Humans spontaneously attribute character traits to strangers based on their facial appearance. Although these 'first impressions' typically have no basis in reality, some …
From only a single spoken word, listeners can form a wealth of first impressions of a person's character traits and personality based on their voice. However, due to the substantial within …
G Pandey, V Zayas - British journal of psychology, 2021 - Wiley Online Library
There is ample evidence that attractive individuals, across diverse domains, are judged more favourably. But most research has focused on single/one‐shot decisions, where …
BE Wirth, D Wentura - Journal of Experimental Social Psychology, 2023 - Elsevier
Using an innovative variant of the response-priming paradigm, ten Brinke et al.(2014) seemingly found evidence for unconscious lie detection. In the present study, however, we …
J Tompkinson, M Mileva, D Watt… - Quarterly Journal of …, 2024 - journals.sagepub.com
What constitutes a “threatening tone of voice”? There is currently little research exploring how listeners infer threat, or the intention to cause harm, from speakers' voices. Here, we …
CM Coutts, CA Longmore, M Mileva - Journal of Experimental Social …, 2024 - Elsevier
The first impressions we form of unfamiliar others can often guide many important decisions such as whether someone is guilty of a crime or the severity of their sentence, even in the …
K Hillmer, J Kappesser, C Hermann - Plos one, 2021 - journals.plos.org
Background Social context such as the relationship between a person experiencing pain and a caregiver has been shown to affect the experience of pain, yet, results are not …
X Huang, Y Sun, R Tao, K Yan, E Zhang - International Journal of …, 2024 - Elsevier
Recent studies have shown that the processing of neutral facial expressions could be modulated by the valence and self-relevance of preceding verbal evaluations. However …
Trustworthy-looking faces are also perceived as more attractive, but are there other meaningful cues that contribute to perceived trustworthiness? Using data-driven models, we …