Enhancing Quality of Experience in Public Collections

  • Jeremy Pitt
  • Arvind Bhusate
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 271)


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.


Membership Function User Experience Fuzzy Inference System User Behaviour Intelligent Decision 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Electrical & Electronic EngineeringImperial College LondonLondonUK

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