Lifelong User Modeling and Meta-cognitive Scaffolding: Support Self Monitoring of Long Term Goals.

Abstract

Abstract. It is becoming increasingly easy to capture lifelong data about a person. This creates the potential for valuable new ways for people to self-monitor diverse aspects their lives. If people are to do this effectively, we need to ensure that relevant aspects of lifelong user models are available to the user, in a form that is meaningful. Beyond this, current research indicates that most people need a meta-cognitive scaffolding to make more effective use of such information. This paper reviews work about such meta-cognitive scaffolding. Then it presents use cases illustrating how this scaffolding can help people achieve long term goals. We use these to identify requirements for the architecture and associated user interfaces for a lifelong user model with scaffolded self monitoring. Our key contribution is the requirements for a system that scaffolds self monitoring of long term goals, based on data stored in a lifelong user model.