Abstract
Smart interactions, where web services are configured and integrated across multiple servers in order to better address the needs of the user, will be much more user-centric and responsive to user needs than current interactions. However, Smart interactions associated with decision-making tasks will specifically have to provide enhanced information or guidance linked to that task. In this paper we examine how predictive analytics can be used to provide cognitive support for smart interactions and outline a method consistent with the smart internet user model to facilitate the creation of predictive analytics components or services to support smart interactions for decision-making tasks.
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Martin, P., Matheson, M., Lo, J., Ng, J., Tan, D., Thomson, B. (2010). Supporting Smart Interactions with Predictive Analytics. In: Chignell, M., Cordy, J., Ng, J., Yesha, Y. (eds) The Smart Internet. Lecture Notes in Computer Science, vol 6400. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16599-3_8
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DOI: https://doi.org/10.1007/978-3-642-16599-3_8
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