Towards the Simulation of Large Environments

The development of a smart environment working into large facilities is not a trivial matter. What kind of intelligence is needed and how this intelligence will interact with individuals is a critical issue that cannot be solved just by thinking about the problem. A combination of social and computer science methods is necessary to learn and model the interplay between the environment and the environment inhabitants. This paper contributes with an ongoing case study that exemplifies this kind of combination. The case study considers two faculty buildings and a behavior to be modified. The goal is to design a set of devices that sends signals to passing-by pedestrians in order to make them use more the staircases. Banners, videos, and directed intervention are used. The effect of each one is measured and such measurements are reproduced into computer simulations. This information is necessary in order to determine the duration, the intensity of the stimulus, and the response of the individuals. Opposite to most works, the measurements do not provide full information of what is going on in the large facility. As a consequence, algorithms and software to fill in the gaps consistently are needed. The paper describes the current state of the simulations and the difficulties in modeling with precision the results in a case study.

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