Abstract
The human mind mechanism has been undiscovered for a long time in the field of brain sciences. Computational psychophysiology (CPP), namely, using the collected human physical parameters to quantitatively measure the human psychological status by leveraging the methods of artificial intelligence (AI) and big data, has brought a quantitative way to explore the mind mechanism. Nevertheless, the current CPP theory has still remained a long distance to disclose the mind mechanism thoroughly and comprehensively. In this paper, we propose a novel theory of computational psychophysiology field, which reveals the dynamic regulations of human psychological changes quantitatively and objectively by introducing the theory of field in physics. It can contribute to the hierarchical classification, personalized and precision medical treatment for psychiatric patients.
| Translated title of the contribution | Exploring the Theory of Computational Psychophysiology Field |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 740-749 |
| Number of pages | 10 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 44 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - Jul 2024 |