Please use this identifier to cite or link to this item: https://ruomoplus.lib.uom.gr/handle/8000/1004
Title: Mobile Sensing for Emotion Recognition in Smartphones: A Literature Review on Non-Intrusive Methodologies
Authors: Tzafilkou, Katerina 
Economides, Anastasios 
Protogeros, Nicolaos 
Author Department Affiliations: Department of Economics 
Department of Economics 
Department of Accounting & Finance 
Author School Affiliations: School of Economic and Regional Studies 
School of Economic and Regional Studies 
School of Business Administration 
Subjects: FRASCATI__Social sciences__Psychology__Psychology (including: human-machine relations)
FRASCATI__Social sciences__Psychology__Psychology (including: human-machine relations)
Keywords: affective computing
mobile emotion sensing
mobile learning emotion recognition
multimodal signals
smartphone sensing
Issue Date: 2022
Journal: International Journal of Human–Computer Interaction 
ISSN: 1044-7318
1532-7590
Volume: 38
Issue: 11
Start page: 1037
End page: 1051
Abstract: 
This paper aims to provide the reader with a comprehensive background for understanding current knowledge on the use of non-intrusive Mobile Sensing methodologies for emotion recognition in Smartphone devices. We examined the literature on experimental case studies conducted in the domain during the past six years (2015–2020). Search terms identified 95 candidate articles, but inclusion criteria limited the key studies to 30. We analyzed the research objectives (in terms of targeted emotions), the methodology (in terms of input modalities and prediction models) and the findings (in terms of model performance) of these published papers and categorized them accordingly. We used qualitative methods to evaluate and interpret the findings of the collected studies. The results reveal the main research trends and gaps in the field. The study also discusses the research challenges and considers some practical implications for the design of emotion-aware systems within the context of Distance Education.
URI: https://doi.org/10.1080/10447318.2021.1979290
https://ruomoplus.lib.uom.gr/handle/8000/1004
DOI: 10.1080/10447318.2021.1979290
Corresponding Item Departments: Department of Economics
Department of Economics
Department of Accounting & Finance
Appears in Collections:Articles

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