Workflow Mining Application to Ambient Intelligence Behavior Modeling

  • Authors:
  • Carlos Fernández;Juan Pablo Lázaro;Jose Miguel Benedí

  • Affiliations:
  • Research Group of technologies for Health and Wellbeing (TSB), ITACA Institute, Polytechnic University of Valencia, Spain;Research Group of technologies for Health and Wellbeing (TSB), ITACA Institute, Polytechnic University of Valencia, Spain;Department of information Systems and Computation (DSIC), Polytechnic University of Valencia, Spain

  • Venue:
  • UAHCI '09 Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments
  • Year:
  • 2009

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Abstract

The handmade human behavior modeling requires too many human resources and for too long a time. In addition, the final result does probably not reflect the current status of the person due to the influence of time. The use on Workflow Mining techniques to infer human behavior models from past executions of actions can be a solution to this problem. In this paper, a Human Behavior modeling methodology based on Workflow Mining Techniques is proposed.