Generation of non-compliant behaviour in virtual medical narratives

Alan Lindsay, Fred Charles, Jonathon Read, Julie Porteous, Marc Cavazza, Gersende Georg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


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 planbased 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.

Original languageEnglish
Title of host publicationIntelligent Virtual Agents - 15th International Conference, IVA 2015, Proceedings
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783319219950
Publication statusPublished - 2015
Externally publishedYes
Event15th International Conference on Intelligent Virtual Agents - Delft, Netherlands
Duration: 26 Aug 201528 Aug 2015
Conference number: 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th International Conference on Intelligent Virtual Agents
Abbreviated titleIVA 2015


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