Abstract
This paper describes an approach to building a virtual stroke patient which allows learners to visually explore connections between different stroke aetiologies and social behaviour. It presents an architecture that links a parametric model of aetiology to verbal and non verbal behaviour which can be manipulated in realtime. We believe that this design has the potential to consolidate understanding by allowing learners to systematically explore variations in clinical presentation. To the best of our knowledge, this is the first Intelligent Virtual Agent (IVA) that uses a parameterised behaviour model to provide an interactive examination and diagnosis of a stroke patient.
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Deladisma, A., Cohen, M., Stevens, A., Wagner, P., Lok, B., Bernard, T., Oxendine, C., Schumacher, L., Johnsen, K., Dickerson, R., Raij, A., Wells, R., Duerson, M., Harper, J., Lind, D.: Do medical students respond empathetically to a virtual patient ? Am J Surg 193(6), 756–760 (2007)
Johnson, T., Lyons, R., Chuah, J., Kopper, R., Lok, B., Cendan, J.: Optimal learning in a virtual patient simulation of cranial nerve palsies: the interaction between social learning context and student aptitude. Med. Teach. 35(1), e876–884 (2013)
Peden, M., Chuah, J., Kotranza, A., Lok, B., Cendan, J., Johnsen, K.: Nerve - a three dimensional patient simulation for evaluating cranial nerve function. MedEdPORTAL Publications (2011)
Vinayagamoorthy, V., Gillies, M., Steed, A., Tanguy, E., Pan, X., Loscos, C., Slater, M.: Building expression into virtual characters. Eurographics State of the Art Reports (2006)
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© 2015 Springer International Publishing Switzerland
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Brenton, H., Woodward, P., Gillies, M., Birns, J., Ames, D., Bello, F. (2015). Linking Aetiology with Social Communication in a Virtual Stroke Patient. 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_27
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DOI: https://doi.org/10.1007/978-3-319-21996-7_27
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