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Emotional appraisal processing of computer-generated facial expressions: an functional near-infrared spectroscopy
Tinghao Zhao1, Jiangtao Chen, Lan Wang
1CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.
Objective:
The current study aims to investigate whether computer generated (CG) expressions of emotion evoke similar emotional appraisal processing in the lateral orbitofrontal cortex (lOFC) compared to real human expressions, as well as how speech cues would influence the processing.
Methods:
Functional near-infrared spectroscopy was used to measure the neural activations in the prefrontal cortex during emotion recognition task. Thirty normal participants were asked to view videos of dynamic facial expressions and selected the emotions that were best matches with the expressions.
Results:
CG expressions evoked less activation in the lOFC comparing to real human expressions. Furthermore, speech cues increased the activation in the lOFC for CG expressions but not real expressions.
Conclusion:
Comparing to real expressions, CG expressions evoked less appraisal processing related to motivational values although this disadvantage can be compensated to some extent by presenting the expressions with speech cues.
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