Frontiers in Psychology | |
Automated facial coding software outperforms people in recognizing neutral faces as neutral from standardized datasets | |
Peter Lewinski1  | |
关键词: non-verbal communication; facial expression; face recognition; neutral face; automated facial coding; | |
DOI : 10.3389/fpsyg.2015.01386 | |
学科分类:心理学(综合) | |
来源: Frontiers | |
【 摘 要 】
Little is known about people’s accuracy of recognizing neutral faces as neutral. In this paper, I demonstrate the importance of knowing how well people recognize neutral faces. I contrasted human recognition scores of 100 typical, neutral front-up facial images with scores of an arguably objective judge – automated facial coding (AFC) software. I hypothesized that the software would outperform humans in recognizing neutral faces because of the inherently objective nature of computer algorithms. Results confirmed this hypothesis. I provided the first-ever evidence that computer software (90%) was more accurate in recognizing neutral faces than people were (59%). I posited two theoretical mechanisms, i.e., smile-as-a-baseline and false recognition of emotion, as possible explanations for my findings.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO201904028527635ZK.pdf | 656KB | download |