Using Monte Carlo Simulation to Forecast the Scientific Utility of Psychological App Studies: A Tutorial.

Mobile applications offer a wide range of opportunities for psychological data collection, such as increased ecological validity and greater acceptance by participants compared to traditional laboratory studies. However, app-based psychological data also pose data-analytic challenges because of the complexities introduced by missingness and interdependence of observations. Consequently, researchers must weigh the advantages and disadvantages of app-based data collection to decide on the scientific utility of their proposed app study. For instance, some studies might only be worthwhile if they provide adequate statistical power. However, the complexity of app data forestalls the use of simple analytic formulas to estimate properties such as power. In this paper, we demonstrate how Monte Carlo simulations can be used to investigate the impact of app usage behavior on the utility of app-based psychological data. We introduce a set of questions to guide simulation implementation and showcase how we answered them for the simulation in the context of the guessing game app Who Knows (Rau et al., 2023). Finally, we give a brief overview of the simulation results and the conclusions we have drawn from them for real-world data generation. Our results can serve as an example of how to use a simulation approach for planning real-world app-based data collection.

I think you might like me: Emergence and change of meta-liking in initial social interactions.

Feeling accepted by others is a fundamental human motive and an important marker of successful social interactions. This interpersonal perception, known as meta-liking, is especially relevant during adolescence, when peer relationships deepen and expand. However, knowledge is limited regarding meta-liking formation in initial social interactions. This study investigated whether adolescents (N = 293, Mage = 15.48, 61.10% female) have default expectations for meta-liking at zero acquaintance and how these judgments are updated during initial group interactions. Specifically, we used latent change models to examine how personality traits predicted initial meta-liking and whether personality and social interaction experiences were linked to changes in meta-liking judgments throughout an interaction. Our findings revealed three key insights: First, meta-liking increased gradually over the course of the interaction, with substantial individual differences in both default meta-liking and change scores. Second, extraversion, neuroticism, and self-esteem predicted initial meta-liking. Third, liking others was also linked to initial meta-liking and early changes, while meta-liking changes toward the end of the interaction occurred independent of all these features and were not predicted by expressive behaviors of interaction partners. This study represents a first empirical test of default expectations and updates in meta-liking based on personality characteristics and social interaction experiences in initial social interactions. We discuss our results in terms of a broader framework for understanding how metaperceptions are formed and updated early in the acquaintance process. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Individual differences in dissimilation: Do some people make more distinctions among targets' personalities than others?

OBJECTIVE: People differ in how positively they tend to see others' traits, but people might also differ in how strongly they apply their perceptual styles. In two studies (Ns = 355, 303), the current research explores individual differences in how variable people's first impressions are across targets (i.e., within-person variability), how and why these differences emerge, and who varies more in their judgments of others. METHOD: Participants described themselves on personality measures and rated 30 (Study 1) or 90 (Study 2) targets on Big Five traits. RESULTS: Using the extended Social Relations Model (eSRM), results suggest that within-person variability in impressions is consistent across trait ratings. People lower in extraversion, narcissism and self-esteem tended to make distinctions across targets' Big Five traits that were more consistent with other perceivers (sensitivity). Furthermore, some people more than others tended to consistently make unique distinctions among targets (differentiation), and preliminary evidence suggests these people might be higher in social anxiety and lower in self-esteem and emotional stability. CONCLUSION: Overall then, a more complete account of person perception should consider individual differences in how variable people's impressions are of others.

Robust Imaging of Speed of Sound Using Virtual Source Transmission.

