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673 result(s) for "Freeman, Jonathan"
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Marathon
\"Violence strikes the heart of Duluth when a bomb goes off at a marathon, bringing the FBI to Detective Jonathan Stride's city. Was it terrorism, or something more personal?\"-- Provided by publisher.
Doing Psychological Science by Hand
Over the past decade, mouse tracking in choice tasks has become a popular method across psychological science. This method exploits hand movements as a measure of multiple response activations that can be tracked continuously over hundreds of milliseconds. Whereas early mouse-tracking research focused on specific debates, researchers have realized that the methodology has far broader theoretical value. This more recent work demonstrates that mouse tracking is a widely applicable measure across the field, capable of exposing the microstructure of real-time decisions, including their component processes and millisecond-resolution time course, in ways that inform theory. In this article, recent advances in the mouse-tracking approach are described, and comparisons with the gold standard measure of reaction time and other temporally sensitive methodologies are provided. Future directions, including mapping to neural representations with brain imaging and ways to improve our theoretical understanding of mouse-tracking methodology, are discussed.
Wild target
\" ... Rose [is] a free-spirited thief who finds herself in the crosshairs of a world-class assassin named Victor ... But when Victor spares Rose's life, the lonely-hearted hitman sets off an outrageous chain of events that turn both their worlds upside down. Joined by a gun-toting apprentice ..., the unlikely trio teams up to thwart the murderous intentions of Victor's unhappy client\"--Container.
MouseTracker: Software for studying real-time mental processing using a computer mouse-tracking method
In the present article, we present a software package, MouseTracker, that allows researchers to use a computer mouse-tracking method for assessing real-time processing in psychological tasks. By recording the streaming x -, y -coordinates of the computer mouse while participants move the mouse into one of multiple response alternatives, motor dynamics of the hand can reveal the time course of mental processes. MouseTracker provides researchers with fine-grained information about the real-time evolution of participant responses by sampling 60–75 times/sec the online competition between multiple response alternatives. MouseTracker allows researchers to develop and run experiments and subsequently analyze mouse trajectories in a user-interactive, graphics-based environment. Experiments may incorporate images, letter strings, and sounds. Mouse trajectories can be processed, averaged, visualized, and explored, and measures of spatial attraction/curvature, complexity, velocity, and acceleration can be computed. We describe the software and the method, and we provide details on mouse trajectory analysis. We validate the software by demonstrating the accuracy and reliability of its trajectory and reaction time data. The latest version of MouseTracker is freely available at http://mousetracker.jbfreeman.net.
Neural pattern similarity reveals the inherent intersection of social categories
By combining neuroimaging with an implicit behavioral measure (mouse-tracking), the authors demonstrate that stereotypes can alter the brain's visual representation of a face's gender, race, and emotion. Perceptions of social categories were biased by a subject's stereotypical associations, and this bias correlated with neural representations of those categories. We provide evidence that neural representations of ostensibly unrelated social categories become bound together by their overlapping stereotype associations. While viewing faces, multi-voxel representations of gender, race, and emotion categories in the fusiform and orbitofrontal cortices were stereotypically biased and correlated with subjective perceptions. The findings suggest that social-conceptual knowledge can systematically alter the representational structure of social categories at multiple levels of cortical processing, reflecting bias in visual perceptions.
Assessing bimodality to detect the presence of a dual cognitive process
Researchers have long sought to distinguish between single-process and dual-process cognitive phenomena, using responses such as reaction times and, more recently, hand movements. Analysis of a response distribution’s modality has been crucial in detecting the presence of dual processes, because they tend to introduce bimodal features. Rarely, however, have bimodality measures been systematically evaluated. We carried out tests of readily available bimodality measures that any researcher may easily employ: the bimodality coefficient (BC), Hartigan’s dip statistic (HDS), and the difference in Akaike’s information criterion between one-component and two-component distribution models (AIC diff ). We simulated distributions containing two response populations and examined the influences of (1) the distances between populations, (2) proportions of responses, (3) the amount of positive skew present, and (4) sample size. Distance always had a stronger effect than did proportion, and the effects of proportion greatly differed across the measures. Skew biased the measures by increasing bimodality detection, in some cases leading to anomalous interactive effects. BC and HDS were generally convergent, but a number of important discrepancies were found. AIC diff was extremely sensitive to bimodality and identified nearly all distributions as bimodal. However, all measures served to detect the presence of bimodality in comparison to unimodal simulations. We provide a validation with experimental data, discuss methodological and theoretical implications, and make recommendations regarding the choice of analysis.
