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An Approach for Detecting Social Interactions on Mobile Devices
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Author(s): Isadora Vasconcellos e Souza (Universidade Federal de Santa Maria, Brazil), William Bortoluzzi Pereira (Universidade Federal de Santa Maria, Brazil)and João Carlos D Lima (Universidade Federal de Santa Maria, Brazil)
Copyright: 2018
Pages: 27
Source title:
Mobile Applications and Solutions for Social Inclusion
Source Author(s)/Editor(s): Sara Paiva (Instituto Politécnico de Viana do Castelo, Portugal)
DOI: 10.4018/978-1-5225-5270-3.ch001
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Abstract
Social exclusion can occur in a variety of ways, one of which is lack of social interaction. The recognition of the social relations that occur in a group is fundamental to identify possible exclusions. This chapter proposes SocialCount, a mobile application that identifies social interactions performed by the user. In order not to interfere in the naturalness of relationships, the application was designed to infer social interactions without user intervention. The data of the interactions generated sociograms that represented the structure of the relations in a group in a simple way. Through the sociogram it was possible to visualize the users who may be socially at risk and alert the professionals responsible to solve the situation.
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