On Recovering Structure of Affect

被引：0

作者：

Kapoor, Ashish ^{[1
]}

Czerwinski, Mary ^{[1
]}

MacLean, Diana Lynn ^{[2
]}

Zolotovitski, Alex ^{[3
]}

机构：

[1] Microsoft Res Redmond, Redmond, WA 98052 USA

[2] Stanford Univ, Stanford, CA USA

[3] Med Syst Inc, Seattle, WA USA

来源：

2013 HUMAINE ASSOCIATION CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII) | 2013年

关键词：

Affect; Models of Affect; Dimensionality Reduction; Clustering; Mechanical Turk; CIRCUMPLEX MODEL;

D O I：

10.1109/ACII.2013.79

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents novel human computation experiments geared towards uncovering the structure of affect. Using Mechanical Turk workers across 2 separate studies, we empirically verified some of the popular beliefs about the structure of affect, but also provide some new evidence. We replicate and reveal not only the statistical structure of the dimensions of affect, but also the effect of cultural influences. We close with a proposition for a framework for doing this kind of large scale research and provide recommendations and opportunities for innovations in research around emotional theory.

引用

页码：442 / 447

页数：6

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