User modeling in adaptive audio-augmented museum environments

The paper illustrates approaches for making audio-augmented museum environments adaptive. Based on well-known user modeling techniques we present a combination of suitable components that adapt audio information to the interests, preferences and motion of a museum's visitor. The underlying environment, i.e. the carrier and transmitter of information, is provided by the LISTEN system, which enables the augmentation of everyday environments with audio information.