Systematic design of environmental monitoring interface by Bayesian classification

Conventional interface design leaves little room for users to autonomously arrange icons or choose contents to be displayed on the screen. Recently, with the touch equipments on the rise, they provide users a brand new experience of intuitive and convenient operational styles. In this paper six factors, 5W and 1H, are used to automatically allocate interesting environmental quality monitoring factors on the screen. Besides, grey models are constructed to predict the future variations of environmental indices. The proposed system not only allows users to have freedom in selecting and allocating factors on the screen but also provides them useful information about environmental quality variations of the surroundings.