Kurator: Using The Crowd to Help Families With Personal Curation Tasks
|Title||Kurator: Using The Crowd to Help Families With Personal Curation Tasks|
|Publication Type||Conference Paper|
|Year of Publication||2017|
|Authors||Merritt, D, Jones, J, Ackerman, MS, Lasecki, WS|
|Conference Name||Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing|
|Keywords||crowdsourcing, curation, digital audio, digital curation, hybrid intelligence, mixed-expertise, personal curation|
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.