1 research outputs found
Visualization of Patient Behavior from Natural Language Recommendations
The visualization of procedural knowledge from textual documents
using 3D animation may be a way to improve understanding. We
are interested in applying this approach to documents relating to
patient education for bariatric surgery: a domain with challenging
textual documents describing behavior recommendations that contain
few procedural steps and leave much commonsense knowledge
unspecified. In this work we look at how to automatically capture
knowledge from a range of differently phrased recommendations
and use that with implicit knowledge about compliance and violation,
such that the recommendations can be visualized using 3D
animations. Our solution is an end-to-end system that automates
this process via: analysis of input recommendations to uncover their
conditional structure; the use of commonsense knowledge and deontic
logic to generate compliance and violation rules; and mapping of
this knowledge to update a default knowledge base, which is used to
generate appropriate sequences of visualizations. In this paper we
overview this approach and demonstrate its potential