Speed of sound (SoS) is a novel imaging biomarker for assessing the biomechanical characteristics of soft tissues. SoS imaging in the pulse-echo mode using conventional ultrasound (US) systems with hand-held transducers has the potential to enable new clinical uses. Recent work demonstrated that diverging waves (DWs) from a single element (SE) transmit to outperform plane-wave sequences. However, SE transmits have severely limited power and hence produce a low signal-to-noise ratio (SNR) in echo data. We herein propose Walsh-Hadamard (WH) coded and virtual-source (VS) transmit sequences for the improved SNR in SoS imaging. We additionally present an iterative method of estimating beamforming (BF) SoS in the medium, which otherwise confounds SoS reconstructions due to beamforming inaccuracies in the images used for reconstruction. Through numerical simulations, phantom experiments, and in vivo imaging data, we show that WH is not robust against motion, which is often unavoidable in clinical imaging scenarios. Our proposed VS sequence is shown to provide the highest SoS reconstruction performance, especially robust to motion artifacts. In phantom experiments, despite having a comparable SoS root-mean-square error (RMSE) of 17.5-18.0 m/s at rest, with a minor axial probe motion of ≈ 0.67 mm/s the RMSE for SE, WH, and VS already deteriorate to 20.2, 105.4, and 19.0 m/s, respectively, showing that WH produces unacceptable results, not robust to motion. In the clinical data, the high SNR and motion resilience of VS sequences are seen to yield superior contrast compared to SE and WH sequences.

Applying multimodal social relations analyses in personality pathology research.

In this article, we introduce multimodal social relations analysis as a powerful tool for studying personality pathology that tackles several important limitations of existing research. By implementing a design in which groups of participants provide repeated ratings as they interact, researchers can gather data on individuals' mutual perceptions, affective experiences, and interpersonal behaviors in naturalistic social contexts. We demonstrate how the social relations model can be used to analyze and make conceptual sense of these complex, dyadic data and showcase how this may be used to address not only the experiences and behaviors of individuals diagnosed with a personality disorder but also the reactions these individuals evoke in others. We provide recommendations as to what settings and measures might be best suited when designing a study that applies multimodal social relations analysis, and we discuss practical and theoretical implications as well as possible extensions to this method. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Trait-specificity versus global positivity: A critical test of alternative sources of assumed similarity in personality judgments.

For decades, a recurring question in person perception research has been whether people's perceptions of others' personality traits are related to how they see themselves on these traits. Indeed, evidence for such "assumed similarity" effects has been found repeatedly, at least for certain characteristics. However, recent research suggests that these findings may be an artifact of individual differences in how positively or negatively perceivers see others in general, irrespective of trait-specific content. Overcoming the limitations of prior studies, the present work provides a critical test of trait-specificity versus global positivity as sources of assumed similarity in personality judgments. In two large studies (Ns = 2,287 and 3,563) with preregistered hypotheses and analyses, perceivers rated 10 targets (strangers) each on the honesty-humility, emotionality, extraversion, agreeableness, conscientiousness, and openness to experience; HEXACO (Study 1) and Big Five (Study 2) dimensions to capture their perceptions of the "average other" (i.e., perceiver effects). We then computed "positivity-corrected" assumed similarity effects using trait-based and profile-based approaches. Although controlling for global positivity considerably reduced the strength of assumed similarity, perceiver effects were still positively related to self-reports. As predicted, these assumed similarity effects occurred foremostly for traits strongly linked to values. Specifically, in Study 1, positivity-corrected assumed similarity was observed only for honesty-humility and openness to experience, albeit meaningful effects merely occurred on one of the two self-report measures. In Study 2, traits' value-relatedness remained a unique moderator of assumed similarity after accounting for traits' positivity (i.e., social desirability). These findings demonstrate that assumed similarity is indeed, to some extent, trait-specific. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Do Agency and Communion Explain the Relationship Between Perceiver and Target Effects in Interpersonal Perception? A Meta-Analysis on Generalized Reciprocity.

This meta-analysis examines generalized reciprocity, that is, the relationship between how people perceive others and how they are perceived by others. It tests the hypothesis that generalized reciprocity varies as a function of the content domain under investigation. Generalized reciprocity for attributes with primarily communal content (e.g., friendliness) was hypothesized to be more positive than generalized reciprocity for attributes with primarily agentic content (e.g., assertiveness). Sixty-four primary studies reporting correlations between perceiver and target effects with a total number of 17,561 participants were included in the analysis. Results of a multilevel meta-analytical random effects model showed that reciprocity correlations were slightly negative, but around zero, for primarily agentic attributes (r = -.05) and became more positive with increasing communal content (up to r = .18 for primarily communal attributes). Generalized reciprocity thus varied depending on the extent to which the regarded attribute is agentic versus communal.

