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Building Resources for Personality Recognition

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 discusses the various implementation strategies required for automatic personality recognition data collection. It begins by outlining the data structure design, which includes techniques such as modality selection, data labeling, context definition, and standardized test generation methodologies. The chapter then delves into the architecture design of the data collection application, outlining the various services and workflow designs used to extract personality-relevant data. Finally, the chapter describes three experimental setups conducted in different instances for dataset creation. Overall, this chapter emphasizes the importance of the various subprocesses and techniques required for creating a dataset for automatic personality recognition.

Suggested Citation

  • Ramón Zatarain Cabada & Héctor Manuel Cárdenas López & Hugo Jair Escalante, 2023. "Building Resources for Personality Recognition," Springer Books, in: Multimodal Affective Computing, chapter 0, pages 151-157, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-32542-7_12
    DOI: 10.1007/978-3-031-32542-7_12
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