Emotional well-being in smart environments
Autor: | Susanna Pirttikangas, Marta Cortes, Eija Halkola, Fatema Sultana Chowdhury, Lauri Lovén, Tapio Seppänen |
---|---|
Rok vydání: | 2020 |
Předmět: |
Computer science
Context (language use) 02 engineering and technology Electroencephalography 01 natural sciences well-being 0202 electrical engineering electronic engineering information engineering medicine EEG ICA affective computing Affective computing Proxy (statistics) medicine.diagnostic_test smart environment 010401 analytical chemistry technology industry and agriculture 020207 software engineering 0104 chemical sciences Emotional well-being Everyday tasks Well-being Smart environment measurement sensoring Cognitive psychology |
Zdroj: | UbiComp/ISWC Adjunct |
DOI: | 10.1145/3410530.3414437 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |