Skip to main content

Generation of Non-compliant Behaviour in Virtual Medical Narratives

  • Conference paper
  • First Online:
Intelligent Virtual Agents (IVA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9238))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    The term Patient Guidelines is drawn from working documents of the Guidelines International Network (GIN), http://www.g-i-n.net/document-store/working-groups-documents/g-i-n-public/toolkit/toolkit-chapter-4.pdf.

  2. 2.

    Merriam-Webster http://www.dictionaryapi.com; Big Huge Thesaurus http://words.bighugelabs.com; Power Thesaurus http://www.powerthesaurus.org.

  3. 3.

    Wikipedia provides a broad coverage sample of language which is appropriate here because activities of daily living do not involve specialised terminology.

References

  1. Bickmore, T., Ring, L.: Making it personal: end-user authoring of health narratives delivered by virtual agents. In: Allbeck, J., Badler, N., Bickmore, T., Pelachaud, C., Safonova, A. (eds.) IVA 2010. LNCS, vol. 6356, pp. 399–405. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  2. Bickmore, T., Schulman, D., Yin, L.: Engagement vs. deceit: virtual humans with human autobiographies. In: Ruttkay, Z., Kipp, M., Nijholt, A., Vilhjálmsson, H.H. (eds.) IVA 2009. LNCS, vol. 5773, pp. 6–19. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  3. Bouma, G.: Normalized (pointwise) mutual information in collocation extraction. In: Proceedings of the Biennial GSCL Conference, pp. 31–40 (2009)

    Google Scholar 

  4. Bradbrook, K., Winstanley, G., Glasspool, D.W., Fox, J., Griffiths, R.N.: AI planning technology as a component of computerised clinical practice guidelines. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds.) AIME 2005. LNCS (LNAI), vol. 3581, pp. 171–180. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  5. Charles, F., Cavazza, M., Smith, C., Georg, G., Porteous, J.: Instantiating interactive narratives from patient education documents. In: Peek, N., Marín Morales, R., Peleg, M. (eds.) AIME 2013. LNCS, vol. 7885, pp. 273–283. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  6. Cordar, A., Borish, M., Foster, A., Lok, B.: Building virtual humans with back stories: training interpersonal communication skills in medical students. In: Bickmore, T., Marsella, S., Sidner, C. (eds.) IVA 2014. LNCS, vol. 8637, pp. 144–153. Springer, Heidelberg (2014)

    Google Scholar 

  7. Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)

    MATH  Google Scholar 

  8. Georg, G., Cavazza, M.: Integrating document-based and knowledge-based models for clinical guidelines analysis. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds.) AIME 2007. LNCS (LNAI), vol. 4594, pp. 421–430. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  9. Gerevini, A., Long, D.: Plan constraints and preferences in pddl3. The Language of the Fifth International Planning Competition. Technical report, Department of Electronics for Automation, University of Brescia, Italy, 75 (2005)

    Google Scholar 

  10. González-Ferrer, A., Ten Teije, A., Fdez-Olivares, J., Milian, K.: Automated generation of patient-tailored electronic care pathways by translating computer-interpretable guidelines into hierarchical task networks. Artif. Intell. Med. 57(2), 91–109 (2013)

    Article  Google Scholar 

  11. Klatt, J., Marsella, S., Krämer, N.C.: Negotiations in the context of AIDS prevention: an agent-based model using theory of mind. In: Vilhjálmsson, H.H., Kopp, S., Marsella, S., Thórisson, K.R. (eds.) IVA 2011. LNCS, vol. 6895, pp. 209–215. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  12. Magerko, B., Wray, R.E., Holt, L.S., Stensrud, B.: Customizing interactive training through individualized content and increased engagement. In: The Interservice/Industry Training, Simulation & Education Conference (I/ITSEC), number 1 (2005)

    Google Scholar 

  13. Miksch, S., Shahar, Y., Johnson, P.: Asbru: a task-specific, intention-based, and time-oriented language for representing skeletal plans. In: Proceedings of the 7th Workshop on Knowledge Engineering: Methods & Languages (KEML-97), Milton Keynes, UK, The Open University, pp. 9–19 (1997)

    Google Scholar 

  14. Miller, L., Appleby, P., Christensen, J., Godoy, C., Si, M., Corsbie-Massay, C., Noar, S., Harrington, N.: Virtual interactive interventions for reducing risky sex: adaptations, integrations, and innovations. In: eHealth Applications: Promising Strategies for Health Behavior Change, pp. 79–95. Routledge, New York (2012)

    Google Scholar 

  15. Pauls, A., Klein, D.: Faster and smaller n-gram language models. In: Proceedings of the 49th Meeting of the Association for Computational Linguistics, HLT 2011, pp. 258–267, Stroudsburg, PA, USA (2011)

    Google Scholar 

  16. Porteous, J., Cavazza, M., Charles, F.: Applying planning to interactive storytelling: narrative control using state constraints. ACM Trans. Intell. Syst. Technol. (TIST) 1(2), 10 (2010)

    Google Scholar 

  17. Porteous, J., Lindsay, A., Read, J., Truran, M., Cavazza, M.: Automated extension of narrative planning domains with antonymic operators. In: Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems, pp. 1547–1555. IFAAMAS (2015)

    Google Scholar 

  18. Safeer, R.S., Keenan, J.: Health literacy: the gap between physicians and patients. Am. Fam. Physician 72(3), 463–468 (2005)

    Google Scholar 

  19. Shahar, Y., Musen, M.A.: Plan recognition and revision in support of guideline-based care. In: Working notes of the AAAI Spring Symposium on Representing Mental States and Mechanisms, pp. 118–126 (1995)

    Google Scholar 

  20. Toutanova, K., Klein, D., Manning, C.D., Singer, Y.: Feature-rich part-of-speech tagging with a cyclic dependency network. In: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, NAACL 2003, Stroudsburg, PA, USA, vol. 1, pp. 173–180 (2003)

    Google Scholar 

Download references

Acknowledgments

This work has been funded in part through the Open FET MUSE project (FP7-296703). The contents of this paper only reflect the authors opinions and not necessarily the official position of Haute Autorité de Santé.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marc Cavazza .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Lindsay, A., Charles, F., Read, J., Porteous, J., Cavazza, M., Georg, G. (2015). Generation of Non-compliant Behaviour in Virtual Medical Narratives. In: Brinkman, WP., Broekens, J., Heylen, D. (eds) Intelligent Virtual Agents. IVA 2015. Lecture Notes in Computer Science(), vol 9238. Springer, Cham. https://doi.org/10.1007/978-3-319-21996-7_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-21996-7_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21995-0

  • Online ISBN: 978-3-319-21996-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics