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The establishment of dynamic microexpression training tool.

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|February 16, 2026
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Summary
This summary is machine-generated.

The new dynamic microexpression training tool (DMETT) effectively enhances dynamic microexpression recognition skills. This tool, utilizing existing techniques, shows reliability and validity, with females demonstrating superior learning ability.

Keywords:
DMETTdynamic microexpressiongender differencerecognition techniquetraining effect

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Area of Science:

  • Psychology
  • Cognitive Science
  • Human-Computer Interaction

Background:

  • Existing microexpression tools lack training for dynamic recognition under expressive backgrounds.
  • Dynamic microexpression recognition is crucial for understanding complex human emotions.

Purpose of the Study:

  • To develop and validate a dynamic microexpression training tool (DMETT).
  • To assess the effectiveness of existing microexpression recognition techniques in dynamic contexts.
  • To investigate gender differences in dynamic microexpression recognition and learning.

Main Methods:

  • A pretest-training-posttest design using the dynamic microexpression recognition ability test (DMERT).
  • Training involved established microexpression recognition techniques (METT) within the novel DMETT.
  • Experiments manipulated background expression type, background emotional arousal, dynamic microexpression type, and microexpression arousal intensity.

Main Results:

  • The DMETT significantly improved dynamic microexpression recognition ability, demonstrating good reliability and validity.
  • Microexpression recognition techniques (METT) proved effective for training dynamic microexpression recognition.
  • No significant gender differences were found in general dynamic microexpression recognition ability.
  • Females showed a small but significant advantage over males in dynamic microexpression recognition learning.

Conclusions:

  • The DMETT is an effective tool for enhancing dynamic microexpression recognition.
  • The DMETT shows potential as a future measurement tool for microexpression learning ability.
  • Dynamic microexpression training is feasible and beneficial, with nuances in gender-based learning patterns.