Physical Attractiveness Stereotype Research Articles

Expectations about motion direction affect perception and anticipatory smooth pursuit differently.

Smooth pursuit eye movements and visual motion perception rely on the integration of current sensory signals with past experience. Experience shapes our expectation of current visual events and can drive eye movement responses made in anticipation of a target, such as anticipatory pursuit. Previous research revealed consistent effects of expectation on anticipatory pursuit-eye movements follow the expected target direction or speed-and contrasting effects on motion perception, but most studies considered either eye movement or perceptual responses. The current study directly compared effects of direction expectation on perception and anticipatory pursuit within the same direction discrimination task to investigate whether both types of responses are affected similarly or differently. Observers (n = 10) viewed high-coherence random-dot kinematograms (RDKs) moving rightward and leftward with a probability of 50%, 70%, or 90% in a given block of trials to build up an expectation of motion direction. They were asked to judge motion direction of interleaved low-coherence RDKs (0%-15%). Perceptual judgements were compared with changes in anticipatory pursuit eye movements as a function of probability. Results show that anticipatory pursuit velocity scaled with probability and followed direction expectation (attraction bias), whereas perceptual judgments were biased opposite to direction expectation (repulsion bias). Control experiments suggest that the repulsion bias in perception was not caused by retinal slip induced by anticipatory pursuit, or by motion adaptation. We conclude that direction expectation can be processed differently for perception and anticipatory pursuit.NEW & NOTEWORTHY We show that expectations about motion direction that are based on long-term trial history affect perception and anticipatory pursuit differently. Whereas anticipatory pursuit direction was coherent with the expected motion direction (attraction bias), perception was biased opposite to the expected direction (repulsion bias). These opposite biases potentially reveal different ways in which perception and action utilize prior information and support the idea of different information processing for perception and pursuit.

Physical Attractiveness, Halo Effects, and Social Joining

AbstractObjective: Scholarship in psychology on halo effects demonstrates the powerful effects attractiveness has on social interactions. Here, we consider the influence of physical attractiveness on the development of social capital through social joining. With the unavoidable nature of attractiveness biases, we argue that more physically attractive individuals should be increasingly likely to join social organizations, which have been shown to be important parts of broader social engagement and the growth of social capital.Methods: Utilizing the Wisconsin Longitudinal Study and an original survey experiment, we find that individuals who are rated as more attractive are consistently more likely to participate in organizations, particularly early in adult life. These effects persist when controlling for socioeconomic variables like income and education.Results: Our experimental results bolster these findings, showing that more attractive individuals are more likely to be invited to join both organizations and informal gatherings.Conclusions: These findings suggest a further mechanism through which the development of social capital differs between individuals in society.

The influence of stimulus uncertainty on attractive and repulsive perceptual biases

The influence of stimulus uncertainty on attractive and repulsive perceptual biases

Role of dimensions in first passage of a diffusing particle under stochastic resetting and attractive bias.

Recent studies in one dimension have revealed that the temporal advantage rendered by stochastic resetting to diffusing particles in attaining first passage may be annulled by a sufficiently strong attractive potential. We extend the results to higher dimensions. For a diffusing particle in an attractive potential V(R)=kR^{n}, in general d dimensions, we study the critical strength k=k_{c} above which resetting becomes disadvantageous. The point of continuous transition may be exactly found even in cases where the problem with resetting is not solvable, provided the first two moments of the problem without resetting are known. We find the dimensionless critical strength κ_{c,n}(k_{c}) exactly when d/n and 2/n take positive integral values. Also for the limiting case of a box potential (representing n→∞), and the special case of a logarithmic potential kln(R/a), we find the corresponding transition points κ_{c,∞} and κ_{c,l} exactly for any dimension d. The asymptotic forms of the critical strengths at large dimensions d are interesting. We show that for the power law potential, for any n∈(0,∞), the dimensionless critical strength κ_{c,n}∼d^{1/n} at large d. For the box potential, asymptotically, κ_{c,∞}∼(1-ln(d/2)/d), while for the logarithmic potential, κ_{c,l}∼d.

