Nonverbal Emotional Expression Database Development in the Context of Psychological Therapy

Authors

  • Konlakorn Wongpatikaseree Mahidol University
  • Panida Yomaboot Mahidol University
  • Napawan Munpansa Mahidol University
  • Narit Noohom Mahidol University
  • Sumeth Yuenyong Mahidol University

Keywords:

emotion, nonverbal expression, psychology, database, Artificial Intelligence (AI)

Abstract

This study aims to develop a database of nonverbal emotional expressions in the context of psychological counseling. The study focused on two nonverbal expression parameters: expressions conveyed through facial muscles and eye movements, and expressions conveyed through voice modulation. An experimental research method was employed by simulating a psychological counseling scenario among samples. During the 15-25-minute counselling session, each sample was randomly assigned to one mood induction based on the circumplex model of emotion theory. Their nonverbal emotional expressions were recorded in video clips. The records were then identified by individuals and psychologists according to the Facial Action Coding System and analysis of expressions through voice modulation. From the 15-25 minute video clips, the facial expressions dataset contained 3,000-8,000 sequential frames capturing various emotional states, while vocal expressions contained no linguistic meaning as they were incomplete phrases. The emotions identified from the records varied depending on different emotional inductions given to the samples. The nonverbal expression database could be used to develop an Artificial Intelligence (AI) model for emotion recognition exhibited by the Thai population in the provision of mental health services.

References

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Published

31-10-2024

How to Cite

Wongpatikaseree , K. ., Yomaboot, P., Munpansa, N., Noohom, N. ., & Yuenyong, S. . (2024). Nonverbal Emotional Expression Database Development in the Context of Psychological Therapy. Journal of Digital Communications, 8(2), 95–117. Retrieved from https://so04.tci-thaijo.org/index.php/NBTC_Journal/article/view/267216

Issue

Vol. 8 No. 2 (2024): July-December 2024

Section

Research article

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