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Perso2U: Exploration of User Emotional States to Drive Interface Adaptation

  • Julián Andrés GalindoEmail author
  • Raúl Mazo
  • Edison Loza-Aguirre
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 895)

Abstract

Taking into account dynamic user properties such as emotions for interfaces adaptation at runtime is a challenging task. To deal with this issue, we propose to personalize user interfaces at runtime based on user’s emotions. This approach depends on emotion recognition tools to allow an Inferring Engine to deduce user emotions during the interaction. However, this inference releases many emotions without aggregating them. It makes more difficult the interpretation of user experience. Thus, we explore the feasibility of inferring similar emotional states (negative, positive and neutral) by grouping individual emotions. To achieve our goal, this paper reports on the results of an experiment to compare detected emotional states from different face recognition tools in web interaction. It evidences that it is feasible to infer similar emotion states (positive, negative, and neutral) from different emotion recognition tools, and the level of this similarity is still premature to have a robust categorization.

Keywords

User interface adaptation Inferring engine Emotion recognition Face detection Runtime 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Julián Andrés Galindo
    • 1
    • 2
    Email author
  • Raúl Mazo
    • 3
    • 4
  • Edison Loza-Aguirre
    • 1
  1. 1.Departamento de Informática y Ciencias de la ComputaciónEscuela Politécnica NacionalQuitoEcuador
  2. 2.University Grenoble Alpes, CNRS, LIGGrenobleFrance
  3. 3.Université Paris 1 Panthéon – Sorbonne, CRIParisFrance
  4. 4.Universidad Eafit, Grupo GIDITICMedellínColombia

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