  This paper describes a framework for the investigation and modeling of human
spatial guidance behavior in complex environments. The model is derived from
the concept of interaction patterns, which represent the invariances or
symmetries inherent in the interactions between an agent and its environment.
These patterns provide the basic elements needed for the formalization of
spatial behavior and determine a natural hierarchy that can be unified under a
hierarchical hidden Markov model.
