Inversion Paradigm Research Articles

Are alcohol-related attentional biases and holistic perception independent processes?

Excessive alcohol consumption is associated with the development of attentional biases for alcohol-related cues and their prioritization in heavy drinkers. Recently, it has been hypothesized that holistic processing may also play a role in this prioritization, with higher alcohol consumers exhibiting stronger holistic perception for alcohol cues. However, it is unclear how processing stimuli holistically may be related to attentional biases. We explored potential relationships between attentional biases, holistic processing, and alcohol consumption in a sample of drinkers using two tasks. In the first, a visual probe task replicated previous findings by showing an increased attentional bias for alcohol-related stimuli in individuals with higher alcohol consumption. Surprisingly, using an inversion paradigm to measure holistic perception in our second task, we showed reduced holistic processing for both alcohol and nonalcohol cues in higher alcohol consumers compared to light alcohol consumers. Although alcohol consumption was positively associated with attentional biases and negatively associated with holistic processing, these cognitive processes were not associated with each other. This study supports a model of visual perception in which attentional biases and holistic processing are independently linked with alcohol use. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Association of idiosyncratic eye-movement patterns with holistic processing of faces as measured by the composite face effect and the face inversion effect

ABSTRACT Faces are said to be processed holistically, with the composite face paradigm and the face inversion paradigm being two widely used tasks to demonstrate this mode of processing. However, recent studies have found that individuals differ in their eye movements to faces, and little is known about whether these differences in eye movements are associated with holistic processing. Here, participants were asked to complete the inversion task and the top-cued (or bottom-cued) composite task. Using a Hidden Markov Model approach to analyze eye movements, participants were clustered into two groups on the basis of their eye movements in identifying upright faces, with an upper-focused group who preferred to look at the eye region, and a lower-focused group who preferred to look at the centre of faces. These two groups did not show any differences in the size of the inversion effect. But in the composite task, the upper-focused group showed a stronger composite effect for matching upper halves of faces than lower halves, whereas the composite effect shown by the lower-focused group had a similar magnitude no matter which half was being matched. Thus, holistic face processing as measured by the composite effect is associated with one’s preferred face-scanning pattern.

A Novel Fully Coupled Physical–Statistical–Deep Learning Method for Retrieving Near-Surface Air Temperature from Multisource Data

Retrieval of near-surface air temperature (NSAT) from remote sensing data is often ill-posed because of insufficient observational information. Many factors influence the NSAT, which can lead to the instability of the accuracy of traditional algorithms. To overcome this problem, in this study, a fully coupled framework was developed to robustly retrieve NSAT from thermal remote sensing data, integrating physical, statistical, and deep learning methods (PS-DL). Based on physical derivation, the optimal combinations of remote sensing bands were chosen for building the inversion equations to retrieve NSAT, and deep learning was used to optimize the calculations. Multisource data (physical model simulations, remote sensing data, and assimilation products) were used to establish the training and test databases. The NSAT retrieval accuracy was enhanced using the land surface temperature (LST) and land surface emissivity (LSE) as prior knowledge. The highest mean absolute error (MAE) and root-mean-square error (RMSE) of the retrieved NSAT data were 0.78 K and 0.89 K, respectively. In a cross-validation against the China Meteorological Forcing Dataset (CMFD), the MAE and RMSE were 1.00 K and 1.29 K, respectively. The actual inversion MAE and RMSE for the optimal band combination were 1.21 K and 1.33 K, respectively. The proposed method effectively overcomes the limitations of traditional methods as the inversion accuracy is enhanced by adding the information of atmospheric water vapor and more bands, and the applicability (portability) of the algorithm is enhanced using LST and LSE as prior knowledge. This model can become a general inversion paradigm for geophysical parameter retrieval, which is of milestone significance because of its accuracy and the ability to allow deep learning for physical interpretation.

Robots engage face-processing less strongly than humans.

