DocumentCode
652760
Title
On Recovering Structure of Affect
Author
Kapoor, Ajay ; Czerwinski, Michal ; Maclean, Diana Lynn ; Zolotovitski, Alex
Author_Institution
Microsoft Res. Redmond, Redmond, WA, USA
fYear
2013
fDate
2-5 Sept. 2013
Firstpage
442
Lastpage
447
Abstract
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.
Keywords
behavioural sciences computing; cultural aspects; psychology; statistical analysis; Mechanical Turk workers; affect structure; cultural influences; emotional theory; human computation experiments; large scale research; statistical structure; Affective computing; Analytical models; Computational modeling; Data models; Kernel; Measurement; Psychology; Affect; Clustering; Dimensionality Reduction; Mechanical Turk; Models of Affect;
fLanguage
English
Publisher
ieee
Conference_Titel
Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on
Conference_Location
Geneva
ISSN
2156-8103
Type
conf
DOI
10.1109/ACII.2013.79
Filename
6681470
Link To Document