Addressee-Tailored Interpretation of Air Quality Data

Abstract

Most of the available air quality information systems deliver only raw air quality data like pollutant concentrations. This raw data is rarely self-explanatory and is not sufficient to inform the general public on air quality. To provide comprehensive air quality information to the public the data has to be assessed and interpreted focusing on the addressees requirements. These requirements differ a lot depending on social, cultural and knowledge backgrounds or the state of health. This paper will show how this user tailored interpretation is implemented in the EU funded project MARQUIS (Multimodal AiR QUality Information Service for General Public).