Browse
Submit Data
Databases
API
Help

Dataset Information

10 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The emotion storyboard: A method to examine social judgments of emotion.

ABSTRACT: As perceivers, we need to understand context to make social judgments about emotion, such as judging whether emotion is appropriate. We propose a graphic novel-like method, the emotion storyboard, for use in research on social judgments of emotion. Across two studies, participants were randomly assigned to read emotion storyboards or written vignettes to compare the efficacy of the emotion storyboard to that of vignettes in studies on social judgments of emotion. In Study 1, undergraduates (N = 194) answered comprehension questions and rated story clarity and immersion. Participants also made social judgments of emotion by rating main character emotion control and appropriateness of intensity. To further compare the efficacy of the methods, in Study 2, Amazon Mechanical Turk workers (N = 213) answered comprehension questions while response times were recorded, rated clarity, answered a race manipulation check, and rated main character emotion type appropriateness. Overall, emotion storyboards resulted in greater clarity ratings, greater race manipulation check accuracy, and in some instances, enhanced comprehension and comprehension response times relative to vignettes. In emotion storyboards, main character emotion was rated more controlled and more appropriate in intensity, but not different in emotion type appropriateness, than in vignettes. Overall, the method offers a new method of examining social elements of emotion that enhances comprehension and maximizes experimental efficiency.

SUBMITTER: McCormick-Huhn K

PROVIDER: S-EPMC8018665 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Modeling Music Emotion Judgments Using Machine Learning Methods.

Project description:Emotion judgments and five channels of physiological data were obtained from 60 participants listening to 60 music excerpts. Various machine learning (ML) methods were used to model the emotion judgments inclusive of neural networks, linear regression, and random forests. Input for models of perceived emotion consisted of audio features extracted from the music recordings. Input for models of felt emotion consisted of physiological features extracted from the physiological recordings. Models were trained and interpreted with consideration of the classic debate in music emotion between cognitivists and emotivists. Our models supported a hybrid position wherein emotion judgments were influenced by a combination of perceived and felt emotions. In comparing the different ML approaches that were used for modeling, we conclude that neural networks were optimal, yielding models that were flexible as well as interpretable. Inspection of a committee machine, encompassing an ensemble of networks, revealed that arousal judgments were predominantly influenced by felt emotion, whereas valence judgments were predominantly influenced by perceived emotion.

| S-EPMC5760560 | biostudies-literature

Blunted emotion judgments of body movements in Parkinson's disease.

Project description:Some of the behavioral disorders observed in Parkinson's disease (PD) may be related to an altered processing of social messages, including emotional expressions. Emotions conveyed by whole body movements may be difficult to generate and be detected by PD patients. The aim of the present study was to compare valence judgments of emotional whole body expressions in individuals with PD and in healthy controls matched for age, gender and education. Twenty-eight participants (13 PD patients and 15 healthy matched control participants) were asked to rate the emotional valence of short movies depicting emotional interactions between two human characters presented with the "Point Light Displays" technique. To ensure understanding of the perceived scene, participants were asked to briefly describe each of the evaluated movies. Patients' emotional valence evaluations were less intense than those of controls for both positive (p < 0.001) and negative (p < 0.001) emotional expressions, even though patients were able to correctly describe the depicted scene. Our results extend the previously observed impaired processing of emotional facial expressions to impaired processing of emotions expressed by body language. This study may support the hypothesis that PD affects the embodied simulation of emotional expression and the potentially involved mirror neuron system.

| S-EPMC8448734 | biostudies-literature

Decoding the Regulator: Accuracy and Bias in Emotion Regulation Judgments.

