<div class="csl-bib-body">
<div class="csl-entry">Hirschmanner, M., Grabler, R., Frijns, H. A., Mayer-Haas, E., & Vincze, M. (2024, March 11). <i>Prototype of a Care Documentation Support System Using Audio Recordings of Care Actions and Large Language Models</i> [Conference Presentation]. Workshop on Human Large Language Model Interaction (HRI 2024), Boulder, CO, United States of America (the). http://hdl.handle.net/20.500.12708/199437</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/199437
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dc.description.abstract
Care documentation is an essential but time-consuming part of nursing practices. We present a first prototype to support care workers by generating summaries from audio recorded during standard nursing interactions. The audio is transcribed with Automatic Speech Recognition (ASR), and a summary is generated by a Large Language Model (LLM), both running locally. For evaluation, we recorded four mock care interaction scenarios with a training manikin. We compare different local LLMs with GPT-3.5 and GPT-4. We find that most of the important topics relevant to care documentation were present in the resulting summaries.
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dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Robotics
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dc.title
Prototype of a Care Documentation Support System Using Audio Recordings of Care Actions and Large Language Models