Pay for beauty? A contingent perspective of CEO facial attractiveness on CEO compensation

AbstractThe physical attractiveness stereotype maintains that what is beautiful is good. Does this also apply to Chief Executive Officers (CEOs) and influence their compensation? There are numerous debates on CEO compensation, and scholars have long been interested in understanding the factors that impact CEO compensation. Of the empirical studies investigating the antecedents of CEO compensation, little attention has been paid to CEO facial attractiveness. Drawing mainly from the physical attractiveness stereotype, we argue that CEO attractiveness increases CEO compensation, and the effect becomes stronger when the CEO has worked as a CEO in other firms, but weaker when the CEO is female or works for a high‐technology firm. We tested our hypotheses by coding facial attractiveness for all CEOs in S&P 500 firms over 10 years (861 CEOs and 4,395 firm‐year observations). Results partly support our predictions and show that the effect of CEO facial attractiveness on compensation is not only robust but also economically significant. Moderating effects were found using prior CEO experience and high tech industry as moderators. However, we found no moderating effect of CEO gender on the relationship between CEO facial attractiveness and compensation. This study suggests that CEO compensation is not an entirely rational process, and compensation committees appear to be biased in favor of beautiful individuals.

Using the Implicit Relational Assessment Procedure (IRAP) to Examine Implicit Beauty Bias in the Context of Employability

Attractiveness bias has been well-documented in social domains, however, an investigation into the attractiveness-bias effect on employability has not been conducted using implicit measures. In Study 1 (N = 24) the Implicit Relational Assessment Procedure (IRAP) and a number of explicit measures (e.g., self-report questionnaires) were used to investigate the attractiveness-bias effect on employability using stimuli of high and low attractiveness. Results from Study 1 indicated that there was a significant bias in the direction of attractive-employable on explicit and implicit measures. In Study 2, (N = 52) these measures were used to investigate the attractiveness-bias effect on employability using stimuli of high and medium attractiveness. Results from Study 2 indicated that there was a significant bias in the direction of attractive-employable on explicit measures and a significant bias in the direction of attractive-employable and medium-attractive-unemployable on implicit measures. There was no effect of participant gender on D-scores for either study. Findings are discussed in relation to previous research and implications for the use of implicit measurement to measure attractiveness bias in the domain of employability.

Nonlinear mechanism of pull-in and snap-through in microbeam due to asymmetric bias voltages

Pull-in and snap-through are two representative bifurcation phenomena in electrically actuated microcomponents, based on which various microdevices are designed and applied in many sensing and actuating fields. In this paper, the nonlinear mechanisms of pull-in and snap-through in a two-electrode actuated microbeam due to asymmetric bias voltages are qualitatively identified. With the considerations of midplane stretching of clamped–clamped microbeam and nonlinear electrostatic force, a continuous dynamic equation of motion is introduced after which a generalized one-degree-of-freedom (1-DOF) model derived using the differential quadrature method is deduced. By the application of the singularity theory on the static equation, transient sets are theoretically obtained which separate two-parameter space of cubic stiffness and DC voltage into seven regions. Associated bifurcation diagrams show that initially straight microbeam can exhibit snap-through motion as well as pull-in behavior when loading proper bias voltages on two electrodes. Besides, detailed division on snap-through region is numerically done and the snap-through direction is discussed and then verified. In what follows, primary resonant frequency closely related to the static solution is examined which show various attractive scenarios versus bias voltage ratio. Moreover, the method of multiple scales is utilized to derive the primary resonant response for small vibration estimation. Combined with theoretical and numerical results, dynamic snap-through motion is observed which implies that dynamic saddle-node bifurcation and interwell jumping due to energy enhancement can both increase the possibility of dynamic snap-through. During dynamic snap-through procedure, microbeam may exhibit cross-well transient chaos.

Build-up of serial dependence in color working memory

Serial dependence, how immediately preceding experiences bias our current estimations, has been described experimentally during delayed-estimation of many different visual features, with subjects tending to make estimates biased towards previous ones. It has been proposed that these attractive biases help perception stabilization in the face of correlated natural scene statistics, although this remains mostly theoretical. Color, which is strongly correlated in natural scenes, has never been studied with regard to its serial dependencies. Here, we found significant serial dependence in 7 out of 8 datasets with behavioral data of humans (total n = 760) performing delayed-estimation of color with uncorrelated sequential stimuli. Moreover, serial dependence strength built up through the experimental session, suggesting metaplastic mechanisms operating at a slower time scale than previously proposed (e.g. short-term synaptic facilitation). Because, in contrast with natural scenes, stimuli were temporally uncorrelated, this build-up casts doubt on serial dependencies being an ongoing adaptation to the stable statistics of the environment.