Robot faces often differ from human faces in terms of their facial features (e.g., lack of eyebrows) and spatial relationships between these features (e.g., disproportionately large eyes), which can influence the degree to which social brain [i.e., Fusiform Face Area (FFA), Superior Temporal Sulcus (STS); Haxby et al., 2000] areas process them as social individuals that can be discriminated from other agents in terms of their perceptual features and person attributes. Of interest in this work is whether robot stimuli are processed in a less social manner than human stimuli. If true, this could undermine human-robot interactions (HRIs) because human partners could potentially fail to perceive robots as individual agents with unique features and capabilities-a phenomenon known as outgroup homogeneity-potentially leading to miscalibration of trust and errors in allocation of task responsibilities. In this experiment, we use the face inversion paradigm (as a proxy for neural activation in social brain areas) to examine whether face processing differs between human and robot face stimuli: if robot faces are perceived as less face-like than human-faces, the difference in recognition performance for faces presented upright compared to upside down (i.e., inversion effect) should be less pronounced for robot faces than human faces. The results demonstrate a reduced face inversion effect with robot vs. human faces, supporting the hypothesis that robot faces are processed in a less face-like manner. This suggests that roboticists should attend carefully to the design of robot faces and evaluate them based on their ability to engage face-typical processes. Specific design recommendations on how to accomplish this goal are provided in the discussion.

Multiple latent variables but functionally dependent output mappings underlying the recognition of own- and other-race faces for Chinese individuals: Evidence from state-trace analysis.

To explore the number of latent variables underlying recognition of own- and other-race faces for Chinese observers, we conducted a study-recognition task where orientation, stimuli type, and duration were manipulated in the study phase and applied state trace analysis as a statistic method. Results showed that each state trace plot on each pair of stimuli types matched a single monotonic curve when stimuli type was set to state factor, but separate curves between face and non-face showed up when the state factor was orientation. The results implied that at least two latent variables affected recognition performance in the inversion paradigm. Besides, the unidimensional structure between own- and other-race faces regardless of the state factor suggested that Chinese participants used the same recognition mechanism for unfamiliar own- and other-race faces in the inversion paradigm.

Human- or object-like? Cognitive anthropomorphism of humanoid robots.

Across three experiments (N = 302), we explored whether people cognitively elaborate humanoid robots as human- or object-like. In doing so, we relied on the inversion paradigm, which is an experimental procedure extensively used by cognitive research to investigate the elaboration of social (vs. non-social) stimuli. Overall, mixed-model analyses revealed that full-bodies of humanoid robots were subjected to the inversion effect (body-inversion effect) and, thus, followed a configural processing similar to that activated for human beings. Such a pattern of finding emerged regardless of the similarity of the considered humanoid robots to human beings. That is, it occurred when considering bodies of humanoid robots with medium (Experiment 1), high and low (Experiment 2) levels of human likeness. Instead, Experiment 3 revealed that only faces of humanoid robots with high (vs. low) levels of human likeness were subjected to the inversion effects and, thus, cognitively anthropomorphized. Theoretical and practical implications of these findings for robotic and psychological research are discussed.

Crying the blues: The configural processing of infant face emotions and its association with postural biases

Several studies have exploited the face inversion paradigm to unveil the mechanisms underlying the processing of adult faces, showing that emotion recognition relies more on a global/configural processing for sadness and on a piecemeal/featural processing for happiness. This difference might be due to the higher biological salience of negative rather than positive emotions and consequently should be higher for infant rather than adult faces. In fact, evolution might have promoted specific adaptations aimed to prioritize the infant face by the attention system in order to foster survival during infancy, a rather long period during which the newborn depends entirely on adults. Surprisingly, no study has yet exploited this paradigm to investigate the processing of emotions from infant faces. In this study, the face inversion paradigm was used to explore emotion recognition of infant compared with adult faces in a sample of adult participants. In addition, the existence of potential differences associated with specific postural biases (e.g., the left-cradling bias) during interactions with infants was explored. The presence of rotational effects for the recognition of both happy and sad infant faces suggests that infant face emotions are predominantly processed in a configural fashion, this perceptual effect being more evident in sadness. Results are discussed in the context of the biological and social salience of the emotional infant face.

Analysis of circular gratings as image plane coronagraph filters

Coronagraphy is an efficient technique for identifying and characterizing extra-solar planets orbiting in the habitable zone of their parent star. An important family of coronagraphs is based on amplitude or phase filters placed at an intermediate image plane of the optical system, spreading starlight outside of the so-called “Lyot stop” located at the exit pupil plane of the instrument. This article explores the potential of circular amplitude and phase gratings employed as image plane coronagraph filters. It presents a theoretical analysis of the simplest case of an amplitude circular grating and introduces an inversion paradigm with respect to classical Lyot coronagraph, by exchanging its image and pupil masks. Various types of circular gratings are considered and their performance is evaluated with the help of numerical simulations. The most promising solutions are presented and discussed. The main conclusion is that high attenuation ratios of the parent star are feasible, provided that the system is properly optimized with a Lyot stop especially tailored to the grating filter.

