Testes com usuários para análise de emoções em conteúdos audiovisuais utilizando EEG e eye tracking

  • Felipe Melo Feliciano de Sá UFPB
  • Daniel de Queiroz Cavalcanti UFPB
  • Valdecir Becker UFPB


This paper describes methods for testing and analyzing brain waves during the consumption of audiovisual content, carried out with 10 individuals, in order to identify patterns of unconscious emotions that can influence an individual’s decision, particularly whether they enjoyed a specific content and if there is a predisposition to watch it in a movie theather. This research aims to define user testing methods within an emotion identification system using EEG (electroencephalography), with the goal of assessing the accuracy and usability of the system in detecting and interpreting users’ emotions based on brain activities captured by EEG. This testing approach is crucial for validating the practical applicability of the system and understanding its behavior in a real-world environment with real users. It’s based on the Design Science Research (DSR) method and utilizes the Emotiv Insight EEG headset for brain wave capture, incorporating eye tracking to map individuals’ eye movements. For the tests, two questionnaires were administered. A preliminary one was used to gather participants’ psychological and physical states, and a post-test was conducted to collect feedback on the content viewed and self-assessments of emotional states. In conclusion, the results demonstrate the effectiveness of the techniques within the applied context, indicating progress in the evaluation of audiovisual content by reflecting unconsciously generated emotions and providing insight into the perceived content.

Palavras-chave: Emotion analysis, EEG, DSR, Eye Tracking


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DE SÁ, Felipe Melo Feliciano; CAVALCANTI, Daniel de Queiroz; BECKER, Valdecir. Testes com usuários para análise de emoções em conteúdos audiovisuais utilizando EEG e eye tracking. In: CONCURSO DE TRABALHOS DE INICIAÇÃO CIENTÍFICA - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 29. , 2023, Ribeirão Preto/SP. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 63-66. ISSN 2596-1683. DOI: https://doi.org/10.5753/webmedia_estendido.2023.235663.