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A web-based method for rating facial attractiveness.

机译:一种基于Web的面部吸引力评级方法。

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摘要

OBJECTIVES/HYPOTHESIS: To determine if facial attractiveness scores from a novel Internet-based facial attractiveness rating method correlate with those from the traditional focus group rating method, and whether this method can be an alternative for rating and evaluating facial attractiveness. STUDY DESIGN: Basic research study. METHODS: Eighty facial portraits were posted on a commercial Internet-based facial rating website to obtain facial attractiveness scores. These scores were correlated and compared with traditional focus group scores. RESULTS: In 21 days an average sample size of 857 raters were recruited and the attractiveness scores reached a stable mean on the Web. There was a strong correlation (0.90) and attractiveness score quartile match between the Internet-based and traditional focus group scores, with the most attractive and unattractive faces having the highest correlation and quartile match. The inter-rater variability of the Internet-based method was low (P = .82). CONCLUSIONS: The Internet-based method can be an effective alternative to the traditional live focus group method of evaluating facial attractiveness. It also has five main advantages: 1) profoundly increases rater count; 2) increases rate of data accrual and analysis; 3) results are reproducible; 4) eliminates logistical and monetary obstacles; and 5) enables the experimenter to sweep broad demographics, acquire background data from raters, and locate raters with specific expertise.
机译:目的/假设:要确定基于互联网的新型面部吸引力评分方法的面部吸引力评分是否与传统的焦点小组评分方法的面部吸引力评分相关联,以及该方法是否可以替代用于评估和评估面部吸引力的方法。研究设计:基础研究。方法:将80张面部肖像发布在基于Internet的商业面部评级网站上,以获得面部吸引力评分。将这些分数进行关联,并与传统的焦点小组分数进行比较。结果:在21天里,平均有857名评估者被纳入样本,吸引力得分在网络上达到稳定的平均值。基于互联网和传统的焦点小组得分之间的相关性和吸引力得分四分位数之间的匹配度很强(0.90),其中最具吸引力和吸引力的面孔的相关性和四分位数之间的匹配度最高。基于Internet的方法的评分者间差异很小(P = .82)。结论:基于Internet的方法可以替代传统的实时焦点小组方法来评估面部吸引力。它还具有五个主要优点:1)大大增加评估者数量; 2)提高数据获取和分析的速度; 3)结果是可重现的; 4)消除后勤和金钱上的障碍;和5)使实验者能够扫描广泛的人口统计信息,从评估者那里获取背景数据,并找到具有特定专业知识的评估者。

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