Project description:Accurately judging emotion regulation (ER) may help facilitate and maintain social relationships. We investigated the accuracy and bias of ER judgments and their social correlates in a two-part study with 136 married couples (ages 23-85 years). Couples completed trait measures of their own and their partner's suppression, reappraisal, and situation selection. On a separate day, they discussed a conflict, then rated their own and their partner's suppression during the discussion. Couples accurately judged their partner's trait level use of all ER strategies, but they were most accurate for suppression. In contrast, they did not accurately judge state suppression; they showed a similarity bias, such that their own use of state suppression predicted judgments of their partner's suppression. Greater relationship satisfaction predicted positive biases at the trait level (e.g., overestimating reappraisal, underestimating suppression), but not the state level. Relationship length did not predict ER accuracy or bias. Findings suggest ER is more detectable at the trait level than state level and for strategies with more behavioral cues. Greater relationship satisfaction may signal positive perceptions of partners' ER patterns.Supplementary informationThe online version contains supplementary material available at 10.1007/s42761-022-00144-3.

| S-EPMC9743848 | biostudies-literature

Social Validation Influences Individuals' Judgments about Ownership.

Project description:In all domains, from informal to formal, there are conflicts about property and ownership which resolution demands consideration of alleged claims from more than one party. In this work we asked adults (N = 359) to judge cases in which a character held a property claim over an item, but is challenged by a second character who holds a different, subsequent claim over it. The specific goal of this work is to investigate how the resolution of such conflicts depends on the social endorsement of ownership claims. To achieve this aim, we designed variations of conflictive situations over property in which we manipulated details regarding the knowledge of the second agent of other third-parties about the first agent's actions. In essence, our questions were: if an agent claims ownership of something which has a previous property claim on (1) does it matter whether said agent knew of the first's agent actions or not? And (2) does it matter whether third parties were aware or notified of the first one's claim? The results confirm that adults resolve the settling of property rights based not only on the nature of ownership claims but also on the social acknowledgment of such claims, in accordance with what is stipulated in legal systems worldwide. Participants considered the second character in the stories to hold a lesser right over the object under dispute when she knew of the first character's claim. Participants also considered that the first character's claim was reinforced when there were witnesses for her actions, but not when third parties were merely communicated of such actions. This is the first study to our knowledge that studies how social validation of ownership claims drives adults' judgments on property claims.

| S-EPMC5797628 | biostudies-literature

How social relationships shape moral wrongness judgments.

Project description:Judgments of whether an action is morally wrong depend on who is involved and the nature of their relationship. But how, when, and why social relationships shape moral judgments is not well understood. We provide evidence to address these questions, measuring cooperative expectations and moral wrongness judgments in the context of common social relationships such as romantic partners, housemates, and siblings. In a pre-registered study of 423 U.S. participants nationally representative for age, race, and gender, we show that people normatively expect different relationships to serve cooperative functions of care, hierarchy, reciprocity, and mating to varying degrees. In a second pre-registered study of 1,320 U.S. participants, these relationship-specific cooperative expectations (i.e., relational norms) enable highly precise out-of-sample predictions about the perceived moral wrongness of actions in the context of particular relationships. In this work, we show that this 'relational norms' model better predicts patterns of moral wrongness judgments across relationships than alternative models based on genetic relatedness, social closeness, or interdependence, demonstrating how the perceived morality of actions depends not only on the actions themselves, but also on the relational context in which those actions occur.

| S-EPMC8486868 | biostudies-literature

Social evaluations under conflict: negative judgments of conflicting information are easier than positive judgments.

Project description:In the current study, we used functional magnetic resonance imaging to investigate how the brain facilitates social judgments despite evaluatively conflicting information. Participants learned consistent (positive or negative) and ambivalent (positive and negative) person information and were then asked to provide binary judgments of these targets in situations that either resolved conflict by prioritizing a subset of information or not. Self-report, decision time and brain data confirm that integrating contextual information into our evaluations of objects or people allows for nuanced (social) evaluations. The same mixed trait information elicited or failed to elicit evaluative conflict dependent on the situation. Crucially, we provide data suggesting that negative judgments are easier and may be considered the 'default' action when experiencing evaluative conflict: weaker activation in dorsolateral prefrontal cortex during trials of evaluative conflict was related to a greater likelihood of unfavorable judgments, and greater activation was related to more favorable judgments. Since negative outcome consequences are arguably more detrimental and salient, this finding supports the idea that additional regulation and a more active selection process are necessary to override an initial negative response to evaluatively conflicting information.

| S-EPMC6778826 | biostudies-literature

How Large Is the Role of Emotion in Judgments of Moral Dilemmas?

