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Generation of non-compliant behaviour in virtual medical narratives

Generation of non-compliant behaviour in virtual medical narratives

Lindsay, Alan, Charles, Fred, Read, Jonathon, Porteous, Julie, Cavazza, Marc ORCID: 0000-0001-6113-9696 and Georg, Gersende (2015) Generation of non-compliant behaviour in virtual medical narratives. In: Intelligent Virtual Agents. Lecture Notes in Computer Science, 9238 . Springer, Cham, pp. 216-228. ISBN 978-3-319-21995-0 ISSN 0302-9743 (doi:https://doi.org/10.1007/978-3-319-21996-7_22)

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Abstract

Patient education documents increasingly take the form of Patient Guidelines, which share many of the properties of clinical guidelines in terms of knowledge content and the description of clinical protocols. They however differ in one specific aspect, which is that some recommendations for patient behaviour may be violated, and that no explicit representation of undesired behaviour is embedded in the guidelines themselves. In this paper, we take as a starting point the plan-based representation of clinical guidelines, which has been promoted by several authors, and introduce a method to automatically derive the set of “opposite actions” that constitute violations of recommended patient behaviours. These additional alternative actions are generated automatically as PDDL operators complementing the description of the guideline. As an application, using a patient guideline on bariatric surgery, we also present examples of how these actions can be used to visualise undesirable patient behaviour in a 3D serious game, featuring virtual agents representing the patient and healthcare professionals.

Item Type: Conference Proceedings
Title of Proceedings: Intelligent Virtual Agents
Additional Information: The 15th International Conference on Intelligent Virtual Agents (IVA 2015) was held at Delft, The Netherlands, from 26-28 August, 2015.
Uncontrolled Keywords: Bariatric Surgery; Virtual Environment; Planning Domain; Planning Formalism; Undesirable Behaviour
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Last Modified: 20 Jun 2019 15:37
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/19967

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