adjustment, warmth, trustworthiness, facial maturity, and gender, are analyzed. It is found that the PCAs perform better than chance, with two-class PCAs outperforming three-class PCAs. The study concludes by reporting on an investigation designed to gauge the potential of synthesizing faces with a high probability of producing specific trait impressions from within the PCA trait space.
ISBN: 0493827390Subjects--Topical Terms:
626642
Computer Science.
Modeling physical personalities for virtual agents by modeling trait impressions of the face: A neural network analysis.
LDR
:03371nmm 2200289 4500
001
1866000
005
20041220114113.5
008
130614s2002 eng d
020
$a
0493827390
035
$a
(UnM)AAI3063806
035
$a
AAI3063806
040
$a
UnM
$c
UnM
100
1
$a
Brahnam, Sheryl Diane.
$3
1953416
245
1 0
$a
Modeling physical personalities for virtual agents by modeling trait impressions of the face: A neural network analysis.
300
$a
231 p.
500
$a
Source: Dissertation Abstracts International, Volume: 63-09, Section: B, page: 4242.
500
$a
Adviser: Linda W. Friedman.
502
$a
Thesis (Ph.D.)--City University of New York, 2002.
520
$a
The 1990s gave rise to a host of virtual agents: synthetic characters, interface agents, and virtual humans. Although users welcome the prospect of interacting with virtual agents, more often than not these agents disappoint by being too mechanical and inconsistent in their behaviors. In short, they lack personality. Researchers, recognizing the importance of personality in creating socially engaging virtual agents, have sought ways of endowing agents with a convincing artificial personality. There are many aspects to personality. One pressing concern in this area of research is defining those aspects that are of central importance for virtual agents. In this study, the dramaturgical model of personality developed by the social constructivists is used to delineate the domain of artificial personality. According to the social constructivists, personality is the product of three perspectives: that of the actor (the expression of psychological personality), that of the observer (the perception and interpretation of personality), and that of the self-observer (the management of self-presentations). Most research in artificial personality has focused on the actor. This study explores the observational perspectives by considering the physical personality of the actor, defined as comprising those aspects of appearance that give rise to an initial impression of personality. It is argued in this study that modeling the impressions of physical personality would provide virtual agents not only with a means of perceiving physical personality but also with a means of creating their own socially intelligent embodiment. To illustrate the feasibility of modeling physical personality, a study focused on modeling the trait impressions of the face using an autoassociative neural network or, equivalently, Principal C omponent Analysis (PCA) is presented. The performances of three-class and two-class PCAs, trained to match human classification of faces in terms of perceived dominance, masculinity, sociality, adjustment, warmth, trustworthiness, facial maturity, and gender, are analyzed. It is found that the PCAs perform better than chance, with two-class PCAs outperforming three-class PCAs. The study concludes by reporting on an investigation designed to gauge the potential of synthesizing faces with a high probability of producing specific trait impressions from within the PCA trait space.
590
$a
School code: 0046.
650
4
$a
Computer Science.
$3
626642
650
4
$a
Psychology, Personality.
$3
1017585
650
4
$a
Psychology, Social.
$3
529430
690
$a
0984
690
$a
0625
690
$a
0451
710
2 0
$a
City University of New York.
$3
1018111
773
0
$t
Dissertation Abstracts International
$g
63-09B.
790
1 0
$a
Friedman, Linda W.,
$e
advisor
790
$a
0046
791
$a
Ph.D.
792
$a
2002
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3063806
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9184876
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入