Sustaining Cumulative Ideation at Range


Title: Sustaining Cumulative Ideation at Range
Audio Speaker: Pao Siangliulue, Division of Computer Technology, Harvard College
Day: April 18, 2017
Time: 12:30 – 1:30 pm


An expanding variety of on the internet cumulative ideation systems, such as OpenIDEO or Wacky, have actually shown the possibility of large joint technology in numerous domain names. These systems likewise present brand-new difficulties. Individuals need to learn a sea of repetitive and also potentially ordinary concepts prior to coming across truly motivating ones. Additionally, as soon as all concepts are accumulated, the neighborhoods need to invest a great deal of effort and time to manufacture the concepts right into a couple of options. A smart system can pick and also existing concepts for its customers rather of leaving them to look for motivations in a slipshod method.

In this talk, I will certainly demonstrate how a system can make a decision which concepts to provide to the customers and also when to do so. I will certainly present a computational version of a concept room, 2 crowdsourcing approaches to produce the version and also this version’s application for creativity-enhancing treatments. I will certainly likewise provide an empirical research study on the results of timing of instance distribution on individuals’s concept generation.


Pao is a Ph.D. prospect in Computer technology concentrating on Human-Computer Communication (HCI) research study at Harvard College. She collaborates with Prof. Krzysztof Gajos in the Intelligent Interactive Solution Team. Her research study discovers exactly how we can use smart innovations and also crowdsourcing to make it possible for unique methods for individuals to find up with innovative concepts with each other. Pao obtained her B.S. in Electric Design and also M.S. in Computer Technology from Stanford College where she operated in Stanford HCI team.


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