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We feel happy when web-browsing operations provide us with necessaryinformation; otherwise, we feel bitter. How to measure this happiness (orbitterness)? How does the profile of happiness grow and decay during the courseof web-browsing? We propose a probabilistic framework that models evolution ofuser satisfaction, on top of his/her continuous frustration at not finding therequired information. It is found that the cumulative satisfaction profile of aweb-searching individual can be modeled effectively as the sum of random numberof random terms, where each term is mutually independent random variable,originating from 'memoryless' Poisson flow. Evolution of satisfaction over theentire time interval of user's browsing was modeled with auto-correlationanalysis. A utilitarian marker, magnitude of greater than unity of whichdescribe happy web-searching operations; and an empirical limit that connectsuser's satisfaction with his frustration level - are proposed too. Presence ofpertinent information in the very first page of a web-site and magnitude of thedecay parameter of user satisfaction (frustration, irritation etc.), are foundto be two key aspects that dominate web-browser's psychology. The proposedmodel employed different combination of decay parameter, searching time andnumber of helpful web-sites. Obtained results are found to match the resultsfrom three real-life case-studies.

How happy is your web browsing? A model to quantify satisfaction of an Internet user, searching for desired information