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

Sebastian Müller (Vortragende:r), Beat Tödtli, Janine Vetsch, Melanie Rickenmann, Simon Haug, Matthias Baldauf, Peter Fröhlich

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

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.
OriginalspracheEnglisch
TitelProceedings of the Workshop on Engaging with Automation co-located with the ACM Conference on Human Factors in Computing Systems (CHI 2022)
Seiten1-5
Seitenumfang5
PublikationsstatusVeröffentlicht - 2022
VeranstaltungCHI 2022: ACM CHI Conference on Human Factors in Computing Systems -
Dauer: 30 Apr. 20226 Mai 2022

Konferenz

KonferenzCHI 2022: ACM CHI Conference on Human Factors in Computing Systems
Zeitraum30/04/226/05/22

Research Field

  • Ehemaliges Research Field - Capturing Experience

Schlagwörter

  • 2. Quartal 2022

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