Decoding emotions in expressive music performances: A multi-lab replication and extension study

With over 560 citations reported on Google Scholar by April 2018, a publication by Juslin and Gabrielsson (1996) presented evidence supporting performers’ abilities to communicate, with high accuracy, their intended emotional expressions in music to listeners. Though there have been related studies published on this topic, there has yet to be a direct replication of this paper. A replication is warranted given the paper’s influence in the field and the implications of its results. The present experiment joins the recent replication effort by producing a five-lab replication using the original methodology. Expressive performances of seven emotions (e.g. happy, sad, angry, etc.) by professional musicians were recorded using the same three melodies from the original study. Participants (N?=?319) were presented with recordings and rated how well each emotion matched the emotional quality using a 0–10 scale. The same instruments from the original study (i.e. violin, voice, and flute) were used, with the addition of piano. In an effort to increase the accessibility of the experiment and allow for a more ecologically-valid environment, the recordings were presented using an internet-based survey platform. As an extension to the original study, this experiment investigated how musicality, emotional intelligence, and emotional contagion might explain individual differences in the decoding process. Results found overall high decoding accuracy (57%) when using emotion ratings aggregated for the sample of participants, similar to the method of analysis from the original study. However, when decoding accuracy was scored for each participant individually the average accuracy was much lower (31%). Unlike in the original study, the voice was found to be the most expressive instrument. Generalised Linear Mixed Effects Regression modelling revealed that musical training and emotional engagement with music positively influences emotion decoding accuracy.     

Influence of in utero exposure to maternal depression and natural disaster-related stress on infant temperament at 6 months: The children of Superstorm Sandy

This study examined the effects of in utero exposure to maternal depression and Superstorm Sandy, a hurricane that hit metropolitan New York in 2012, on infant temperament at 6 months. Temperament was assessed using the Infant Behavior Questionnaire-Revised. Maternal depression was measured by the Edinburgh Postnatal Depression Scale. The main effects and the interaction of maternal depression and Sandy exposure on infant temperament were examined using a multivariable generalized linear model. Results show that prenatal maternal depression was associated with lower emotion regulation and greater distress. Stratification and interaction analyses suggested that the adverse effects of prenatal maternal depression on problematic temperament were amplified by in utero Sandy exposure. This study underscores the importance of providing prenatal screening and treatment for maternal depression during pregnancy while also identifying high-risk families who may have suffered from disaster-related traumas to provide necessary services. As the frequency of natural disasters may increase due to climate change, it is important to understand the consequences of in utero stress on child development and to formulate plans for early identification.     

Gender Differences in Reactions to Mental Illness Labeling: The Role of Agency and Communion

Numerous individual characteristics influence responses to receiving a mental health diagnosis, including gender. This study sought to determine how gender influences reactions to being labeled as depressed or not depressed, which were categorized as falling into themes of communion or agency. Using the themes developed by Niedzwienska (2003), 168 college students’ responses to depression labels were coded as a part of a laboratory experiment. The results indicate that the expected sex differences do exist, but multivariate analyses indicate that the choice of communal themes was influenced by sex but the use of agency themes was not influenced by sex.     

Machine learning in suicide science: Applications and ethics

For decades, our ability to predict suicide has remained at near‐chance levels. Machine learning has recently emerged as a promising tool for advancing suicide science, particularly in the domain of suicide prediction. The present review provides an introduction to machine learning and its potential application to open questions in suicide research. Although only a few studies have implemented machine learning for suicide prediction, results to date indicate considerable improvement in accuracy and positive predictive value. Potential barriers to algorithm integration into clinical practice are discussed, as well as attendant ethical issues. Overall, machine learning approaches hold promise for accurate, scalable, and effective suicide risk detection; however, many critical questions and issues remain unexplored.     

You’re looking for what? Comparing search for familiar,nameable objects to search for unfamiliar,novel objects

Searching for items in one’s environment often includes considerable reliance on semantic knowledge. The present study examines the importance of semantic information in visual and memory search, especially with respect to whether the items reside in long-term or working memory. In Experiment 1, participants engaged in hybrid visual memory search for items that were either highly familiar or novel. Importantly, the relatively large number of targets in this hybrid search task necessitated that targets be stored in some form of long-term memory. We found that search for familiar objects was more efficient than search for novel objects. In Experiment 2, we investigated search for familiar versus novel objects when the number of targets was low enough to be stored in working memory. We also manipulated how often participants in Experiment 2 were required to update their target (every trial vs. every block) in order to control for target templates that were stored in long-term memory as a result of repeated exposure over trials. We found no differences in search efficiency for familiar versus novel objects when templates were stored in working memory. Our results suggest that while semantic information may provide additional individuating features that are useful for object recognition in hybrid search, this information could be irrelevant or even distracting when searching for targets stored in working memory.     