Positivity in peer perceptions over time: Personality explains variation at zero-acquaintance, popularity explains differential change.

People have characteristic ways of perceiving others' personalities. When judging others on several traits, some perceivers tend to form globally positive and others tend to form globally negative impressions. These differences, often termed perceiver effects, have mostly been conceptualized as a static construct that taps perceivers' personal stereotypes about the average other. Here, we assessed perceiver effects repeatedly in small groups of strangers who got to know each other over the course of 2-3 weeks and examined the degree to which positivity differences were stable versus developed systematically over time. Using second-order latent growth curve modeling, we tested whether initial positivity (i.e., random intercepts) could be explained by several personality variables and whether change (i.e., random slopes) could be explained by these personality variables and by perceivers' social experiences within the group. Across three studies (ns = 439, 257, and 311), personality variables characterized by specific beliefs about others, such as agreeableness and narcissistic rivalry, were found to explain initial positivity but personality was not reliably linked to changes in positivity over time. Instead, feeling liked and, to a lesser extent, being liked by one's peers partially explained changes in positivity. The results suggest that perceiver effects are best conceptualized as reflecting personal generalized stereotypes at an initial encounter but group-specific stereotypes that are fueled by social experiences as groups get acquainted. More generally, these findings suggest that perceiver effects might be a key variable to understanding reciprocal dynamics of small groups and interpersonal functioning. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Nonlinear Characterization of Tissue Viscoelasticity With Acoustoelastic Attenuation of Shear Waves.

Shear-wave elastography (SWE) measures shear-wave speed (SWS), which is related to the underlying shear modulus of soft tissue. SWS in soft tissue changes depending on the amount of external strain that soft tissue is subjected to due to the acoustoelastic (AE) phenomenon. In the literature, variations of SWS as a function of applied uniaxial strain were used for nonlinear characterization, assuming soft tissues to be elastic, although soft tissues are indeed viscoelastic in nature. Hence, nonlinear characterization using SWS alone is insufficient. In this work, we use SWS together with shear-wave attenuation (SWA) during incremental quasi-static compressions in order to derive biomechanical characterization based on the AE theory in terms of well-defined storage and loss moduli. As part of this study, we also quantify the effect of applied strain on measurements of SWS and SWA since such confounding effects need to be taken into account when using SWS and/or SWA, e.g., for staging a disease state, while such effects can also serve as an additional imaging biomarker. Our results from tissue-mimicking phantoms with varying oil percentages and ex vivo porcine liver experiments demonstrate the feasibility of our proposed methods. In both experiments, SWA was observed to decrease with applied strain. For 10% compression in ex vivo livers, shear-wave attenuation decreased, on average, by 28% (93 Np/m), while SWS increased, on average, by 20% (0.26 m/s).

Measuring Emotional Awareness in Patients With Schizophrenia and Schizoaffective Disorders.

The ability to mentalize (i.e., to form representations of mental states and processes of oneself and others) is often impaired in people with schizophrenia spectrum disorders. Emotional awareness (EA) represents one aspect of affective mentalizing and can be assessed with the Levels of Emotional Awareness Scale (LEAS), but findings regarding individuals with schizophrenia spectrum disorders are inconsistent. The present study aimed at examining the usability and convergent validity of the LEAS in a sample of N = 130 stabilized outpatients with schizophrenia or schizoaffective disorders. An adequacy rating was added to the conventional LEAS rating to account for distortions of content due to, for example, delusional thinking. Scores of the patient group were compared with those of a matched healthy control sample. Correlation with symptom clusters, a self-report measure of EA, a measure of synthetic metacognition (MAS-A-G), and an expert rating capturing EA from the psychodynamic perspective of psychic structure (OPD-LSIA) were examined. Regarding self-related emotional awareness, patients did not score lower than controls neither in terms of conventional LEAS nor in terms of adequacy. Regarding other-related emotional awareness, however, patients showed a reduced level of adequacy compared to controls whereas no such difference was found for conventional LEAS scores. Higher conventional LEAS scores were associated with fewer negative symptoms, and higher structural integration of self-perceptions measured by the OPD-LSIA. Higher adequacy of responses correlated with fewer symptoms of disorganization as well as excitement, higher scores of self-reflection on the MAS-A-G as well as self- and object-perception and internal and external communication as measured by the subscales of the OPD-LSIA. Findings suggest that the LEAS might not be sensitive enough to detect differences between mildly symptomatic patients with schizophrenia or schizoaffective disorders and healthy controls. However, LEAS ratings are still suitable to track intraindividual changes in EA over time. Observing the adequacy of patients' responses when using the LEAS may be a promising way to increase diagnostical utility and to identify patterns of formal and content-related alterations of mentalizing in this patient group. Methodological indications for future studies are discussed.

