Listar UNIR REVISTAS por tema 

ListarUNIR REVISTAS por tema "trust"

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    • A Study on Persuasive Technologies: The Relationship between User Emotions, Trust and Persuasion 

      Ahmad, Wan Nooraishya Wan; Ali, Nazlena Mohamad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      A successful persuasive technology is able to persuade people to change from one state to a more well known state. Therefore, to allow for a change, persuasive technology must be able to affect users’ emotion and make the ...

    • Afectividad y autodisciplina 

      Gordillo Álvarez-Valdés, M. Victoria (Revista Española de Pedagogía, 01/1982)
      Se trata de examinar los presupuestos en los que se basan distintas corrientes educativas actualmente en boga -especialmente, las derivadas del existencialismo- y sus consecuencias en el campo de la educación. Destaca en ...

    • Empirical Analysis of Ethical Principles Applied to Different AI Uses Cases 

      López Rivero, Alfonso José; Beato, M. Encarnación; Muñoz Martínez, César; Cortiñas Vázquez, Pedro Gonzalo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      In this paper, we present an empirical study on the perception of the ethical challenges of artificial intelligence groups in the classification made by the European Union (EU). The study seeks to identify the ethical ...

    • Pluralismo educativo y niños vulnerables 

      Glenn, Charles L. (Revista Española de Pedagogía, 01/2022)
      España ha adoptado una vez más una ley de educación integral. No me corresponde —ni tengo las competencias adecuadas para ello— comentar sobre el controvertido proceso previo a la promul­gación de esta legislación, ni sobre ...

    • Social Relations and Methods in Recommender Systems: A Systematic Review 

      Medel, Diego; González-González, Carina; V. Aciar, Silvana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      With the constant growth of information, data sparsity problems, and cold start have become a complex problem in obtaining accurate recommendations. Currently, authors consider the user's historical behavior and find ...