Self-adaptive Response in Spatial Information Ecosystems

The formation of pervasive information and service systems is the next step towards the emergence of an implicitly interacting society. Applications for such a system benefit from guaranteed behavior and features such as self-organization or attention awareness. This paper presents a qualitative spatial interaction model for an "Ecosystem of Displays" to achieve such behavior. A portable sensor system based on infrared-depth technology to generate spatial relations between system components has been developed and was used in an experiment to evaluate the suitability of the presented technology and model. Using the system we were able to completely abstract complex movement patterns with precisions of 58.3% (sensor stationary), 64.4% (sensor moving straight) and 85.4% (sensor rotating). The results show that qualitative spatial abstractions can be effectively generated using infrared depth technology and support our hypothesis that these abstractions constitute a valid means to achieve self-organization and attention-recognition of artifacts in display ecosystems.