Project description:Moral dilemmas often pose dramatic and gut-wrenching emotional choices. It is now widely accepted that emotions are not simply experienced alongside people's judgments about moral dilemmas, but that our affective processes play a central role in determining those judgments. However, much of the evidence purporting to demonstrate the connection between people's emotional responses and their judgments about moral dilemmas has recently been called into question. In the present studies, we reexamined the role of emotion in people's judgments about moral dilemmas using a validated self-report measure of emotion. We measured participants' specific emotional responses to moral dilemmas and, although we found that moral dilemmas evoked strong emotional responses, we found that these responses were only weakly correlated with participants' moral judgments. We argue that the purportedly strong connection between emotion and judgments of moral dilemmas may have been overestimated.

| S-EPMC4934695 | biostudies-literature

"Grumpy" or "furious"? arousal of emotion labels influences judgments of facial expressions.

Project description:Whether language information influences recognition of emotion from facial expressions remains the subject of debate. The current studies investigate how variations in emotion labels that are paired with expressions influences participants' judgments of the emotion displayed. Static (Study 1) and dynamic (Study 2) facial expressions depicting eight emotion categories were paired with emotion labels that systematically varied in arousal (low and high). Participants rated the arousal, valence, and dominance of expressions paired with labels. Isolated faces and isolated labels were also rated. As predicted, the label presented influenced participants' judgments of the expressions. Across both studies, higher arousal labels were associated with: 1) higher ratings of arousal for sad, angry, and scared expressions, and 2) higher ratings of dominance for angry, proud, and disgust expressions. These results indicate that emotion labels influence judgments of facial expressions.

| S-EPMC7329125 | biostudies-literature

Incidental haptic sensations influence social judgments and decisions.

Project description:Touch is both the first sense to develop and a critical means of information acquisition and environmental manipulation. Physical touch experiences may create an ontological scaffold for the development of intrapersonal and interpersonal conceptual and metaphorical knowledge, as well as a springboard for the application of this knowledge. In six experiments, holding heavy or light clipboards, solving rough or smooth puzzles, and touching hard or soft objects nonconsciously influenced impressions and decisions formed about unrelated people and situations. Among other effects, heavy objects made job candidates appear more important, rough objects made social interactions appear more difficult, and hard objects increased rigidity in negotiations. Basic tactile sensations are thus shown to influence higher social cognitive processing in dimension-specific and metaphor-specific ways.

| S-EPMC3005631 | biostudies-literature

The modular neuroarchitecture of social judgments on faces.

Project description:Face-derived information on trustworthiness and attractiveness crucially influences social interaction. It is, however, unclear to what degree the functional neuroanatomy of these complex social judgments on faces reflects genuine social versus basic emotional and cognitive processing. To disentangle social from nonsocial contributions, we assessed commonalities and differences between the functional networks activated by judging social (trustworthiness, attractiveness), emotional (happiness), and cognitive (age) facial traits. Relative to happiness and age evaluations, both trustworthiness and attractiveness judgments selectively activated the dorsomedial prefrontal cortex and inferior frontal gyrus, forming a core social cognition network. Moreover, they also elicited a higher amygdalar response than even the emotional control condition. Both social judgments differed, however, in their top-down modulation of face-sensitive regions: trustworthiness judgments recruited the posterior superior temporal sulcus, whereas attractiveness judgments recruited the fusiform gyrus. Social and emotional judgments converged and, therefore, likely interact in the ventromedial prefrontal cortex. Social and age judgments, on the other hand, commonly engaged the anterior insula, inferior parietal cortex, and dorsolateral prefrontal cortex, which appear to subserve more cognitive aspects in social evaluation. These findings demonstrate the modularity of social judgments on human faces by separating the neural correlates of social, face-specific, emotional, and cognitive processing facets.

| S-EPMC3450920 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data