• 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