The upside-down self: One's own face recognition is affected by inversion.

One's own face is recognized more efficiently than any other face, although the neural mechanisms underlying this phenomenon remain poorly understood. Considering the extensive visual experience that we have with our own face, some authors have proposed that self-face recognition involves a more analytical perceptual strategy (i.e., based on face features) than other familiar faces, which are commonly processed holistically (i.e., as a whole). However, this hypothesis has not yet been tested with brain activity data. In the present study, we employed an inversion paradigm combined with event-related potential (ERP) recordings to investigate whether the self-face is processed more analytically. Sixteen healthy participants were asked to identify their own face and a familiar face regardless of its orientation, which could either be upright or inverted. ERP analysis revealed an enhanced amplitude and a delayed latency for the N170 component when faces were presented in an inverted orientation. Critically, both the self and a familiar face were equally vulnerable to the inversion effect, suggesting that the self-face is not processed more analytically than a familiar face. In addition, we replicated the recent finding that the attention-related P200 component is a specific neural index of self-face recognition. Overall, our results suggest that the advantage for self-face processing might be better explained by the engagement of self-related attentional mechanisms than by the use of a more analytical visuoperceptual strategy.

Effects of high and low power on the visual encoding of faces

ABSTRACT The experience of power is typically associated with social disengagement, yet power has also been shown to facilitate configural visual encoding – a process that supports the initial perception of a human face. To investigate this apparent contradiction, we directly tested whether power influences the visual encoding of faces. Two experiments, using neural and psychophysical assessments, revealed that low power impeded both first-order configural processing (the encoding of a stimulus as a face, assessed by the N170 event-related potential) and second-order configural processing (the encoding of feature distances within configuration, assessed using the face inversion paradigm), relative to high-power and control conditions. Power did not significantly affect facial feature encoding. Results reveal an early and automatic effect of low power on face perception, characterized primarily by diminished face processing. These findings suggest a novel interplay between visual and cognitive processes in power’s influence on social behavior.

Is body inversion effect a valid measure of women's objectification? Yes, it is!

Objectification occurs when a person is perceived akin to an object. Recent research has defined objectification as a process through which a person is reduced to her constituent features (e.g., body parts) in a way that resembles how objects are processed. The inversion effect (better recognition for upright stimuli than for inverted ones) has often been used as a cognitive measure of objectification, with the inversion effect typically emerging for human stimuli, but not for objects. This paper aimed to evaluate the construct validity of the body inversion effect as a measure of objectification by examining whether the body inversion effect correlates with personality and individual differences conceptually related to objectification. To test our hypotheses, 318 participants (162 men, 156 women) completed a new online version of the behavioral body inversion paradigm (B-BIP), followed by a questionnaire measuring objectification-related variables (objectifying behaviors, self-control, sexism, and dark triad traits). Seeing women as objects (lower body inversion effects) was associated with more objectifying behaviors, lower self-control, higher levels of sexism, and more dark triad traits among men and women, which provides preliminary evidence that the body inversion effect is a valid measure of women's objectification. We discussed the implications and limitations of these findings.

Measuring objectification through the Body Inversion Paradigm: Methodological issues.

Objectification occurs when a person is perceived and/or treated like an object. With the present work, we overview the available measures of objectification and present a series of studies aimed at investigating the validity of the task of inverted body recognition proposed by Bernard and colleagues (2012), which might potentially be a useful cognitive measure of objectification. We conducted three studies. Study 1 (N = 101) is a direct replication of Bernard et al.’s study: participants were presented with the same photos of sexualized male and female targets used in the original research. Study 2a (N = 100) is a conceptual replication: we used different images of scantily dressed male and female models. Finally, in Study 2b (N = 100), we investigated a boundary condition by presenting to participants photos of the same models as in Study 2a, but fully dressed and non-sexualized. Using mixed-effects models for completely-crossed classified data structures, we investigated the relationship between the inversion effect and the stimulus’ asymmetry, sexualization and attractiveness, and the perceivers’ self-objectification, sexism, and automatic woman-human association. Study 1 replicated the original results, showing a stronger inversion effect for male photos. However, no difference between male and female stimuli emerged in either Study 2a or 2b. Moreover, the impact of the other variables on the inversion effect was highly unstable across the studies. These aspects together indicate that the inversion effect depends on the specific set of stimuli and limits the generalizability of results collected using this method.

