2021
DOI: 10.3389/fnhum.2021.685530
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Are You Able to Trust Me? Analysis of the Relationships Between Personality Traits and the Assessment of Attractiveness and Trust

Abstract: Behavioral and neuroimaging studies show that people trust and collaborate with others based on a quick assessment of the facial appearance. Based on the morphological characteristics of the face, i.e., features, shape, or color, it is possible to determine health, attractiveness, trust, and some personality traits. The study attempts to indicate the features influencing the perception of attractiveness and trust. In order to select individual factors, a model of backward stepwise logistic regression was used,… Show more

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Cited by 4 publications
(2 citation statements)
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“…), which suggests that salient and emotional stimuli are perceived to be more real (up to a point of reversal after which beliefs of fiction becomes used an emotion regulation strategy), we hypothesize a quadratic relationship between ATTRACTIVENESS AND REALITY 8 perceived realness and attractiveness: faces rated as highly attractive or unattractive will more likely be believed to be real. We expect a similar relationship with trustworthiness ratings given its well-established link with attractiveness (Bartosik et al, 2021;Garrido & Prada, 2017;Liefooghe et al, 2022;Little et al, 2011), and a positive relationship with familiarity (as more familiar faces would appear as more salient, self-relevant and anchored in reality). Additionally, we will further explore the link shared by dispositional traits, such as personality and attitude towards AI, with simulation monitoring tendencies.…”
Section: Artificially Generatedmentioning
confidence: 90%
“…), which suggests that salient and emotional stimuli are perceived to be more real (up to a point of reversal after which beliefs of fiction becomes used an emotion regulation strategy), we hypothesize a quadratic relationship between ATTRACTIVENESS AND REALITY 8 perceived realness and attractiveness: faces rated as highly attractive or unattractive will more likely be believed to be real. We expect a similar relationship with trustworthiness ratings given its well-established link with attractiveness (Bartosik et al, 2021;Garrido & Prada, 2017;Liefooghe et al, 2022;Little et al, 2011), and a positive relationship with familiarity (as more familiar faces would appear as more salient, self-relevant and anchored in reality). Additionally, we will further explore the link shared by dispositional traits, such as personality and attitude towards AI, with simulation monitoring tendencies.…”
Section: Artificially Generatedmentioning
confidence: 90%
“…This database includes stimuli of White, Black, and East Asian faces, acknowledging that their Asian stimulus did come from participants who identified as East Asian. Like the CFD, the MR2 database has been used to study various person perception related inquires, such as perceptions of trust (Bartosik et al, 2021) and racial identity (Cooley et al, 2018). The London Face Research Lab Database (DeBruine & Jones, 2017) and the NimStim Face Database (Tottenham et al, 2009) also provide high-quality photos of faces, with the NimStim Face Database providing a range of emotional expressions.…”
mentioning
confidence: 99%