Abstract
A visit to a public collection is potentially one of the most effective and entertaining ways of knowledge acquisition open to the viewing public. Such collections are nevertheless coming under increased pressure, due to competition from alternative forms of ‘edutainment’ and ‘digital convergence’, to improve the Quality of Experience given to visitors. This paper reports on the convergence of elements of pervasive and adaptive computing, in the construction and implementation of an interactive museum exhibit, which uses fuzzy inference from user behaviour to personalise the exhibit’s behavioural response. We describe a usability experiment which shows that the technological enrichment of conventional environments and artefacts, together with intelligent decision-making, can have a positive impact on Quality of Experience.
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© 2012 Springer-Verlag Berlin Heidelberg
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Pitt, J., Bhusate, A. (2012). Enhancing Quality of Experience in Public Collections. In: Trillas, E., Bonissone, P., Magdalena, L., Kacprzyk, J. (eds) Combining Experimentation and Theory. Studies in Fuzziness and Soft Computing, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24666-1_20
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DOI: https://doi.org/10.1007/978-3-642-24666-1_20
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