CrowdCrit: crowdsourcing and aggregating visual design critique

Authors:
Kurt Luther;Amy Pavel;Wei Wu;Jari-lee Tolentino;Maneesh Agrawala;Björn Hartmann;Steven P. Dow
Affiliations:
Carnegie Mellon University, Pittsburgh, PA, USA;University of California, Berkeley, Berkeley, CA, USA;University of California, Berkeley, Berkeley, CA, USA;University of California, Irvine, Irvine, CA, USA;University of California, Berkeley, Berkeley, CA, USA;University of California, Berkeley, Berkeley, CA, USA;Carnegie Mellon University, Pittsburgh, PA, USA
Venue:
Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing
Year:
2014

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Abstract

People who create visual designs often struggle to find high-quality critique outside a firm or classroom, and current online feedback solutions are limited. We created a system called CrowdCrit which leverages paid crowdsourcing to generate and visualize high-quality visual design critique. Our work extends prior crowd feedback research by focusing on scaffolding the process and language of studio critique for crowds.