Designing Experts’ Interactions with a Semi-Automated Document Tagging System

For evidence-based care, nurses are dependent on latest scientific findings. However, screening and annotating respective publications is a time-consuming process for domain experts. In our ongoing work, we investigate how such experts can be supported by a (semi-)automated, machine-learning based recommendation system and how to design and integrate such a tool into their overall workflow. This paper outlines a current tag recommendation prototype and presents first results from an initial co-design workshop where we investigated the requirements of two nursing care researchers for such a system. The mockups created during the workshops lay the foundation for our goal of integrating a recommender system seamlessly into the researchers annotation process.