Take a break! Benefits of sleep and short breaks for daily work engagement

The current study investigates the benefits of a good night’s sleep and short work breaks for employees’ daily work engagement. It is hypothesized that sleep and self-initiated short breaks help restore energetic and self-regulatory resources which, in turn, enable employees to experience high work engagement. A daily diary study was conducted with 107 employees who provided data twice a day (before lunch and at the end of the working day) over 5 workdays (453 days in total). Multilevel regression analyses showed that sleep quality and short breaks were beneficial for employees’ daily work engagement. After nights employees slept better, they indicated higher work engagement during the day. Moreover, taking self-initiated short breaks from work in the afternoon boosted daily work engagement, whereas taking short breaks in the morning failed to predict daily work engagement. Taking short breaks did not compensate for impaired sleep with regard to daily work engagement. Overall, these findings suggest that recovery before and during work can foster employees’ daily work engagement.     

Mental Health Disparities,Treatment Engagement,and Attrition Among Racial/Ethnic Minorities with Severe Mental Illness: A Review

Mounting evidence indicates that there are mental health disparities in the United States that disadvantage racial/ethnic minorities in medical and mental health settings. Less is known, however, about how these findings apply to a particularly vulnerable population, individuals with severe mental illness (SMI). The aim of this paper is to (1) provide a critical review of the literature on racial/ethnic disparities in mental health care among individuals with SMI; (2) identify factors which may contribute to the observed disparities; and (3) generate recommendations on how best to address these disparities. Specifically, this article provides an in-depth review of sociocultural factors that may contribute to differences in treatment engagement and rates of attrition from treatment among racial/ethnic minorities with SMI who present at medical and mental health facilities. This review is followed by a discussion of specific strategies that may promote engagement in mental health services and therefore reduce racial/ethnic disparities in SMI.     

Robust representations of individual faces in chimpanzees (<Emphasis Type="Italic">Pan troglodytes</Emphasis>) but not monkeys (<Emphasis Type="Italic">Macaca mulatta</Emphasis>)

Being able to recognize the faces of our friends and family members no matter where we see them represents a substantial challenge for the visual system because the retinal image of a face can be degraded by both changes in the person (age, expression, pose, hairstyle, etc.) and changes in the viewing conditions (direction and degree of illumination). Yet most of us are able to recognize familiar people effortlessly. A popular theory for how face recognition is achieved has argued that the brain stabilizes facial appearance by building average representations that enhance diagnostic features that reliably vary between people while diluting features that vary between instances of the same person. This explains why people find it easier to recognize average images of people, created by averaging multiple images of the same person together, than single instances (i.e. photographs). Although this theory is gathering momentum in the psychological and computer sciences, there is no evidence of whether this mechanism represents a unique specialization for individual recognition in humans. Here we tested two species, chimpanzees (Pan troglodytes) and rhesus monkeys (Macaca mulatta), to determine whether average images of different familiar individuals were easier to discriminate than photographs of familiar individuals. Using a two-alternative forced-choice, match-to-sample procedure, we report a behaviour response profile that suggests chimpanzees encode the faces of conspecifics differently than rhesus monkeys and in a manner similar to humans.     

The Longitudinal Relationship Between Media Violence and Empathy: Was It Sympathy All Along?

Previous research with adolescents has reported a negative relationship between media violence and empathy. There are, however, two important conceptual issues in this earlier literature that deserve further research attention. First, studies often treat empathy as a one-dimensional construct while it consists of both an affective and cognitive component. Second, while aiming to measure empathy, several studies have measured sympathy instead. Driven by these concerns, this study was designed to investigate the longitudinal relationship between media violence, affective empathy, cognitive empathy, and sympathy. Using data from a two-wave panel study with 943 adolescents (10–14 years old), a cross-lagged model tested whether media violence exposure negatively influences empathy and sympathy (desensitization) or whether empathy and sympathy negatively influence media violence exposure (selection). Results were in line with desensitization. However, rather than showing that media violence leads to a decrease in empathy (which previous studies have shown), results indicate a decrease in sympathy instead. These findings provide clarification to existing work as well as offer methodological and practical implications.