SocialCount - Detecting Social Interactions on Mobile Devices

Isadora Vasconcellos e Souza, João Carlos Damasceno Lima, Benhur de Oliveira Stein, Cristiano Cortez da Rocha

2018

Abstract

With mobile devices increasingly powerful and accessible to the majority of the population, applications have begun to become increasingly intelligent, customizable and adaptable to users’ needs. To do this, context-aware applications are developed. In this work, we create an approach to infer social interactions through the identification of the user’s voice and to recognize their social context. Data from the social context of the user has been useful in many real-life situations, such as identifying and controlling infectious disease epidemics.

Paper Citation

in Harvard Style

Vasconcellos e Souza I., Damasceno Lima J., de Oliveira Stein B. and Cortez da Rocha C. (2018). SocialCount - Detecting Social Interactions on Mobile Devices.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-298-1, pages 511-518. DOI: 10.5220/0006696605110518

in Bibtex Style

@conference{iceis18,
author={Isadora Vasconcellos e Souza and João Carlos Damasceno Lima and Benhur de Oliveira Stein and Cristiano Cortez da Rocha},
title={SocialCount - Detecting Social Interactions on Mobile Devices},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2018},
pages={511-518},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006696605110518},
isbn={978-989-758-298-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - SocialCount - Detecting Social Interactions on Mobile Devices
SN - 978-989-758-298-1
AU - Vasconcellos e Souza I.
AU - Damasceno Lima J.
AU - de Oliveira Stein B.
AU - Cortez da Rocha C.
PY - 2018
SP - 511
EP - 518
DO - 10.5220/0006696605110518