TY - CONF T1 - Kurator: Using The Crowd to Help Families With Personal Curation Tasks T2 - Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing Y1 - 2017 A1 - Merritt, David A1 - Jones, Jasmine A1 - Ackerman, Mark S. A1 - Lasecki, Walter S. KW - crowdsourcing KW - curation KW - digital audio KW - digital curation KW - hybrid intelligence KW - mixed-expertise KW - personal curation AB -

People capture photos, audio recordings, video, and more on a daily basis, but organizing all these digital artifacts quickly becomes a daunting task. Automated solutions struggle to help us manage this data because they cannot understand its meaning. In this paper, we introduce Kurator, a hybrid intelligence system leveraging mixed-expertise crowds to help families curate their personal digital content. Kurator produces a refined set of content via a combination of automated systems able to scale to large data sets and human crowds able to understand the data. Our results with 5 families show that Kurator can reduce the amount of effort needed to find meaningful memories within a large collection. This work also suggests that crowdsourcing can be used effectively even in domains where personal preference is key to accurately solving the task.

JF - Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing UR - Complete ER -