A Bayesian and efficient observer model explains concurrent attractive and repulsive history biases in visual perception.

Human perceptual decisions can be repelled away from (repulsive adaptation) or attracted towards recent visual experience (attractive serial dependence). It is currently unclear whether and how these repulsive and attractive biases interact during visual processing and what computational principles underlie these history dependencies. Here we disentangle repulsive and attractive biases by exploring their respective timescales. We find that perceptual decisions are concurrently attracted towards the short-term perceptual history and repelled from stimuli experienced up to minutes into the past. The temporal pattern of short-term attraction and long-term repulsion cannot be captured by an ideal Bayesian observer model alone. Instead, it is well captured by an ideal observer model with efficient encoding and Bayesian decoding of visual information in a slowly changing environment. Concurrent attractive and repulsive history biases in perceptual decisions may thus be the consequence of the need for visual processing to simultaneously satisfy constraints of efficiency and stability.

Can beauty be-er ignored? A preregistered implicit examination of the beer goggles effect.

The beer goggles effect refers to heightened perceptions of attractiveness resulting from intoxication. However, research in this area has produced mixed findings and has largely been reliant on self-report measures of perceived attractiveness. This study aimed to utilize an implicit measure to assess the beer goggles phenomenon in a preregistered study. One hundred twenty-nine heterosexual U.K. university students were recruited (74 female, Mage = 24.12 years, SDage = 9.09 years) in real-life drinking environments (classified post hoc as sober or lightly intoxicated based on Blood Alcohol Concentration [BAC]) to conduct a spatial cuing paradigm that measured the effect of distracting stimuli on task performance. Participants were asked to determine the orientation of a letter while ignoring any incidentally presented (un)attractive facial stimuli. Sober participants appeared to find attractive faces equally distracting, regardless of whether they were being cued to look toward or away from the face-a traditional attractiveness bias. Intoxicated participants, on the other hand, appeared to find attractive and unattractive faces equally distracting. Findings highlight the possibility that the beer goggles phenomenon results from a leveling of the playing field whereby attentional biases toward attractive faces are dampened as a result of light intoxication. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Attractive serial dependence between memorized stimuli

Attractive serial dependence – a bias whereby the current stimulus appears more similar to the previous ones – is thought to reflect a stability mechanism integrating past and current visual signals. Prior work suggests that serial dependence originates from both perceptual and cognitive mechanisms, but the conditions under which this attractive bias occurs remain to be studied. In particular, whether serial dependence can occur solely from memory interference remains unclear. Here, we address this question by testing the hypothesis that if memory interference is sufficient to generate serial dependence, it should occur within memorized stimuli irrespective of the order of stimulus presentation. In Exp. 1, we used a numerosity estimation task in which participants estimated the number of dots of a briefly flashing dot-array comprising 8 to 32 dots. The pattern of serial dependence was found in that numerical estimates of a dot array were biased towards the numerosity of the preceding dot array. In Exp. 2, we presented a series of three such dot arrays, and cued the one to be estimated only after the whole series was presented, making the participants first form a memorized representation of the three dot arrays. The results show a pattern of attractive biases both in the forward (the stimulus presented before biases the one presented after) and the backward (the stimulus presented after biases the one presented before) directions. Overall, our results demonstrate that serial dependence can be induced solely from memory interference and that this interference can operate irrespective of the chronological order of the stimulus presentation.

Neural Dynamics of Serial Dependence in Numerosity Perception.

