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Deception detection and emotion recognition: Investigating F.A.C.E. software.

Drew A Curtis1

  • 1Department of Psychology and Sociology, Angelo State University, San Angelo, TX, USA.

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Summary
This summary is machine-generated.

Micro expression training software did not improve deception detection skills. However, it significantly enhanced emotion recognition, particularly for specific emotions like anger and fear.

Keywords:
anxietydeception detectionemotionemotion recognitionliesmicro expressions

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Area of Science:

  • Psychology
  • Psychotherapy Research
  • Nonverbal Communication

Background:

  • Deception detection in psychotherapy is a growing area of interest.
  • Micro expression training software is proposed as a tool to enhance emotion recognition and deception detection abilities.

Purpose of the Study:

  • To investigate the impact of micro expression training software on deception detection and emotion recognition.
  • To assess if anxiety levels influence deception detection or mediate emotion recognition.

Main Methods:

  • Recruited counseling psychology graduate and undergraduate students.
  • Randomly assigned participants to a training group (receiving micro expression training) or a control group.
  • Administered pre- and post-test measures for deception detection and emotion recognition.

Main Results:

  • No significant difference in deception detection was found between the training and control groups.
  • The training group showed significant improvements in recognizing contempt, anger, and fear.
  • Anxiety (state and trait) did not predict deception detection or mediate emotion recognition.
  • No significant differences were observed between graduate and undergraduate students.

Conclusions:

  • Micro expression training software (F.A.C.E.) was ineffective in enhancing deception detection.
  • The software effectively improved emotion recognition capabilities.
  • Findings suggest implications for training protocols, clinical practice, and future research in psychotherapy.