A Concept Design for a Positive Mood Supporting Application

Mood and emotion are considered distinct phenomena, yet there is a general lack of consensus within the scientific community concerning their definition. Leveraging on a physiology-based definition of these phenomena and their relation, we propose a concept design to define a real-time realworld positive mood supporting application. In particular, the application will be provided through wearable and portable devices, and comprise different blocks related to the user profiling, the identification of proper mood stimuli based on the users' responses, and a mood detection system. Therefore, multiple data will be exploited to provide an effective and efficient positive mood support, starting from user demographics, moving to an ecological momentary assessment of mood, and integrating physiological signal analyses.

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Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/cbmi62980.2024.10859226
Citations
1
Primary Topic
Energy and Environmental Systems
Type
article
Field-Weighted Citation Impact
0.68
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article

A Concept Design for a Positive Mood Supporting Application

Francesco Ferrise, Aurora Saibene, Nicolò Dozio, Francesca Gasparini et al.
1 citations
Energy and Environmental Systems
0.68
article

A Concept Design for a Positive Mood Supporting Application

Francesco Ferrise, Aurora Saibene, Nicolò Dozio, Francesca Gasparini, Riccardo Giussani, Claudia Rabaioli
article en
1 citations

Abstract

Mood and emotion are considered distinct phenomena, yet there is a general lack of consensus within the scientific community concerning their definition. Leveraging on a physiology-based definition of these phenomena and their relation, we propose a concept design to define a real-time realworld positive mood supporting application. In particular, the application will be provided through wearable and portable devices, and comprise different blocks related to the user profiling, the identification of proper mood stimuli based on the users' responses, and a mood detection system. Therefore, multiple data will be exploited to provide an effective and efficient positive mood support, starting from user demographics, moving to an ecological momentary assessment of mood, and integrating physiological signal analyses.

University of Milano-Bicocca (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 19%
Energy and Environmental Systems
0.68
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A Concept Design for a Positive Mood Supporting Application — Francesco Ferrise, Aurora Saibene, et al. · (2024) | TGRS Research Map | TGRS