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将面部加工任务分开以提高其在现实世界中的预测价值:对 Ramon、Bobak 和 White(2019 年)的评论。

Breaking face processing tasks apart to improve their predictive value in the real world: A comment on Ramon, Bobak, and White (2019).

机构信息

School of Psychology, Victoria University of Wellington, New Zealand.

出版信息

Br J Psychol. 2019 Aug;110(3):483-485. doi: 10.1111/bjop.12391. Epub 2019 Mar 21.

DOI:10.1111/bjop.12391
PMID:30900243
Abstract

In this commentary, I will expand on three aspects suggested by Ramon et al. (2019, British Journal of Psychology, 110, 461) to improve the predictive value of laboratory-based tasks in real-world applications. There are potential benefits that may arise from three interrelated considerations, particularly in terms of predicting agents' susceptibility to errors in operational settings. The first is a proposal to conduct a detailed examination of performance on face processing tests rather than only analysing overall accuracy scores. The second involves considering non-face-related cognitive and meta-cognitive sub-processes involved in face processing tasks. The third highlights the contribution of superior recognisers in creating challenging tests that simulate difficult real-world situations.

摘要

在这篇评论中,我将扩展 Ramon 等人(2019,《英国心理学杂志》,110,461)提出的三个方面,以提高基于实验室的任务在实际应用中的预测价值。从三个相互关联的角度来看,这可能会带来一些潜在的好处,特别是在预测代理人在操作环境中犯错的倾向方面。第一个建议是对人脸处理测试的表现进行详细检查,而不仅仅是分析整体准确率得分。第二个涉及考虑与非人脸相关的认知和元认知子过程,这些过程涉及人脸处理任务。第三个则强调了优秀识别者在创建具有挑战性的测试以模拟困难的现实情况方面的贡献。

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Breaking face processing tasks apart to improve their predictive value in the real world: A comment on Ramon, Bobak, and White (2019).将面部加工任务分开以提高其在现实世界中的预测价值:对 Ramon、Bobak 和 White(2019 年)的评论。
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