Serial dependence-an attractive perceptual bias whereby a current stimulus is perceived to be similar to previously seen ones-is thought to represent the process that facilitates the stability and continuity of visual perception. Recent results demonstrate a neural signature of serial dependence in numerosity perception, emerging very early in the time course during perceptual processing. However, whether such a perceptual signature is retained after the initial processing remains unknown. Here, we address this question by investigating the neural dynamics of serial dependence using a recently developed technique that allowed a reactivation of hidden memory states. Participants performed a numerosity discrimination task during EEG recording, with task-relevant dot array stimuli preceded by a task-irrelevant stimulus inducing serial dependence. Importantly, the neural network storing the representation of the numerosity stimulus was perturbed (or pinged) so that the hidden states of that representation can be explicitly quantified. The results first show that a neural signature of serial dependence emerges early in the brain signals, starting soon after stimulus onset. Critical to the central question, the pings at a later latency could successfully reactivate the biased representation of the initial stimulus carrying the signature of serial dependence. These results provide one of the first pieces of empirical evidence that the biased neural representation of a stimulus initially induced by serial dependence is preserved throughout a relatively long period.

The role of feature-based attention in visual serial dependence.

Perceptual decisions about current sensory input are biased toward input of the recent past-a phenomenon termed serial dependence. Serial dependence may serve to stabilize neural representations in the face of external and internal noise. However, it is unclear under which circumstances previous input attracts subsequent perceptual decisions, and thus whether serial dependence reflects a broad smoothing or selective stabilization operation. Here we investigated whether focusing attention on particular features of the previous stimulus modulates serial dependence. We found an attractive bias in orientation estimations when previous and current stimuli had similar orientations, and a repulsive bias when they had dissimilar orientations. The attractive bias was markedly reduced-to less than half of its original magnitude-when observers attended to the size, rather than the orientation, of the previous stimulus. Conversely, the repulsive bias for stimuli with large orientation differences was not modulated by feature-based attention. This suggests separate sources of these positive and negative perceptual biases.

Was, M., Foody, M., & Murphy, C. (2019). Using the Implicit Relational Assessment Procedure (IRAP) to investigate attractiveness bias in the domain of employability.

Was, M., Foody, M., & Murphy, C. (2019). Using the Implicit Relational Assessment Procedure (IRAP) to investigate attractiveness bias in the domain of employability.

Bald and Bad?

. According to (a) the beauty ideal of a full head of hair and (b) the physical attractiveness stereotype (PAS; “what is beautiful is good”), bald men should appear less attractive than nonbald men, not only physically but also socially. To explain inconsistent results on this prediction in previous research, we suggest two antagonistic processes: the automatic activation of the PAS at the implicit level and its suppression at the explicit level, the latter process selectively triggered by individuating information about the target person. In line with this account, we only found negative social attractiveness ratings for bald men by same-aged women when individuating target information was lacking (Experiment 1). In contrast, irrespective of whether individuating information was available or not, we reliably found evidence for the PAS in different implicit paradigms (the implicit association test in Experiment 2 and a source monitoring task in Experiment 3). We conclude that individuating information about bald men suppresses PAS application, but not PAS activation.

What drives female objectification? An investigation of appearance-based interpersonal perceptions and the objectification of women.

Previous research finds that both men and women perceive sexualized women as lacking in certain human qualities such as mental capacity and moral status. The mechanism underlying this effect, however, is unclear. The present two studies test how appearance-based judgements affect the degree to which a broad sample of women are objectified. In Study 1 (N = 279), full-body images of women wearing different clothing outfits were rated by male and female participants on perceived attractiveness, sexual intent and age. In Study 2, male and female participants (N = 1,695) viewed these same images from Study 1 and rated them on two dimensions of objectification (agency and patiency). We analyzed associations between these dimensions of objectification and the averaged appearance-based perceptions from Study 1. We find that women perceived as more open to casual sex are attributed less mental capacity and less moral status. We also find that participants tend to associate attractiveness with greater mental and moral status in women, but we find only limited evidence that perceived age influences objectification. Our findings suggest that although positive attractiveness biases may mitigate the amount a woman is objectified, greater female objectification may be prompted by observers’ negative stereotypes of promiscuous women.

Effects of Self-Esteem Threat on Physical Attractiveness Stereotypes.

