“Serendipity Engineering for Seductive Hypermedia” and “User Analysis Using Socialnomics”

Abstract

This chapter expends the application of the ecological cognition framework to serendipity engineering, seductive hypermedia, user analysis, and socialnomics. It updates the theory to better account for the advances in computational science computational intelligence. In terms of ‘serendipity engineering for seductive hypermedia', the chapter looks at how to design information systems to account for the pleasant occurrences that happen in offline environments studied by those in sales and marketing where beneficial outcomes often occur by chance encounters. In terms of ‘user analysis using socialnomics', it looks at how a parametric user model based on the ecological framework can be used to understand users of information systems. To do this, a number of socialnomics equations based on the parametric user model are explored, including to calculate probability of seduction and probability of serendipity in an information system. The parametric model presented has great applicability for information and communications technology solution providers.