Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing 2015
DOI: 10.1145/2675133.2675283
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Structuring, Aggregating, and Evaluating Crowdsourced Design Critique

Abstract: Feedback is an important component of the design process, but gaining access to high-quality critique outside a classroom or firm is challenging. We present CrowdCrit, a webbased system that allows designers to receive design critiques from non-expert crowd workers. We evaluated CrowdCrit in three studies focusing on the designer's experience and benefits of the critiques. In the first study, we compared crowd and expert critiques and found evidence that aggregated crowd critique approaches expert critique. In… Show more

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Cited by 130 publications
(84 citation statements)
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“…Recent work has shown how to better align novice critiques with that of experts; in particular, the use of rubrics has been shown in massive open online courses to bring student ratings within one grade of instructors [18] and novice guideline-based feedback in aggregate can be as acceptable to the receivers as expert feedback [30,21]. However, positively written and emotional critiques received higher average ratings than negative or neutral critiques [33].…”
Section: Related Workmentioning
confidence: 99%
“…Recent work has shown how to better align novice critiques with that of experts; in particular, the use of rubrics has been shown in massive open online courses to bring student ratings within one grade of instructors [18] and novice guideline-based feedback in aggregate can be as acceptable to the receivers as expert feedback [30,21]. However, positively written and emotional critiques received higher average ratings than negative or neutral critiques [33].…”
Section: Related Workmentioning
confidence: 99%
“…The crowd itself can also provide feedback. Prior work has explored how individuals can get feedback from crowd workers during the design process [22].…”
Section: Discussionmentioning
confidence: 99%
“…Crowdsourcing inherently provides access to individuals with diverse skills, which provides guidance to users during the design process [22] and improves specific skills like drawing. Limpaechter et al collected sketch data from a crowd of players of their DrawAFriend game and used the resulting model to correct user-drawn lines in real-time [19].…”
Section: Crowdsourcing For Drawing and Rapid Evaluationmentioning
confidence: 99%
“…Crowd rely heavily on the idea tree for inspiration, and best ideas appear around ends of the idea tree. Luther et al [65] Help designers to receive design critiques from non-expert crowd workers.…”
Section: Harnessing the Crowdmentioning
confidence: 99%