Affective computing to enhance emotional sustainability of students in dropout prevention

Manuella Kadar, Emmanuelle Gutiérrez Y Restrepo, Fernando Ferreira, Jorge Calado, Andreia Artifice, Joao Sarraipa, Ricardo Jardim-Goncalves

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In ACACIA project, through its Apoya module seeks to provide means and methods to enhance emotional sustainability as innovative approach to student's dropout prevention. Emotional state of the students at risk of dropout have to be assessed and innovative methods for counselling and curricula adaptation should be applied for getting out the student from the risk zone. The aim of this study is to propose an innovative solution to meliorate both emotional state and attention of students in risk of dropout. A scenario is presented in which eyetrackers and webcams are integrated in a platform in order to infer and manage students' emotional state in a smart classroom environment.

Original languageEnglish
Title of host publicationDSAI 2016 - Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion
PublisherAssociation for Computing Machinery
Pages85-91
Number of pages7
ISBN (Electronic)978-145034748-8
DOIs
Publication statusPublished - 1 Dec 2016
Event7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, DSAI 2016 - Vila Real, Portugal
Duration: 1 Dec 20163 Dec 2016

Conference

Conference7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, DSAI 2016
CountryPortugal
CityVila Real
Period1/12/163/12/16

Keywords

  • Affective computing
  • Emotional state detection
  • Sensors
  • Student counselling

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  • Cite this

    Kadar, M., Gutiérrez Y Restrepo, E., Ferreira, F., Calado, J., Artifice, A., Sarraipa, J., & Jardim-Goncalves, R. (2016). Affective computing to enhance emotional sustainability of students in dropout prevention. In DSAI 2016 - Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion (pp. 85-91). Association for Computing Machinery. https://doi.org/10.1145/3019943.3019956