The conceptual structure of face impressions
Humans seamlessly infer the expanse of personality traits from others’ facial appearance. These facial impressions are highly intercor-related within a structure known as “face trait space.” Research has extensively documented the facial features that underlie face impressions, thus outlining a bottom-up fixed architecture of face impressions, which cannot account for important ways impressions vary across perceivers. Classic theory in impression formation emphasized that perceivers use their lay conceptual beliefs about how personality traits correlate to form initial trait impressions, for instance, where trustworthiness of a target may inform impressions of their intelligence to the extent one believes the two traits are related. This considered, we explore the possibility that this lay “conceptual trait space”—how perceivers believe personality traits correlate in others—plays a role in face impressions, tethering face impressions to one another, thus shaping face trait space. In study 1, we found that conceptual and face trait space explain considerable variance in each other. In study 2, we found that participants with stronger conceptual associations between two traits judged those traits more similarly in faces. Importantly, using a face image classification task, we found in study 3 that participants with stronger conceptual associations between two traits used more similar facial features to make those two face trait impressions. Together, these findings suggest lay beliefs of how personality traits correlate may underlie trait impressions, and thus face trait space. This implies face impressions are not only derived bottom up from facial features, but also shaped by our conceptual beliefs.
Looking the Part: Social Status Cues Shape Race Perception
It is commonly believed that race is perceived through another's facial features, such as skin color. In the present research, we demonstrate that cues to social status that often surround a face systematically change the perception of its race. Participants categorized the race of faces that varied along White-Black morph continua and that were presented with high-status or low-status attire. Low-status attire increased the likelihood of categorization as Black, whereas high-status attire increased the likelihood of categorization as White; and this influence grew stronger as race became more ambiguous (Experiment 1). When faces with high-status attire were categorized as Black or faces with low-status attire were categorized as White, participants' hand movements nevertheless revealed a simultaneous attraction to select the other race-category response (stereotypically tied to the status cue) before arriving at a final categorization. Further, this attraction effect grew as race became more ambiguous (Experiment 2). Computational simulations then demonstrated that these effects may be accounted for by a neurally plausible person categorization system, in which contextual cues come to trigger stereotypes that in turn influence race perception. Together, the findings show how stereotypes interact with physical cues to shape person categorization, and suggest that social and contextual factors guide the perception of race.
The neural representation of facial-emotion categories reflects conceptual structure
Humans reliably categorize configurations of facial actions into specific emotion categories, leading some to argue that this process is invariant between individuals and cultures. However, growing behavioral evidence suggests that factors such as emotion-concept knowledge may shape the way emotions are visually perceived, leading to variability—rather than universality—in facial-emotion perception. Understanding variability in emotion perception is only emerging, and the neural basis of any impact from the structure of emotion-concept knowledge remains unknown. In a neuroimaging study, we used a representational similarity analysis (RSA) approach to measure the correspondence between the conceptual, perceptual, and neural representational structures of the six emotion categories Anger, Disgust, Fear, Happiness, Sadness, and Surprise. We found that subjects exhibited individual differences in their conceptual structure of emotions, which predicted their own unique perceptual structure. When viewing faces, the representational structure of multivoxel patterns in the right fusiform gyrus was significantly predicted by a subject’s unique conceptual structure, even when controlling for potential physical similarity in the faces themselves. Finally, cross-cultural differences in emotion perception were also observed, which could be explained by individual differences in conceptual structure. Our results suggest that the representational structure of emotion expressions in visual face-processing regions may be shaped by idiosyncratic conceptual understanding of emotion categories.
Racial stereotypes bias the neural representation of objects towards perceived weapons
Racial stereotypes have been shown to bias the identification of innocuous objects, making objects like wallets or tools more likely to be identified as weapons when encountered in the presence of Black individuals. One mechanism that may contribute to these biased identifications is a transient perceptual distortion driven by racial stereotypes. Here we provide neuroimaging evidence that a bias in visual representation due to automatically activated racial stereotypes may be a mechanism underlying this phenomenon. During fMRI, tools presented after Black face primes induced neural response patterns that exhibited a biased similarity to independent gun images in object-discriminative regions of the ventral temporal cortex involved in the visual perception of objects. Moreover, these neural representational shifts predicted the magnitude of participants’ racial bias, as reflected by differences in response times during weapon identification due to Black versus White face primes. Together, these findings suggest that stereotypes can shape the visual representation of socially-relevant objects in line with preconceived notions, thereby contributing to racially biased responding. Due to racial stereotypes, innocuous objects (e.g. a tool) can be misperceived as a gun when presented immediately after a Black individual’s face. Here, the authors examine the neural basis of this effect, showing that neural response patterns to tools in visual perception regions become more similar to those typically elicited by guns, contributing to racially biased responding.