The COVID-19 pandemic has made the world seem less predictable. Such crises can lead people to feel that others are a threat. Here, we show initial phase of in 2020 increased individuals' paranoia and their belief updating more erratic. A proactive lockdown people's capricious. However, state-mandated mask-wearing induced erratic behaviour. This was most evident states where adherence rules poor but rule following is typically common. Computational analyses participant behaviour suggested...

How individuals view the world is critical to understanding human behavior. Yet, almost all research within perception and judgment has drawn inferences from group-level behavior, with little work focused on how individual perceives their world. However, for complex judgments (e.g., trustworthiness), most of meaningful variance due factors specific individual. Here we showcase a data-driven reverse correlation method visualizing any perceptually-derived stereotype at level. We show that our...

Paranoia is the belief that harm intended by others. It may arise from selective pressures to infer and avoid social threats, particularly in ambiguous or changing circumstances. We propose uncertainty be sufficient elicit learning differences paranoid individuals, without threat. used reversal behavior computational modeling estimate updating across individuals with mental illness, online participants, rats chronically exposed methamphetamine, an elicitor of paranoia humans. associated a...

Significance We quickly and irresistibly form impressions of what other people are like based solely on how their faces look. These have real-life consequences ranging from hiring decisions to sentencing decisions. model visualize the perceptual bases facial in most comprehensive fashion date, producing photorealistic models 34 perceived social physical attributes (e.g., trustworthiness age). leverage demonstrate utility deep learning face evaluation, allowing for 1) generation an infinite...

Face stereotypes are prevalent, consequential, yet oftentimes inaccurate. How do false first impressions arise and persist despite counter-evidence? Building on the overgeneralization hypothesis, we propose a domain-general cognitive mechanism: insufficient statistical learning, or Insta-learn. This mechanism posits that humans quick learners but samplers. Humans extract regularities from very few exemplars in their immediate context prematurely decide to stop sampling, creating perpetuating...

Research in person and face perception has broadly focused on group-level consensus that individuals hold when making judgments of others (e.g., "X type looks trustworthy"). However, a growing body research demonstrates individual variation is larger than shared, stimulus-level for many social trait judgments. Despite this insight, little to date building explaining models perception. Studies methodologies have examined are limited what visualizations they can reliably produce either noisy...

Research shows that positive mood can serve to broaden the scope of attention at both perceptual and conceptual level (e.g., increasing size spatial attentional focus semantic access remote associates). We investigated whether this relaxation filters by affect reduces their selectivity for basic visual features. induced positive, neutral, or negative asked observers identify a target motion direction in series rapid random moving dot displays. Using reverse correlation method, we examined...

The diversity of human faces and the contexts in which they appear gives rise to an expansive stimulus space over people infer psychological traits (e.g., trustworthiness or alertness) other attributes age adiposity). Machine learning methods, particular deep neural networks, provide expressive feature representations face stimuli, but correspondence between these various attribute inferences is difficult determine because former are high-dimensional vectors produced via black-box...

How individuals view the world is critical to understanding human behavior. Yet, almost all research within perception and judgment has drawn inferences from group-level behavior, with little work focused on how individual perceives their world. However, for complex judgments (e.g., trustworthiness), most of meaningful variance due factors specific individual. Here we showcase a data-driven reverse correlation method visualizing any perceptually-derived stereotype at level. We show that our...

How is race encoded into memory when viewing faces? Here we demonstrate a novel systematic bias in which our memories of faces converge on certain prioritized regions underlying "face space," as they relate to perceived race. This convergence was made especially salient using new visual variant the method serial reproduction: "TeleFace." A single face briefly presented, with its selected from smooth continuum between White and Black (matched for mean luminance). The observer then reproduced...

Abstract The 2019 coronavirus (COVID-19) pandemic has made the world seem unpredictable. During such crises we can experience concerns that others might be against us, culminating perhaps in paranoid conspiracy theories. Here, investigate paranoia and belief updating an online sample (N=1,010) United States of America (U.S.A). We demonstrate increased individuals’ self-rated rendered their task-based more erratic. Local lockdown reopening policies, as well culture broadly, markedly...

Abstract Paranoia is the belief that harm intended by others. It may arise from selective pressures to infer and avoid social threats, particularly in ambiguous or changing circumstances. We propose uncertainty be sufficient elicit learning differences paranoid individuals, without threat. used reversal behaviour computational modelling estimate updating across individuals with mental illness, online participants, rats exposed chronic methamphetamine, an elicitor of paranoia humans....

Social impressions from faces have been studied in psychology for over 100 years. These are rapid, efficient, and consequential. Yet, disagreements about the content of face remain. Across two studies (N = 4,526), we develop a taxonomy spontaneous by applying novel interdisciplinary methods Artificial Intelligence text analysis to thousands free-response descriptions computer-generated faces. We identify impression dimensions, describe their coverage, prevalence, directionality,...

The environment is dynamic, but objects move in predictable and characteristic ways, whether a dancer motion, or bee buzzing around flight. Complicated sequences of movement are comprised simpler motion trajectory elements chained together. But how do we know where one ends another begins, much like parse words from continuous streams speech? As novel test statistical learning (Fiser & Aslin, 2002), going beyond prior work that focused on gesture processing biological (e.g., Roseberry et...

One of the most prominent trends in recent visual cognition research has been study ensemble representations, as phenomenon perceptual averaging: people are impressively accurate and efficient at extracting average properties stimuli, such size an array objects, or emotion a collection faces. Here we explored nature implications averaging context particular sort ubiquitous stimulus: graphs numerical data. The common way to graph data involves presenting values explicitly, heights bars bar...

The 2019 coronavirus (COVID-19) pandemic has made the world seem unpredictable. During such crises we can experience concerns that others might be against us, culminating perhaps in paranoid conspiracy theories. Here, investigate paranoia and belief updating an online sample (N=1,010) United States of America (U.S.A). We demonstrate increased individuals’ self-rated rendered their task-based more erratic. Local lockdown reopening policies, as well culture broadly, markedly influenced...

Great strides have been made in recent years understanding how we perceive faces terms of underlying "face spaces". Our work is focused on the relatively unexplored notion default regions these spaces, toward which our face representations may be attracted. Picture a person standing before you, asking for directions. Now consider: what did that look like? And where information come from? Here used novel instantiation method serial reproduction to explore effective 'default settings' space....