CS547 Human-Computer Interaction Seminar   (Seminar on People, Computers, and Design)

Fridays 11:30am-12:30pm PT · Gates B3 · Open to the public
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Joy Kim
Stanford University
Designing Crowdsourcing Techniques Based on Expert Creative Practice
May 27, 2016

Current crowdsourcing workflows comprise of discrete tasks that guide the crowd towards predetermined goals. However, this approach is ill-suited towards supporting massively collaborative open-ended creative work, which often involves an exploration of possible end results and revision of creative goals. However, adapting expert creative practice into social computing and crowdsourcing environments can enable the web to collaborate at scale on complex creative goals, such as writing short fiction stories. In this talk, I'll describe four projects through which I'm exploring this approach -- the first two projects look at how to design creative collaboration tools around a core expert practice, while the other two projects look at how we can make expert examples of creative work accessible sources of strategies to scaffold novices' individual creative work.


Joy Kim is a PhD candidate in Stanford University's Computer Science department, where she is advised by Michael Bernstein. Her research work focuses on designing tools for online collaborative creativity, especially for non-expert or novice creators. Joy received her B.S. in Computer Science from the University of Washington in 2011.