Face masks influence emotion judgments of facial expressions: a drift-diffusion model.

Face masks slow the spread of SARS-CoV-2, but it has been unknown how masks might reshape social interaction. One important possibility is that masks may influence how individuals communicate emotion through facial expressions. Here, we clarify to what extent-and how-masks influence facial emotion communication, through drift-diffusion modeling (DDM). Over two independent pre-registered studies, conducted three and 6 months into the COVID-19 pandemic, online participants judged expressions of 6 emotions (anger, disgust, fear, happiness, sadness, surprise) with the lower or upper face "masked" or unmasked. Participants in Study 1 (N = 228) correctly identified expressions above chance with lower face masks. However, they were less likely-and slower-to correctly identify these expressions relative to without masks, and they accumulated evidence for emotion more slowly-via decreased drift rate in DDM. This pattern replicated and intensified 3 months later in Study 2 (N = 264). These findings highlight how effectively individuals still communicate with masks, but also explain why they can experience difficulties communicating when masked. By revealing evidence accumulation as the underlying mechanism, this work suggests that time-sensitive situations may risk miscommunication with masks. This research could inform critical interventions to promote continued mask wearing as needed.

Interpersonal emotion regulation: Implications for affiliation, perceived support, relationships, and well-being.

People often recruit social resources to manage their emotions, a phenomenon known as interpersonal emotion regulation (IER). Despite its importance, IER's psychological structure remains poorly understood. We propose that two key dimensions describe IER: (a) individuals' tendency to pursue IER in response to emotional events, and (b) the efficacy with which they perceive IER improves their emotional lives. To probe these dimensions, we developed the Interpersonal Regulation Questionnaire (IRQ), a valid and reliable measure of individual differences in IER. Factor analyses of participants' responses confirmed tendency and efficacy as independent dimensions of IER (Study 1; N = 285), and demonstrated independence between how individuals engage with IER in response to negative, versus positive, emotion. In Study 2 (N = 347), we found that individuals high in IER tendency and efficacy are more emotionally expressive, empathetic, and socially connected. Two subsequent studies highlighted behavioral consequences of IER dimensions: people high in IER tendency sought out others more often following experimentally induced emotion (Study 3; N = 400), and individuals high in IER efficacy benefitted more from social support after real-world emotional events (Study 4; N = 787). Finally, a field study of social networks in freshman dormitories revealed that individuals high in IER tendency and efficacy developed more supportive relationships during the first year of college (Study 5; N = 193). These data (a) identify distinct dimensions underlying IER, (b) demonstrate that these dimensions can be stably measured and separated from related constructs, and (c) reveal their implications for relationships and well-being. (PsycINFO Database Record

Interpersonal emotion regulation.

Contemporary emotion regulation research emphasizes intrapersonal processes such as cognitive reappraisal and expressive suppression, but people experiencing affect commonly choose not to go it alone. Instead, individuals often turn to others for help in shaping their affective lives. How and under what circumstances does such interpersonal regulation modulate emotional experience? Although scientists have examined allied phenomena such as social sharing, empathy, social support, and prosocial behavior for decades, there have been surprisingly few attempts to integrate these data into a single conceptual framework of interpersonal regulation. Here we propose such a framework. We first map a "space" differentiating classes of interpersonal regulation according to whether an individual uses an interpersonal regulatory episode to alter their own or another person's emotion. We then identify 2 types of processes--response-dependent and response-independent--that could support interpersonal regulation. This framework classifies an array of processes through which interpersonal contact fulfills regulatory goals. More broadly, it organizes diffuse, heretofore independent data on "pieces" of interpersonal regulation, and identifies growth points for this young and exciting research domain.

Disrupted expected value and prediction error signaling in youths with disruptive behavior disorders during a passive avoidance task.

OBJECTIVE: Youths with disruptive behavior disorders, including conduct disorder and oppositional defiant disorder, show major impairments in reinforcement-based decision making. However, the neural basis of these difficulties remains poorly understood. This partly reflects previous failures to differentiate responses during decision making and feedback processing and to take advantage of computational model-based functional MRI (fMRI). METHOD: Participants were 38 community youths ages 10-18 (20 had disruptive behavior disorders, and 18 were healthy comparison youths). Model-based fMRI was used to assess the computational processes involved in decision making and feedback processing in the ventromedial prefrontal cortex, insula, and caudate. RESULTS: Youths with disruptive behavior disorders showed reduced use of expected value information within the ventromedial prefrontal cortex when choosing to respond and within the anterior insula when choosing not to respond. In addition, they showed reduced responsiveness to positive prediction errors and increased responsiveness to negative prediction errors within the caudate during feedback. CONCLUSIONS: This study is the first to determine impairments in the use of expected value within the ventromedial prefrontal cortex and insula during choice and in prediction error-signaling within the caudate during feedback in youths with disruptive behavior disorders.

Reduced activity within the dorsal endogenous orienting of attention network to fearful expressions in youth with disruptive behavior disorders and psychopathic traits.

Using behavioral and blood oxygen level dependent (BOLD) response indices through functional magnetic resonance imaging (fMRI), the current study investigated whether youths with disruptive behavior disorders (conduct disorder and oppositional defiant disorder) plus psychopathic traits (DBD + PT) show aberrant sensitivity to eye gaze information generally and/or whether they show particular insensitivity to eye gaze information in the context of fearful expressions. The participants were 36 children and adolescents (ages 10-17 years); 17 had DBD + PT and 19 were healthy comparison subjects. Participants performed a spatial attention paradigm where spatial attention was cued by eye gaze in faces displaying fearful, angry, or neutral affect. Eye gaze sensitivity was indexed both behaviorally and as BOLD response. There were no group differences in behavioral response: both groups showed significantly faster responses if the target was in the congruent spatial direction indicated by eye gaze. Neither group showed a Congruence × Emotion interaction; neither group showed an advantage from the displayer's emotional expression behaviorally. However, the BOLD response revealed a significant Group × Congruence × Emotion interaction. The comparison youth showed increased activity within the dorsal endogenous orienting network (superior parietal lobule and inferior parietal sulcus) for fearful congruent relative to incongruent trials relative to the youth with DBD + PT. The results are discussed with reference to current models of DBD + PT and possible treatment innovations.