人脸语境整合与可信度评估

IF 12.7 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

ACS Central Science Pub Date : 2024-02-13 DOI:10.1080/10463283.2024.2315915

Marco Brambilla, Simone Mattavelli, Matteo Masi

引用次数: 0

摘要

基于面部特征的可信度判断主要是通过单独展示人脸来研究的。然而，现实生活中的情境往往涉及情境线索。在此，我们回顾了...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Face–context integration and trustworthiness evaluation

Judgements of trustworthiness based on facial features have mainly been investigated by presenting faces in isolation. However, real-life situations often involve contextual cues. Here, we review o...

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来源期刊

ACS Central Science Chemical Engineering-General Chemical Engineering

CiteScore

25.50

自引率

0.50%

发文量

194

审稿时长

10 weeks

期刊介绍： ACS Central Science publishes significant primary reports on research in chemistry and allied fields where chemical approaches are pivotal. As the first fully open-access journal by the American Chemical Society, it covers compelling and important contributions to the broad chemistry and scientific community. "Central science," a term popularized nearly 40 years ago, emphasizes chemistry's central role in connecting physical and life sciences, and fundamental sciences with applied disciplines like medicine and engineering. The journal focuses on exceptional quality articles, addressing advances in fundamental chemistry and interdisciplinary research.