Insight problem solving is hindered by automated verbal–conceptual processes. Because mindfulness meditation training aims at “nonconceptual awareness” which involves a reduced influence of habitual verbal–conceptual processes on the interpretation of ongoing experience, mindfulness may facilitate insight problem solving. This hypothesis was examined across two studies . Participants in both studies completed a measure of trait mindfulness and a series of insight and noninsight problems. Further, participants in Study 2 completed measures of positive affect and a mindfulness or control training. The (...) results indicated that trait mindfulness predicts better insight but not noninsight problem solving , this relation is maintained when controlling for positive affect , mindfulness training improves insight but not noninsight problem solving and this improvement is partially mediated by state mindfulness . These findings are the first to document a direct relation between mindfulness and creativity. (shrink)

Mindfulness is examined using the Abhidhamma system of classification of phenomena (dharmas) as found in the Pali work Abhidhammattha-saṅgaha. In this model the mental factors constituting the aggregate of formations (saṅkhāra) are grouped so as to describe a layered approach to the practice of mental development. Thus all mental states involve a certain set of mental factors, while others are added as the training of the mind takes place. Both unwholesome and wholesome configurations also occur, and mindfulness turns out to (...) be a rather advanced state of wholesome constructed experience. Wisdom, the prime transformative factor in Buddhist thought and practice, arises only under special conditions. This system is then contrasted with the different parsing of phenomena presented in the Sanskrit Abhidharmakośa, where both mindfulness and wisdom are counted among the universal factors, which provides a basis for an innatist model of development; this is then critiqued from a constructivist perspective. (shrink)

A surfeit of research confirms that people activate personal, affective, and conceptual representations when perceiving the states of others. However, researchers continue to debate the role of self–other overlap in empathy due to a failure to dissociate neural overlap, subjective resonance, and personal distress. A perception–action view posits that neural-level overlap is necessary during early processing for all social understanding, but need not be conscious or aversive. This neural overlap can subsequently produce a variety of states depending on the context (...) and degree of common experience and emotionality. We outline a framework for understanding the interrelationship between neural and subjective overlap, and among empathic states, through a dynamic-systems view of how information is processed in the brain and body. (shrink)

Objective: Mindfulness disposition is associated with various psychological factors and prevent emotional distress in chronic diseases. In the present study, we analyzed the key role of mindfulness dispositions in protecting the individual against psychological distress consequent to COVID-19 social distancing and quarantining. Methods: An online survey was launched on March 13, 2020, with 6,412 responses by April 6, 2020. Socio-demographic information, exposure to the pandemic, and quarantining were assessed together with psychological distress and mindfulness disposition. Multivariate linear regression analysis was (...) performed to study the influence of predictive factors on psychological distress and quality of life in Italian responders during the early days of lockdown. Pearson correlations were calculated to study the relations between mindfulness and psychiatric symptoms. Results: Multivariate linear regression run on socio-demographics, COVID-19-related variables, and mindfulness disposition as moderators of overall psychological distress showed that mindfulness was the best predictor of psychological distress (β = -0.504; p =.000). High negative correlations were found between mindfulness disposition and overall Global Severity Index (r = -.637; p =.000), while moderate to high associations were found between mindfulness and all SCL-90 sub-scales. Discussion: Findings showed that high dispositional mindfulness enhances well-being and helps in dealing with stressful situations such as the COVID-19 pandemic. Mindfulness-based mental training could represent an effective intervention to stem the post-traumatic psychopathological beginnings and preventing the onset of chronic mental disorders. (shrink)

Recent controversies about the level of replicability of behavioral research analyzed using statistical inference have cast interest in developing more efficient techniques for analyzing the results of psychological experiments. Here we claim that complementing the analytical workflow of psychological experiments with Machine Learning-based analysis will both maximize accuracy and minimize replicability issues. As compared to statistical inference, ML analysis of experimental data is model agnostic and primarily focused on prediction rather than inference. We also highlight some potential pitfalls resulting from (...) adoption of Machine Learning based experiment analysis. If not properly used it can lead to over-optimistic accuracy estimates similarly observed using statistical inference. Remedies to such pitfalls are also presented such and building model based on cross validation and the use of ensemble models. ML models are typically regarded as black boxes and we will discuss strategies aimed at rendering more transparent the predictions. (shrink)