amsys 18(17): e1

Research Article

Using the Internet of Things to Support Emotional Health

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  • @ARTICLE{10.4108/eai.23-3-2018.154372,
    author={Jeanette Eriksson and Nancy L. Russo and Javier Marin},
    title={Using the Internet of Things to Support Emotional Health},
    journal={EAI Endorsed Transactions on Ambient Systems},
    volume={5},
    number={17},
    publisher={EAI},
    journal_a={AMSYS},
    year={2018},
    month={3},
    keywords={emotion, emotion-tracking applications, Internet of Things},
    doi={10.4108/eai.23-3-2018.154372}
}
  • Jeanette Eriksson
    Nancy L. Russo
    Javier Marin
    Year: 2018
    Using the Internet of Things to Support Emotional Health
    AMSYS
    EAI
    DOI: 10.4108/eai.23-3-2018.154372
Jeanette Eriksson1, Nancy L. Russo1,*, Javier Marin2
  • 1: IoTaP Research Center, Computer Science and Media Technology Department, Malmö University, Nordenskiöldsgatan 1, 205 06, Malmö, Sweden
  • 2: IDERGO Research group, I3A, Design and Manufacturing Engineering Department, University of Zaragoza, Mariano Esquillor s/n, 50018, Zaragoza, Spain.
*Contact email: nancy.russo@mah.se

Abstract

A first step towards emotional well-being is to monitor, understand and reflect upon one’s feelings and emotions. A number of personal emotion-tracking applications are available today. In this paper we describe an examination of these applications which indicates that many of the applications do not provide sufficient support for monitoring a full spectrum of emotional data or for analysing or using the data that is provided. To design applications that better support emotional well-being, the full capabilities of the Internet of Things should be utilized. The paper concludes with a description of how Internet of Things technologies can enable the development of systems that can more accurately capture emotional data and support personal learning in the area of emotional health.

Keywords
emotion, emotion-tracking applications, Internet of Things
Received
2017-11-30
Accepted
2018-03-21
Published
2018-03-23
Publisher
EAI
http://dx.doi.org/10.4108/eai.23-3-2018.154372

Copyright © 2018 Jeanette Eriksson et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.