Title :
On Recovering Structure of Affect
Author :
Kapoor, Ajay ; Czerwinski, Michal ; Maclean, Diana Lynn ; Zolotovitski, Alex
Author_Institution :
Microsoft Res. Redmond, Redmond, WA, USA
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;
Conference_Titel :
Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on
Conference_Location :
Geneva
DOI :
10.1109/ACII.2013.79