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Towards Perceptual Computing in BACS: An Air Quality Assistant based on Fuzzy Logic and Perceptual Knowledge

An air quality assistant is modeled with the purpose to advertise visual feedback about the predicted perceived air quality. Therefore, a literature research about environmental parameters affecting the perception of the air quality is done to create a knowledge base. The knowledge base is used to model the system behavior. Following the resulting model, the temperature and the CO2 concentration are monitored. Quantitative data about the air quality perception are analyzed and fuzzy logic is used to assign the measured parameter values to an adequate visual representation. A pilot study is carried out to get a first impression of differences between the advertised air quality and the actual perception of the air quality. The results show that the advertised air quality is generally slightly accepted. However, the acceptance ratings show differences between air quality conditions perceived as pleasant and those perceived as unpleasant.