The main topic of this paper is on modelling a human operator in the dialogue manager of the Alparon system. First, a corpus of 200 human-human dialogues have been analysed by applying an approach surpassing a finite state automation approach. The corpus analysis resulted in a set of common strategies applied by professional human operators in similar situations. Secondly, a prototype system has been built based on the Alparon dialogue manager. This has been done by translating the strategies into knowledge rules and heuristics as these are used by the dialogue control modules in the Alparon dialogue manager.