The development of ICT infrastructures has facilitated the emergence
of new paradigms for looking at society and the environment over
the last few years. Participatory environmental sensing, i.e. directly
involving citizens in environmental monitoring, is one example, which
is hoped to encourage learning and enhance awareness of environmental
issues. In this paper, an analysis of the behaviour of individuals
involved in noise sensing is presented. Citizens have been involved
in noise measuring activities through the WideNoise smartphone application.
This application has been designed to record both objective (noise
samples) and subjective (opinions, feelings) data. The application
has been open to be used freely by anyone and has been widely employed
worldwide. In addition, several test cases have been organised in
European countries. Based on the information submitted by users,
an analysis of emerging awareness and learning is performed. The
data show that changes in the way the environment is perceived after
repeated usage of the application do appear. Specifically, users
learn how to recognise different noise levels they are exposed to.
Additionally, the subjective data collected indicate an increased
user involvement in time and a categorisation effect between pleasant
and less pleasant environments.