User behavior patterns: Gathering, analysis, simulation and prediction

Abstract

This paper presents methods and tools for gathering, analyzing and predicting behavior patterns. Considered both for a single user and for groups of users, behavior patterns may impact at a local and/or global level. The first part explains how to gather behaviors in various situations and how to drill from overt behaviors into deeper cognitive processes. The rationale of cognitive modeling and guidelines to perform it are provided. The second part deals with analysis methods that enable to detect behavior patterns. Bottom-up analysis based on existing data is augmented with top-down analysis based on conceptual design choices and hypotheses. The last part emphasizes the needs of data storage and data sharing in the organization. Beyond data storage and sharing, it presents the benefits of using Adaptive Business Intelligence in order to simulate and predict possible situations as well as the appropriated behavior patterns that enable to adapt. © 2009 Springer Berlin Heidelberg.