The development of emotion recognition from facial expressions and non‐linguistic vocalizations during childhood

Sensitivity to facial and vocal emotion is fundamental to children's social competence. Previous research has focused on children's facial emotion recognition, and few studies have investigated non‐linguistic vocal emotion processing in childhood. We compared facial and vocal emotion recognition and processing biases in 4‐ to 11‐year‐olds and adults. Eighty‐eight 4‐ to 11‐year‐olds and 21 adults participated. Participants viewed/listened to faces and voices (angry, happy, and sad) at three intensity levels (50%, 75%, and 100%). Non‐linguistic tones were used. For each modality, participants completed an emotion identification task. Accuracy and bias for each emotion and modality were compared across 4‐ to 5‐, 6‐ to 9‐ and 10‐ to 11‐year‐olds and adults. The results showed that children's emotion recognition improved with age; preschoolers were less accurate than other groups. Facial emotion recognition reached adult levels by 11 years, whereas vocal emotion recognition continued to develop in late childhood. Response bias decreased with age. For both modalities, sadness recognition was delayed across development relative to anger and happiness. The results demonstrate that developmental trajectories of emotion processing differ as a function of emotion type and stimulus modality. In addition, vocal emotion processing showed a more protracted developmental trajectory, compared to facial emotion processing. The results have important implications for programmes aiming to improve children's socio‐emotional competence.     

Eschatological companions: Christian hope in virtual worlds

ABSTRACT

The Christian faith is oriented around the hope that is found in the birth, life, death, resurrection and return of Jesus Christ, and this hope shapes Christian understandings of being human and human flourishing. What then might this Christian hope have to say about our technological developments and, in particular, how those shape our reflection on being human? Moreover, how do the various virtual worlds that we inhabit in continuity with our physical environment shape our thinking on bodies, gender, sexuality, identity and relationships? This article adds constructive theological reflection on technologically shape virtual worlds through the lens of Christian hope, moving beyond only eschatological dimensions to focus also on technological narratives of purpose and novelty and theological thinking around humanity, Christology and salvation. It is our contention that Christian hope provides a unifying theme for fruitful theological reflection on virtual worlds and our lives within them.     

Predictors of Suicidality Among Patients with Psychotic Disorders in a Partial Hospital Treatment Program

Individuals with psychotic disorders are at increased risk for suicidality. Demographic and clinical characteristics were compared in individuals with psychotic disorders reporting either high or low suicidality. Among this sample of 259 partial hospital patients, 116 (44.8%) were classified as high risk on the suicidality section of the Mini Neuropsychiatric Interview, and 143 (55.2%) were considered low risk. Bivariate analyses revealed that patients classified as high risk demonstrated greater depression severity, more relationship difficulties, greater emotional lability, and more substance use problems. A logistic regression model indicated that substance use was the most powerful predictor of higher levels of suicidality. Monitoring and intervention for substance use should be targeted as a particularly important aspect of treatment for acutely ill patients diagnosed with psychotic disorders.