Certainly one of the first things that we notice when meeting someone new is how physically attractive that they are. Although the vast majority of studies in the literature suggest favoritism for physically attractive humans, some research indicates that negative biases may occur as well. This discrepancy in the literature may simply indicate the failure of differing experimental methods to adequately tap the same construct; however, it is also a likely indicator of moderating factors at work. This study employs an episodic memory task to demonstrate the moderating effects of self-esteem threat on physical attractiveness attributions. Furthermore, results indicate that attractiveness-based stereotypes are susceptible to fluctuations in self-esteem, such that individuals experiencing a threat to self-esteem become more reliant on stereotyping.

Does being beautiful always help? Contingency effects of physical attractiveness of the service providers on customer response

PurposeThis paper aims to explore the physical attractiveness stereotype in service encounters. Specifically, this paper examines how physical attractiveness affects a customer’s response and whether a customer’s social interaction anxiety and the consumption situation moderate this relationship.Design/methodology/approachThree experiments were used to test hypotheses. Participants were subject to scenarios of varying levels of physical attractiveness (more vs less), social interaction anxiety (high vs low) and consumption situation (private vs public). Customer participation intention and citizenship behavior were measured along scales.FindingsThe results indicate that the physical attractiveness of service providers positively affects customer citizenship behavior, and customer participation intention mediates this relationship. However, the effect only exists for a customer with low social interaction anxiety or presents itself under public consumption conditions.Research limitations/implicationsThis work paints a more nuanced picture of missing links in the understanding of the influence of service providers’ physical attractiveness. It enriches the physical attractiveness stereotype literature by identifying the mediating role of customer participation intention while bounding the relationship within conditions related to a customer’s social interaction anxiety and the service consumption situation.Practical implicationsManagement may alter the performance of service employees by considering the employee’s physical attractiveness and gauging customer social interaction anxiety while keeping in mind the consumption situation.Originality/valueThis study advances physical attractiveness stereotype research by examining its effect on customer participation intention and citizenship behavior in the service industry. Additionally, this study adds customer social interaction anxiety and consumption situation to the existing literature that addresses employee factors affecting customer behavior.

Serial dependence generalizes across different stimulus formats, but not different sensory modalities

Visual perception is thought to be supported by a stabilization mechanism integrating information over time, resulting in a systematic attractive bias in experimental contexts. Previous studies show that this effect, whereby a current stimulus appears more similar to the one previous to it, depends on attention, suggesting an active high-level mechanism that modulates perception. Here, we test the hypothesis that such a mechanism generalizes across different stimulus formats or sensory modalities, effectively abstracting from the low-level properties of the stimuli. Participants performed a numerosity discrimination task, with task-relevant dot-array stimuli preceded by a sequence of visual (flashes) or auditory (tones) stimuli encompassing different numerosities. Our results show a clear attractive bias induced by visual sequential numerosity affecting an array of simultaneously presented dots, thus operating across different stimulus formats. Conversely, auditory sequences did not affect the judgment on visual numerosities. Overall, our results demonstrate that serial dependence in numerosity perception operates according to the abstract representation of numerical magnitude of visual stimuli irrespective of their format. These results thus support the idea that a high-level mechanism mediates visual stability and continuity, which integrates relevant information over time irrespective of the low-level sensory properties of the stimuli.

Laws of concatenated perception: Vision goes for novelty, decisions for perseverance.

Every instant of perception depends on a cascade of brain processes calibrated to the history of sensory and decisional events. In the present work, we show that human visual perception is constantly shaped by two contrasting forces exerted by sensory adaptation and past decisions. In a series of experiments, we used multilevel modeling and cross-validation approaches to investigate the impact of previous stimuli and decisions on behavioral reports during adjustment and forced-choice tasks. Our results revealed that each perceptual report is permeated by opposite biases from a hierarchy of serially dependent processes: Low-level adaptation repels perception away from previous stimuli, whereas decisional traces attract perceptual reports toward the recent past. In this hierarchy of serial dependence, “continuity fields” arise from the inertia of decisional templates and not from low-level sensory processes. This finding is consistent with a Two-process model of serial dependence in which the persistence of readout weights in a decision unit compensates for sensory adaptation, leading to attractive biases in sequential perception. We propose a unified account of serial dependence in which functionally distinct mechanisms, operating at different stages, promote the differentiation and integration of visual information over time.