Speed-of-sound imaging using diverging waves.

PURPOSE: Due to its safe, low-cost, portable, and real-time nature, ultrasound is a prominent imaging method in computer-assisted interventions. However, typical B-mode ultrasound images have limited contrast and tissue differentiation capability for several clinical applications. METHODS: Recent introduction of imaging speed-of-sound (SoS) in soft tissues using conventional ultrasound systems and transducers has great potential in clinical translation providing additional imaging contrast, e.g., in intervention planning, navigation, and guidance applications. However, current pulse-echo SoS imaging methods relying on plane wave (PW) sequences are highly prone to aberration effects, therefore suboptimal in image quality. In this paper we propose using diverging waves (DW) for SoS imaging and study this comparatively to PW. RESULTS: We demonstrate wavefront aberration and its effects on the key step of displacement tracking in the SoS reconstruction pipeline, comparatively between PW and DW on a synthetic example. We then present the parameterization sensitivity of both approaches on a set of simulated phantoms. Analyzing SoS imaging performance comparatively indicates that using DW instead of PW, the reconstruction accuracy improves by over 20% in root-mean-square-error (RMSE) and by 42% in contrast-to-noise ratio (CNR). We then demonstrate SoS reconstructions with actual US acquisitions of a breast phantom. With our proposed DW, CNR for a high contrast tumor-representative inclusion is improved by 42%, while for a low contrast cyst-representative inclusion a 2.8-fold improvement is achieved. CONCLUSION: SoS imaging, so far only studied using a plane wave transmission scheme, can be made more reliable and accurate using DW. The high imaging contrast of DW-based SoS imaging will thus facilitate the clinical translation of the method and utilization in computer-assisted interventions such as ultrasound-guided biopsies, where B-Mode contrast is often to low to detect potential lesions.

Hemodynamic response to sensory stimulation in mice: Comparison between functional ultrasound and optoacoustic imaging.

Intense efforts are underway to develop functional imaging modalities for capturing brain activity at the whole organ scale with high spatial and temporal resolution. Functional optoacoustic (fOA) imaging is emerging as a new tool to monitor multiple hemodynamic parameters across the mouse brain, but its sound validation against other neuroimaging modalities is often lacking. Here we investigate mouse brain responses to peripheral sensory stimulation using both fOA and functional ultrasound (fUS) imaging. The two modalities operate under similar spatio-temporal resolution regime, with a potential to provide synergistic and complementary hemodynamic readouts. Specific contralateral activation was observed with sub-millimeter spatial resolution with both methods. Sensitivity to hemodynamic activity was found to be on comparable levels, with the strongest responses obtained in the oxygenated hemoglobin channel of fOA. While the techniques attained highly correlated hemodynamic responses, the differential fOA readings of oxygenated and deoxygenated haemoglobin provided complementary information to the blood flow contrast of fUS. The multi-modal approach may thus emerge as a powerful tool providing new insights into brain function, complementing our current knowledge generated with well-established neuroimaging methods.

What is the structure of perceiver effects? On the importance of global positivity and trait-specificity across personality domains and judgment contexts.

