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Huang, Y., Yang, G., Shen, Y., Chen, H., Wu, W., Li, X., et al. (2025) Application of Large Language Models in Complex Clinical Cases: Cross-Sectional Evaluation Study. JMIR Medical Informatics, 13, e73941-e73941.
https://doi.org/10.2196/73941

has been cited by the following article:

• TITLE: Non-Verbal Signals, Social Media and Artificial Intelligence: Are Emotional Processes Becoming Simpler or More Sophisticated?

  AUTHORS: Alhadi Chafi

  KEYWORDS: Emotion, Cognition, Non-Verbal, Social Media, Artificial Intelligence

  JOURNAL NAME: International Journal of Intelligence Science, Vol.16 No.2, April 21, 2026

  ABSTRACT: Cognitive scientists have long attempted to explain emotional processes using models that vary in complexity. These span very simplistic views such as the ones from James and Lange (i.e., physiological arousal), or Cannon (i.e., homeostasis) to much more elaborated ones. The best example of this elaboration is Scherer’s component process model of emotion. Digital environments are sophisticated and complex though they appear to trigger extremely archaic emotional routes. These phylogenetically ancient mechanisms might explain the strength of humans’ addiction to digital devices like smartphones. The present research paper aims to understand the interactions between technologically advanced processes and primary, archaic mechanisms in humans. The underlying question being the following: are emotional processes becoming simpler or more sophisticated?