Study on Social Interaction between Kids

This study is focused on an experimental study that has been carried out by COPELABS in cooperation with CIS-IUL and with Escola EB2,3, Pedro D’Orey da Cunha. This is an interdisciplinary study developed in the context of the COPELABS Proxemics Data Lab project, FCT reference number UID/MULTI/04111/2016, and involved an interdisciplinary team composed of computer scientists, and social psychologists, the school, as well as 80-140 students (10 to 14 year old) from different classes. Aiming at analyzing social interaction patterns of children in regards to different aspects such as contact theory and well-being and spaces, this study contemplated an interdisciplinary methodology where data obtained via surveys has been crossed with data obtained via a non-intrusive publicly available software that senses roaming patterns, PerSense Mobile Light (PML). Specific aspects being analyzed are: I) inter-prejudice reduction based on contact between members of different groups; ii) clustering aspects and mobility patterns to better perceive aspects such as inter-personal interaction; iii) relation of mobility towards spaces and well-being.


Authors: Mauro Bianchi, Anna Pegna, Rute Carvalho Sofia, Igor dos Santos, Ana Loureiro, Joana Santos, Ricardo Rodrigues (IUL).

NSense: A People-centric, non-intrusive Opportunistic Sensing Tool for Contextualizing Social Interaction

The scientific paper NSense (Rute C. Sofia, Saeik Firdose, Luis Amaral Lopes, Waldir Moreira and Paulo Mendes) has been accepted in IEEE Healthcom 2016 (September 14th-18th, Munich). NSense is a software tool developed by COPELABS that tracks and infers social interaction aspects in the form of computational utility functions that aim at describing two indicators of interaction: propinquity, and social interaction level


Proxemics Data Lab (01.01.2017-31.12.2018)

In the Proxemics Data Lab, COPELABS works on behavior correlation/inference via pervasive, non-intrusive technology (short range wireless); study proxemics and relation/impact on well-being. Together, psychologists and computer scientists develop know-how and technology on two main areas: community/group dynamics, and early detection of neuro/psychological disorders.

The Proxemics Data Lab was presented at CIencia 2016

This project is supported by Fundação para a Ciência e Tecnologia (2016-2018) and by COPELABS, University Lusófona, reference number UID/MULTI/04111/2016.

NSense: Measuring Nearness in Real-time

NSense VideoThe NSENSE beta version is out! NSENSE aims at better understanding the physical and social context of the users. In the beta version application provides some context data in non-intrusive way, and the data(not personal) are stored only on the device, not being sent to the Cloud.  This application is a product of the CitySense project which exploits its capabilities to stimulate social behaviour, encourage cooperation among users and provide trustable means for user interaction.

In the Proxemics Data Lab, we are using NSense in the context of crowd sensing.