3D faces are recognized more accurately and faster than 2D faces, but with similar inversion effects

Recognition of faces typically occurs via holistic processing where individual features are combined to provide an overall facial representation. However, when faces are inverted, there is greater reliance on featural processing where faces are recognized based on their individual features. These findings are based on a substantial number of studies using 2-dimensional (2D) faces and it is unknown whether these results can be extended to 3-dimensional (3D) faces, which have more depth information that is absent in the typical 2D stimuli used in face recognition literature. The current study used the face inversion paradigm as a means to investigate how holistic and featural processing are differentially influenced by 2D and 3D faces. Twenty-five participants completed a delayed face-matching task consisting of upright and inverted faces that were presented as both 2D and 3D stereoscopic images. Recognition accuracy was significantly higher for 3D upright faces compared to 2D upright faces, providing support that the enriched visual information in 3D stereoscopic images facilitates holistic processing that is essential for the recognition of upright faces. Typical face inversion effects were also obtained, regardless of whether the faces were presented in 2D or 3D. Moreover, recognition performances for 2D inverted and 3D inverted faces did not differ. Taken together, these results demonstrated that 3D stereoscopic effects influence face recognition during holistic processing but not during featural processing. Our findings therefore provide a novel perspective that furthers our understanding of face recognition mechanisms, shedding light on how the integration of stereoscopic information in 3D faces influences face recognition processes.

Internal model of gravity influences configural body processing

Human bodies are processed by a configural processing mechanism. Evidence supporting this claim is the body inversion effect, in which inversion impairs recognition of bodies more than other objects. Biomechanical configuration, as well as both visual and embodied expertise, has been demonstrated to play an important role in this effect. Nevertheless, the important factor of body inversion effect may also be linked to gravity orientation since gravity is one of the most fundamental constraints of our biology, behavior, and perception on Earth. The visual presentation of an inverted body in a typical body inversion paradigm turns the observed body upside down but also inverts the implicit direction of visual gravity in the scene. The orientation of visual gravity is then in conflict with the direction of actual gravity and may influence configural processing. To test this hypothesis, we dissociated the orientations of the body and of visual gravity by manipulating body posture. In a pretest we showed that it was possible to turn an avatar upside down (inversion relative to retinal coordinates) without inverting the orientation of visual gravity when the avatar stands on his/her hands. We compared the inversion effect in typical conditions (with gravity conflict when the avatar is upside down) to the inversion effect in conditions with no conflict between visual and physical gravity.The results of our experiment revealed that the inversion effect, as measured by both error rate and reaction time, was strongly reduced when there was no gravity conflict. Our results suggest that when an observed body is upside down (inversion relative to participants’ retinal coordinates) but the orientation of visual gravity is not, configural processing of bodies might still be possible. In this paper, we discuss the implications of an internal model of gravity in the configural processing of observed bodies.

Power, Ethnic Origin, and Sexual Objectification

In this study, we investigated the effects of primed power on sexual objectification of Caucasian and Asian men and women. As in previous studies, sexual objectification was assessed using an inversion paradigm with face–body compound stimuli. Previous work has shown that participants primed to power do not show the typical drop in recognition performance for inverted face–body compound stimuli, suggesting that they process these stimuli in terms of their individual features, in a manner akin to objects, and quite different from the way in which faces and bodies are normally processed (i.e., configurally). Caucasian male and female participants were primed to high or neutral-power before engaging in an old/new recognition task involving sexualized face–body compound images of Caucasian and Asian men and women. Participants primed to high-power showed a decreased inversion effect for Caucasian models of the opposite gender, but not for Asian models. Thus, power exerts different effects on this specific type of social perception, depending on the ethnic origin of the target. We discuss our results in the context of the extant literature on power and with reference to media stereotyping of Caucasians and Asians.

