• DocumentCode
    652699
  • Title

    Affect and Creative Performance on Crowdsourcing Platforms

  • Author

    Morris, Robert R. ; Dontcheva, Mira ; Finkelstein, Adam ; Gerber, Elizabeth

  • Author_Institution
    MIT Media Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2013
  • fDate
    2-5 Sept. 2013
  • Firstpage
    67
  • Lastpage
    72
  • Abstract
    Performance on crowd sourcing platforms varies greatly, especially for tasks requiring significant cognitive effort or creative insight. Researchers have proposed several techniques to address these problems, yet few have considered the role of affect, despite the well-established link between positive affect and creative performance. In this paper, we examine two affective techniques to boost creativity on crowd sourcing platforms - affective priming and affective pre-screening. Across three experiments, we find divergent results, depending on which technique is used. We find that not all happy crowd workers are alike. Those that are primed to feel happy exhibit enhanced creative performance, whereas those that merely report feeling happy exhibit impaired creative performance. We examine these findings in light of preexisting research on creativity, affect, and mood saliency. Lastly, we show how our findings have implications not only for crowd sourcing platforms, but also for other human-computer interaction scenarios that involve affect and creative performance.
  • Keywords
    groupware; outsourcing; affect performance; creative performance; crowdsourcing platforms; mood saliency; Affective computing; Atmospheric measurements; Educational institutions; Mood; Music; Particle measurements; Problem-solving; affective computing; affective priming; affective self-report; creativity; crowdsourcing;
  • 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.2013.18
  • Filename
    6681409