Nicolas Maisonneuve

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Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel approach to monitor noise pollution involving the general public. Using(More)
We have created a set of novel visualisations of group activity: they mirror activity of individuals and their interactions, based upon readily available authentic data. We evaluated these visualisations in the context of a semester long software development project course. We give a theoretical analysis our visualisations' design using the framework from(More)
In this paper we present a new approach to monitor noise pollution involving citizens and built upon the notions of participatory sensing and citizen science. We enable citizens to measure their personal exposure to noise in their everyday environment by using GPS-equipped mobile phones as noise sensors. The geo-localised measures and user-generated(More)
In this paper we present a new approach for the assessment of noise pollution involving the general public. The goal of this project is to turn GPS-equipped mobile phones into noise sensors that enable citizens to measure their personal exposure to noise in their everyday environment. Thus each user can contribute by sharing their geo-localised measurements(More)
It is difficult, but very important, to learn to work effectively as part of a team. One potentially invaluable source of information about the success, or problems, in the way that teams learn can be drawn from the electronic traces of their collaborations. The paper describes data mining of student group interaction data to identify significant sequences(More)
We have created a set of novel visualisations of group activity: they have been designed to mirror the activity of the individuals and their interactions , based upon readily available authentic data from the groups. We evaluated these visualisations in the context of a semester long software development project course. Data from these was used to build(More)
In this paper we describe three visualisations we have created to support teams of students learning about eXtreme programming, and various communication and software technologies, in the context of completing a classic capstone group software project. One displays the users' level of activity, the second their level of interaction and the third, our(More)
With vast quantities of imagery now available online, researchers have begun to explore whether visual patterns can be discovered automatically. Here we consider the particular domain of architecture, using huge collections of street-level imagery to find visual patterns that correspond to semantic-level architectural elements distinctive to particular time(More)