Open laptops, open minds: Consensus and accuracy in big five personality perception from laptop stickers

Campbell, Jessica T.; Turner, Imani N.; Webster, Gregory D.

doi:10.1016/j.jrp.2021.104186

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…Third, this work has implications for perceptual accuracy because both men and women were significantly accurate in the self-ratings of their own physical attractiveness based on others' observations of the same (even after controlling for their partner's self-reported physical attractiveness). Indeed, people may be as accurate in their self-views of physical attractiveness as they are in accurately gauging others' personality traits (e.g., Campbell et al, 2022;Gosling et al, 2002).…”

Section: Methodological and Theoretical Implicationsmentioning

confidence: 99%

“…We fit an APIM to the six meta-analytic weighted-mean correlations, which regressed men's and women's observed physical attractiveness on their own and their partner's self-reported physical attractiveness. 7 Although we explore alternative models below, an APIM is consistent with person-perception lens models in which a criterion (observed physical attractiveness) is regressed onto a perception of the same construct (self-reported physical attractiveness; e.g., Campbell et al, 2022;Gosling et al, 2002).…”

Section: Actor-partner Interdependence Modelmentioning

confidence: 99%

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Dyadic Secondary Meta-Analysis: Attractiveness in Mixed-Sex Couples

Webster¹,

Li²,

Park³

et al. 2023

Preprint

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Do people in opposite-sex romantic relationships tend to have similar levels of physical attractiveness, as reflected in both their self-reports and observations made by others? How accurate are people at judging their own physical attractiveness? Do people who perceive themselves as physically attractive form romantic relationships with partners who are objectively similarly attractive? We sought to answer these questions by performing a dyadic secondary meta-analysis of correlations presented in a prior meta-analysis on physical attractiveness (Feingold, 1988), while using advanced multivariate (SEM-based) meta-analytic approaches to estimate a mean correlation matrix (k = 27 samples, N = 1,295 couples) and fit two dyadic models to it: actor–partner interdependence model (APIM) and common fate model (CFM). An APIM, in which we regressed men’s and women’s third-party observed physical attractiveness onto men’s and women’s self-reports of the same, revealed significantly positive actor and partner effects for both men and women. A CFM showed a significant positive association between latent self-reported and latent observed physical attractiveness, suggesting a strong couple-level effect (controlling for individual-level variance). Between-sample differences in relationship duration (log months) marginally (but not significantly) moderated the CFM’s latent association and both the actor and partner effects relating to men’s self-reported physical attractiveness: These paths were stronger (more positive) for couples who had been in relationships longer. We discuss methodological applications for our dyadic meta-analytic approach, and theoretical implications of our findings for assortative mating and interpersonal attraction.

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Section: Methodological and Theoretical Implicationsmentioning

confidence: 99%

Section: Actor-partner Interdependence Modelmentioning

confidence: 99%

Dyadic Secondary Meta-Analysis: Attractiveness in Mixed-Sex Couples

Webster¹,

Li²,

Park³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Research has shown a connection between self-reported personality and photos based on different photographs, such as standard photographs and spontaneous photographs (e.g., Naumann et al, 2009 ; Nestler et al, 2012 ; Cooper et al, 2020 ; Campbell et al, 2022 ). For example, Naumann et al (2009) coded the participants’ spontaneous photographs and found that extraversion was positively associated with smiling.…”

Section: Background Researchmentioning

confidence: 99%

How to know who you are through your short video selfies?—Capturing personality via short video selfies

Zhang

Xie²

2023

Front. Psychol.

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The extant literature has accumulated enormous knowledge on personality prediction from digital records on social networking sites (e.g., photo selfies). However, little is known about how short video selfies reflect their owner’s personality and how people judge others’ personalities from short video selfies. Taking short video selfies is very popular today; many people are willing to share their short video selfies with others. Based on the lens model theory, it is expected that one’s personality is associated with short video selfies. By analyzing 177 Chinese TikTok (Douyin in China) users’ short video selfies and their Big Five personalities, it showed that specific cues in short video selfies related to agreeableness, conscientiousness, neuroticism, and openness. But only extraversion could be predicted by short video selfies accurately. This study is the first to reveal personality-related cues in short video selfies and has practical implications for both short video platforms and their users.

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Interpersonal Perceptual Tendencies and Adjustment in Chinese Adolescents: Testing the Mediating Role of Peer Relationship

Sun,

Wang

2024

J. Youth Adolescence

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Open laptops, open minds: Consensus and accuracy in big five personality perception from laptop stickers

Cited by 5 publications

References 26 publications

Dyadic Secondary Meta-Analysis: Attractiveness in Mixed-Sex Couples

Dyadic Secondary Meta-Analysis: Attractiveness in Mixed-Sex Couples

How to know who you are through your short video selfies?—Capturing personality via short video selfies

Interpersonal Perceptual Tendencies and Adjustment in Chinese Adolescents: Testing the Mediating Role of Peer Relationship

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