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Multimodal Personality Recognition for Affective Computing

In: Multimodal Affective Computing

Author

Listed:
  • Ramón Zatarain Cabada

    (Instituto Tecnológico de Culiacán)

  • Héctor Manuel Cárdenas López

    (Instituto Tecnológico de Culiacán)

  • Hugo Jair Escalante

    (Instituto Nacional de Astrofísica)

Abstract

This chapter focuses on experiments applied to personality recognition models. It begins with a description of the experimental setup and evaluation protocols, highlighting the differences between each model and modality. The chapter then explores the concept of models as a service, including model banks, service managing, query sorting, and the challenges and techniques for their implementation. Finally, the chapter discusses the application of personality recognition in education, specifically how intelligent tutoring agents can use personality for affect-driven learning. The chapter presents alternative implementations of personality recognition models in education, such as vocational guidance. Overall, the aim of this chapter is to provide readers with a deeper understanding of the comparison between laboratory and real-life applications of personality recognition models and the potential for models as a service technology to be used in education.

Suggested Citation

  • Ramón Zatarain Cabada & Héctor Manuel Cárdenas López & Hugo Jair Escalante, 2023. "Multimodal Personality Recognition for Affective Computing," Springer Books, in: Multimodal Affective Computing, chapter 0, pages 173-208, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-32542-7_15
    DOI: 10.1007/978-3-031-32542-7_15
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