<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Merritt, David</style></author><author><style face="normal" font="default" size="100%">Jones, Jasmine</style></author><author><style face="normal" font="default" size="100%">Ackerman, Mark S.</style></author><author><style face="normal" font="default" size="100%">Lasecki, Walter S.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Kurator: Using The Crowd to Help Families With Personal Curation Tasks</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">crowdsourcing</style></keyword><keyword><style  face="normal" font="default" size="100%">curation</style></keyword><keyword><style  face="normal" font="default" size="100%">digital audio</style></keyword><keyword><style  face="normal" font="default" size="100%">digital curation</style></keyword><keyword><style  face="normal" font="default" size="100%">hybrid intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">mixed-expertise</style></keyword><keyword><style  face="normal" font="default" size="100%">personal curation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">1835–1849</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract></record></records></xml>