权力对异性恋女性客体化他人的影响

本研究探讨权力(社会权力感，个人权力感)对女异性恋个体客体化他人的影响。招募60名女异性恋被试。通过呈现权力相关词汇启动被试的社会权力感，采用个人权力感问卷收集被试的个人权力感信息，并通过倒置效应范式采集被试再认性感男、女图片的正确率和反应时。实验结果显示：(1) 高个人权力感女性处于高社会权力感条件中，会性客体化女性目标，对男性目标则没有性客体化；处于低社会权力感条件中，没有性客体化出现。(2) 低个人权力感女性会性客体化女性目标，而对男性目标则没有性客体化；且该效应不受社会权力感的影响。 The current study investigated the effects of power (social power vs. personal power) on the sexual objectification to others for heterosexual women. We recruited 60 heterosexual women. Pow-er-related words were presented to participants to prime social power, and the personal power was measured via the Generalized Sense of Power Scale. We adopted the body inversion paradigm to collect accuracy rates and reaction times of participants when recognized sexualized female and male targets. The results showed that (1) women with high personal power would sexual objectify sexualized female targets when presented high social power cues; while did not do that with low social power cues; (2) women with low personal power would sexual objectify sexualized female targets, but did not for sexualized male targets, regardless of their social power.

The Face of Humanity

Across three studies, we test the hypothesis that the perceived “humanness” of a human face can have its roots, in part, in low-level, feature-integration processes typical of normal face perception—configural face processing. We provide novel evidence that perceptions of humanness/dehumanization can have perceptual roots. Relying on the well-established face inversion paradigm, we demonstrate that disruptions of configural face processing also disrupt the ability of human faces to activate concepts related to humanness (Experiment 1), disrupt categorization of human faces as human (but not animal faces as animals; Experiment 2), and reduce the levels of humanlike traits and characteristics ascribed to faces (Experiment 3). Taken together, the current findings provide a novel demonstration that dehumanized responses can arise from bottom-up perceptual cues, which suggests novel causes and consequences of dehumanizing responses.

Configural and component processing in simultaneous and sequential lineup procedures

Configural processing supports accurate face recognition, yet it has never been examined within the context of criminal identification lineups. We tested, using the inversion paradigm, the role of configural processing in lineups. Recent research has found that face discrimination accuracy in lineups is better in a simultaneous compared to a sequential lineup procedure. Therefore, we compared configural processing in simultaneous and sequential lineups to examine whether there are differences. We had participants view a crime video, and then they attempted to identify the perpetrator from a simultaneous or sequential lineup. The test faces were presented either upright or inverted, as previous research has shown that inverting test faces disrupts configural processing. The size of the inversion effect for faces was the same across lineup procedures, indicating that configural processing underlies face recognition in both procedures. Discrimination accuracy was comparable across lineup procedures in both the upright and inversion condition. Theoretical implications of the results are discussed.

Investigating Quantum Mechanical Tunneling at the Nanoscale via Analogy: Development and Assessment of a Teaching Tool for Upper-Division Chemistry

We report a novel educational activity designed to teach quantum mechanical tunneling to upper-division undergraduate students in the context of nanochemistry. The activity is based on a theoretical framework for analogy and is split into three parts that are linked pedagogically through the framework: classical ball-and-ramp system, tunneling involving a familiar substance (NH3 inversion), and tunneling in core/shell quantum dots. Students first begin in the classical world—the world within which they are most familiar, explore tunneling in the NH3 inversion paradigm to gain exposure to the stark differences between classical and quantum behavior, and finally extend the concept of tunneling to the nanoscale through the examination of spectroscopic results in the literature of CdSe/ZnS core/shell quantum dots. Additionally, the activity has been assessed via a mixed-methods approach using qualitative analysis of individual student interviews (pre- and postactivity) and recordings of students’ group discou...

Bayesian Approach to Tree Detection Based on Airborne Laser Scanning Data

In this paper, we consider a computational method for detecting trees on the basis of airborne laser scanning (ALS) data. In the approach, locations, heights, and crown shapes of trees are tracked automatically by fitting multiple 3-D crown height models to ALS data of a field plot. The estimates are computed with an iterative reconstruction method based on Bayesian inversion paradigm. The formulation allows for utilizing prior information on tree shapes in the estimation. Here, the prior models are written based on field measurement data and allometric models for tree shapes. The feasibility of the approach is tested with ALS and field data from a managed boreal forest. The algorithm found 70.2% of the trees in the area, which is a clear improvement compared to a usual 2.5D crown delineation approach (53.1% of the trees detected).