Affective computational priming and creativity

  • Authors:
  • Sheena Lewis;Mira Dontcheva;Elizabeth Gerber

  • Affiliations:
  • Technology and Social Behavior Northwestern University, Evanston, Illinois, USA;Advanced Technologies Lab Adobe Systems, San Francisco, California, USA;Segal Design Institute Northwestern University, Evanston, Illinois, USA

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2011

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Abstract

While studies have shown that affect influences creativity, few investigate how affect influences creative performance with creativity support tools. Drawing from methods commonly used in psychology research, we present affective computational priming, a new method for manipulating affect using digitally embedded stimuli. We present two studies that explore computational techniques for inducing positive, neutral, and negative affect and examine their impact on idea generation with creativity support tools. Our results suggest that positive affective computational priming positively influences the quality of ideas generated. We discuss opportunities for future HCI research and offer practical applications of affective computational priming.