Emotional well-being in smart environments

Well-being in smart environments refers to the mental, physiological and emotional states of people passing through environments where sensors, actuators and computers are intertwined with everyday tasks. In that context, well-being must be measurable and, to some extent, susceptible to external influence within the short time-spans that people spend in those environments. Continuing our previous studies, we evaluate an experiment for well-being measurement and control, introducing EEG observations in the experiment. EEG, as an immediate and objective proxy of one’s mental, physiological and emotional state, provides ground truth for comparisons between sensors in the smart environment. We concentrate on the test subject’s emotional state, observed by way of comparing changes in the alpha frequency power levels in the left and right frontal cortical areas, respectively corresponding to positive and negative emotions. The results show that our experimental set-up induces significant changes in the test subject’s emotional state, paving the way for further studies on influencing personal well-being.

Authors:
Chowdhury Fatema Sultana, Lovén Lauri, Cortés Marta, Halkola Eija, Seppänen Tapio, Pirttikangas Susanna

Publication type:
A4 Article in conference proceedings

Place of publication:
UbiComp-ISWC ’20: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers

Keywords:
Affective Computing, EEG, ICA, measurement, sensoring, smart environment, well-being

Published:
30 September 2020

Full citation:
Fatema Sultana Chowdhury, Lauri Lovén, Marta Cortés, eija halkola, Tapio Seppänen, and Susanna Pirttikangas. 2020. Emotional well-being in smart environments: an experiment with EEG. In Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp-ISWC ’20). Association for Computing Machinery, New York, NY, USA, 680–683. DOI:https://doi.org/10.1145/3410530.3414437

DOI:
https://doi.org/10.1145/3410530.3414437

Read the publication here:
http://urn.fi/urn:nbn:fi-fe2020110989666