🚨SECOND preprint out from my lab! Cues driving naturalistic trait impressions are sparse🤯 shorturl.at/aycfE Ambitious work with my 1st-yr grad @ruoying_zheng🤩 We quantified comprehensive cues using computational tools🤖 We identified WHAT cues people use 👇& WHY🧵
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Much work has studied cues used for impressions, but used artificial stimuli It may distort the relations between cues & the natural way people form impressions We showed people naturalistic images and quantify a comprehensive set of cues in context based on prior theories
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In pre-registered Study 1 with U.S. representative samples we found that, with rich information, the cues predicting impressions of various traits were sparse although all the cues we examined here were proposed and demonstrated by prior research to be important to impressions

Oct 24, 2024 · 9:06 PM UTC

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We showed that predictive cues carried unique information that other cues cannot explain Predictive cues also carried info congruent with other cues Suggesting that cues in naturalistic contexts may be highly redundant and only those convey unique info worth our attention👀🧠
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Many cues proposed by prior theories but did not directly predict impressions may play a role through interacting with predictive cues The complex interactions suggest that an unpredictive cue may influence the degree to which people use the predictive cues to form impressions
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Given the complex shared information and interactions between cues in naturalistic contexts in pre-registered Study 2, we manipulate one cue at a time in the naturalistic images using novel AI tools🤖 We confirm that the predictions were indeed driven by causal relations
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Together, our findings suggest that the mind may evolve to utilize the naturalistic relations between cues🧠 to decide what information to attend to👀 so that the process of forming first impression in the complex social world with immense information becomes less effortful🤯
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