When judging others' personalities, perceivers differ in their general judgment tendencies. These perceiver effects partly reflect a response bias but are also stable and psychologically important individual differences. However, current insights into the basic structure of perceiver effects are ambiguous with previous research pointing to either a unidimensional structure (i.e., people see others as globally positive vs. negative) or a multidimensional structure (i.e., people see others as high or low on specific traits). Here we provide a large scale investigation of the structure of perceiver effects that spans more than 100,000 personality judgments across 10 studies in which a total of N = 2,199 perceivers judged others on several trait domains (i.e., the Big Five, agency & communion) and in different judgment contexts (i.e., level of involvement with targets, level of exposure to targets). Results suggest that perceiver effects are hierarchically structured such that they reflect both a global tendency to view others positively versus negativity and specific tendencies to view others as high or low with respect to trait content. The relative importance of these components varied considerably across trait domains and judgment contexts: Perceiver effects were more specific for traits higher in observability and lower in evaluativeness and in context with less personal involvement and higher exposure to targets. Overall, results provide strong evidence for the hierarchical structure of perceiver effects and suggest that their meaning systematically varies depending on trait domain and possibly the judgment context. Implications for theory and assessment are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Seeing the Best or Worst in Others: A Measure of Generalized Other-Perceptions.

How positively or negatively people generally view others is key for understanding personality, social behavior, and psychopathology. Previous research has measured generalized other-perceptions by relying on either explicit self-reports or judgments made in group settings. With the current research, we overcome the limitations of these past approaches by introducing a novel measurement instrument for generalized other-perceptions: the Online-Tool for Assessing Perceiver Effects (O-TAPE). By assessing perceivers' first impressions of a standardized set of target people displayed in social network profiles or short video sequences, the O-TAPE captures individual differences in the positivity of other-perceptions. In Study 1 (n = 219), the instrument demonstrated good psychometric properties and correlations with related constructs. Study 2 (n = 142) replicated these findings and also showed that the O-TAPE predicted other-perceptions in a naturalistic group setting. Study 3 (n = 200) refined the nomological network of the construct and demonstrated that the O-TAPE is invulnerable to effects of social desirability.

Frequency-dependent attenuation reconstruction with an acoustic reflector.

Attenuation of ultrasound waves varies with tissue composition, hence its estimation offers great potential for tissue characterization and diagnosis and staging of pathology. We recently proposed a method that allows to spatially reconstruct the distribution of the overall ultrasound attenuation in tissue based on computed tomography, using reflections from a passive acoustic reflector. This requires a standard ultrasound transducer operating in pulse-echo mode and a calibration protocol using water measurements, thus it can be implemented on conventional ultrasound systems with minor adaptations. Herein, we extend this method by additionally estimating and imaging the frequency-dependent nature of local ultrasound attenuation for the first time. Spatial distributions of attenuation coefficient and exponent are reconstructed, enabling an elaborate and expressive tissue-specific characterization. With simulations, we demonstrate that our proposed method yields a low reconstruction error of 0.04 dB/cm at 1 MHz for attenuation coefficient and 0.08 for the frequency exponent. With tissue-mimicking phantoms and ex-vivo bovine muscle samples, a high reconstruction contrast as well as reproducibility are demonstrated. Attenuation exponents of a gelatin-cellulose mixture and an ex-vivo bovine muscle sample were found to be, respectively, 1.4 and 0.5 on average, consistently from different images of their heterogeneous compositions. Such frequency-dependent parametrization could enable novel imaging and diagnostic techniques, as well as facilitate attenuation compensation of other ultrasound-based imaging techniques.

Training Variational Networks With Multidomain Simulations: Speed-of-Sound Image Reconstruction.

