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Advancing Large-Scale Creativity through Adaptive Inspirations and Research in Context

Abstract An old proverb claims that “two heads are better than one”. Crowdsourcing research and practice have taken this to heart, attempting to show that thousands of heads can be even better. This is not limited to leveraging a crowd’s knowledge, but also their creativity—the ability to generate something not only useful, but also novel. In practice, there are initiatives such as Free and Open Source Software communities developing innovative software. In research, the field of crowdsourced creativity, which attempts to design scalable support mechanisms, is blooming. However, both contexts still present many opportunities for advancement.

In this dissertation, I seek to advance both the knowledge of limitations in current technologies used in p... (more)
Created Date 2019
Contributor da Silva Girotto, Victor Augusto (Author) / Walker, Erin A (Advisor) / Burleson, Winslow (Advisor) / Maciejewski, Ross (Committee member) / Hsiao, Sharon (Committee member) / Bigham, Jeffrey (Committee member) / Arizona State University (Publisher)
Subject Computer science / Adaptive Systems / Creativity / Human-computer Interaction
Type Doctoral Dissertation
Extent 190 pages
Language English
Note Doctoral Dissertation Computer Science 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis