Beyond words: Relationships between emoji use, attachment style, and emotional intelligence.

Assessing the relationships between emoji use and traits related to communication and interpersonal skills can provide insights into who employs emojis and the psychological mechanisms underlying computer-mediated communications. This online study investigated associations between emoji use frequency, attachment style, and emotional intelligence across genders and relationship types in a Mechanical Turk sample of 320 adults (≥18y; 191 women, 123 men, and 4 transgender individuals). Correlational analyses showed that emotional intelligence was positively related to emoji use with friends, while avoidant attachment was negatively related to emoji use with friends and dating or romantic partners.

Exploring patterns in mental health treatment and interests of single adults in the United States: a secondary data analysis.

Objective: The objective of this study is to examine mental health treatment utilization and interest among the large and growing demographic of single adults in the United States, who face unique societal stressors and pressures that may contribute to their heightened need for mental healthcare.

Method: We analyzed data from 3,453 single adults, focusing on those with possible mental health treatment needs by excluding those with positive self-assessments. We assessed prevalence and sociodemographic correlates of mental health treatment, including psychotherapy and psychiatric medication use, and interest in attending psychotherapy among participants who had never attended.

Foundations of Erobotics.

Technology is giving rise to artificial erotic agents, which we call ( + bot). Erobots, such as virtual or augmented partners, erotic chatbots, and sex robots, increasingly expose humans to the possibility of intimacy and sexuality with artificial agents. Their advent has sparked academic and public debates: some denounce their risks (e.

Different Patterns of Sleep-Dependent Procedural Memory Consolidation in Vipassana Meditation Practitioners and Non-meditating Controls.

Aim: Rapid eye movement (REM) sleep, non-rapid eye movement (NREM) sleep, and sleep spindles are all implicated in the consolidation of procedural memories. Relative contributions of sleep stages and sleep spindles were previously shown to depend on individual differences in task processing. However, no studies to our knowledge have focused on individual differences in experience with Vipassana meditation as related to sleep.

Sleep-dependent consolidation of face recognition and its relationship to REM sleep duration, REM density and Stage 2 sleep spindles.

Face recognition is a highly specialized capability that has implicit and explicit memory components. Studies show that learning tasks with facial components are dependent on rapid eye movement and non-rapid eye movement sleep features, including rapid eye movement sleep density and fast sleep spindles. This study aimed to investigate the relationship between sleep-dependent consolidation of memory for faces and partial rapid eye movement sleep deprivation, rapid eye movement density, and fast and slow non-rapid eye movement sleep spindles.