Search results for: AFFECTIVE%20COMPUTING

• Affective computing and affective learning – methods, tools and prospects

  Publication

  • A. Landowska

  - EduAkcja. Magazyn Edukacji Elektronicznej - Year 2013

  Every teacher knows that interest, active participation and motivation are important factors in the learning process. At the same time e-learning environments almost always address only the cognitive aspects of education. This paper provides a brief review of methods used for affect recognition, representation and processing as well as investigates how these methods may be used to address affective aspect of e-education. The paper...

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• Investigation of educational processes with affective computing methods

  Publication

  • A. Landowska
  • G. Brodny

  - e-mentor - Year 2017

  This paper concerns the monitoring of educational processes with the use of new technologies for the recognition of human emotions. This paper summarizes results from three experiments, aimed at the validation of applying emotion recognition to e-learning. An analysis of the experiments’ executions provides an evaluation of the emotion elicitation methods used to monitor learners. The comparison of affect recognition algorithms...

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• A note on the affective computing systems and machines: a classification and appraisal

  Publication

  • P. Weichbroth
  • W. Sroka

  - Procedia Computer Science - Year 2022

  Affective computing (AfC) is a continuously growing multidisciplinary field, spanning areas from artificial intelligence, throughout engineering, psychology, education, cognitive science, to sociology. Therefore, many studies have been devoted to the aim of addressing numerous issues, regarding different facets of AfC solutions. However, there is a lack of classification of the AfC systems. This study aims to fill this gap by reviewing...

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• IEEE Transactions on Affective Computing

  Journals

  ISSN: 1949-3045

• AffecTube — Chrome extension for YouTube video affective annotations

  Publication

  • D. Kulas
  • M. Wróbel

  - SoftwareX - Year 2023

  The shortage of emotion-annotated video datasets suitable for training and validating machine learning models for facial expression-based emotion recognition stems primarily from the significant effort and cost required for manual annotation. In this paper, we present AffecTube as a comprehensive solution that leverages crowdsourcing to annotate videos directly on the YouTube platform, resulting in ready-to-use emotion-annotated...

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• Journal of Affective Disorders

  Journals

  ISSN: 0165-0327 , eISSN: 1573-2517

• Advances in Intelligent Systems and Computing

  Journals

  ISSN: 2194-5357

• International Journal of Affective Engineering

  Journals

  ISSN: 2187-5413

• Journal of Affective Disorders Reports

  Journals

  eISSN: 2666-9153

• Social Cognitive and Affective Neuroscience

  Journals

  ISSN: 1749-5016 , eISSN: 1749-5024