Speed-of-sound (SoS) has been shown as a potential biomarker for breast cancer imaging, successfully differentiating malignant tumors from benign ones. SoS images can be reconstructed from time-of-flight measurements from ultrasound images acquired using conventional handheld ultrasound transducers. Variational networks (VNs) have recently been shown to be a potential learning-based approach for optimizing inverse problems in image reconstruction. Despite earlier promising results, these methods, however, do not generalize well from simulated to acquired data, due to the domain shift. In this work, we present for the first time a VN solution for a pulse-echo SoS image reconstruction problem using diverging waves with conventional transducers and single-sided tissue access. This is made possible by incorporating simulations with varying complexity into training. We use loop unrolling of gradient descent with momentum, with an exponentially weighted loss of outputs at each unrolled iteration in order to regularize the training. We learn norms as activation functions regularized to have smooth forms for robustness to input distribution variations. We evaluate reconstruction quality on the ray-based and full-wave simulations as well as on the tissue-mimicking phantom data, in comparison with a classical iterative [limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)] optimization of this image reconstruction problem. We show that the proposed regularization techniques combined with multisource domain training yield substantial improvements in the domain adaptation capabilities of VN, reducing the median root mean squared error (RMSE) by 54% on a wave-based simulation data set compared to the baseline VN. We also show that on data acquired from a tissue-mimicking breast phantom, the proposed VN provides improved reconstruction in 12 ms.

Influence of perceived threat of Covid-19 and HEXACO personality traits on toilet paper stockpiling.

Following the fast spread of Covid-19 across Europe and North America in March 2020, many people started stockpiling commodities like toilet paper. Despite the high relevance for public authorities to adequately address stockpiling behavior, empirical studies on the psychological underpinnings of toilet paper stockpiling are still scarce. In this study, we investigated the relation between personality traits, perceived threat of Covid-19, and stockpiling of toilet paper in an online survey (N = 996) across 22 countries. Results suggest that people who felt more threatened by Covid-19 stockpiled more toilet paper. Further, a predisposition towards Emotionality predicted the perceived threat of Covid-19 and affected stockpiling behavior indirectly. Finally, Conscientiousness was related to toilet paper stockpiling, such that individuals higher in Conscientiousness tended to stockpile more toilet paper. These results emphasize the importance of clear communication by public authorities acknowledging anxiety and, at the same time, transmitting a sense of control.

Can other-derogation be beneficial? Seeing others as low in agency can lead to an agentic reputation in newly formed face-to-face groups.

Whenever groups form, members readily and intuitively judge each other's agentic characteristics (e.g., self-confidence or assertiveness). We tested the hypothesis that perceiving others as low in these characteristics triggers agentic interpersonal behavior among perceivers, which benefits their own reputation in terms of agency. We analyzed data from a longitudinal field study (Study 1, n = 109), a multiwave laboratory study (Study 2, n = 311), and a preregistered experimental laboratory study (Study 3, n = 206). In Study 1, low other-perceptions of agency predicted agentic reputations at zero acquaintance and the reception of leadership nominations later in time. In Study 2, low other-perceptions of agency predicted within-person increases in agentic reputations over time. In both studies, effects of other-perceptions on reputations were mediated by hostile-dominant interpersonal behaviors. In Study 3, experimentally induced low other-perceptions of agency did not predict hostile-dominant behavior, which calls for more research on the proposed mechanism. By emphasizing the role of other-perceptions, the current research provides a new perspective on reputation formation and leadership emergence. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

3D functional ultrasound imaging of pigeons.

Recent advances in ultrasound Doppler imaging have facilitated the technique of functional ultrasound (fUS) which enables visualization of brain-activity due to neurovascular coupling. As of yet, this technique has been applied to rodents as well as to human subjects during awake craniotomy surgery and human newborns. Here we demonstrate the first successful fUS studies on awake pigeons subjected to auditory and visual stimulation. To allow successful fUS on pigeons we improved the temporal resolution of fUS up to 20,000 frames per second with real-time visualization and continuous recording. We show that this gain in temporal resolution significantly increases the sensitivity for detecting small fluctuations in cerebral blood flow and volume which may reflect increased local neural activity. Through this increased sensitivity we were able to capture the elaborate 3D neural activity pattern evoked by a complex stimulation pattern, such as a moving light source. By pushing the limits of fUS further, we have reaffirmed the enormous potential of this technique as a new standard in functional brain imaging with the capacity to unravel unknown, stimulus related hemodynamics with excellent spatiotemporal resolution with a wide field of view.