The Relationship Between Demographics, Behavioral and Experiential Engagement Factors, and the Use of Artistic Creative Activities to Regulate Emotions

There has been increasing interest in the role of artistic creative activities in supporting emotion regulation. However, there is little research about how demographic factors (such as age, gender, ethnicity, personality, and socioeconomic status) or factors relating to creative engagement (including engagement behaviors and subjective experience of engagement) influence our ability to use artistic creative activities to regulate our emotions. We analyzed data from 40,949 adults and used a structural equation modeling approach to model the relationships among demographic factors, factors relating to engagement, and our use of emotion regulation strategies (ERSs) while engaging in artistic creative activities. We found that women make more use of creative activities to regulate their emotions than do men, as do those of lower socioeconomic status. Training in doing an artistic activity, regular engagement, and enjoyment while engaging are all associated with a greater ability to use artistic activities to regulate our emotions. We also identified relationships between demographic and engagement factors and specific types of ERSs, such as avoidance strategies (e.g., distraction, suppression, or detachment from negative or stressful emotions), approach strategies (e.g., acceptance, reappraisal and problem solving), and self-development strategies (e.g., enhanced self-identity, improved self-esteem, and increased agency). Artistic creative activities are increasingly being recognized as effective ways of regulating emotional responses. Overall, this study provides insight into the interrelationship between individual attributes, modifiable patterns of engagement and emotion regulation when engaging in artistic activitie

Music@Home: a novel instrument to assess the home musical environment in the early years

The majority of children under the age of 5 appear to show spontaneous enjoyment of singing, being exposed to music and interacting with musical instruments, but whether variations in engaging in such activities in the home could contribute to developmental outcomes is still largely unknown. Critically, researchers lack a comprehensive instrument with good psychometric properties to assess the home musical environment from infancy to the preschool years. To address this gap, this paper presents two studies that describe the development and validation of the Music@Home questionnaire, which comprises two versions: Infant and Preschool. In Study 1, an initial pool of items was generated and administered to a wide audience of parents (n = 287 for the Infant, n = 347 for the Preschool version). Exploratory factor analysis was used to identify different dimensions comprising the home musical environment of both infants and pre-schoolers, and to reduce the initial pool of items to a smaller number of meaningful items. In Study 2, convergent and divergent validity and internal and test-retest reliability of the new instrument were established, using data from a different sample of participants (n = 213 for the Infant, n = 213 for the Preschool version). The second study also investigated associations between the Music@Home and musical characteristics of the parents, such as their musical education and personal engagement with music. Overall, the Music@Home constitutes a novel, valid and reliable instrument that allows for the systematic assessment of distinct aspects of the home musical environment in families with children under the age of 5. Furthermore, the Infant and Preschool versions of the Music@Home present differential associations with musical characteristics of the parents opening a new area of inquiry into how musical exposure and interaction in the home may vary across different developmental stages

What makes babies musical? Conceptions of musicality in infants and toddlers

Despite major advances in research on musical ability in infants, relatively little attention has been paid to individual differences in general musicality in infants. A fundamental problem has been the lack of a clear definition of what constitutes “general musicality” or “musical ability” in infants and toddlers, resulting in a wide range of test procedures that rely on different models of musicality. However, musicality can be seen as a social construct that can take on different meanings across cultures, sub-groups, and individuals, and may be subject to change over time. Therefore, one way to get a clearer picture of infant musicality is to assess conceptions of musicality in the general population. Using this approach, we surveyed 174 German adults, asking about their view and conceptions regarding behaviors that characterize a musical child under 3 years. Based on previous studies on adult and child musicality, we designed a survey containing 41 statements describing musical behaviors in children. Participants were asked to rate how indicative these behaviors were of musicality in infants and toddlers. PCA analysis revealed 4 components of musical abilities and behaviors in under-3-year-olds: Musical Communication, Enthusiasm and Motivation, Adaptive Expressiveness, and Musical Abilities as traditionally defined. Professional background and musical expertise of the respondents did not significantly influence participants’ conceptions. Our results suggest that, in order to capture musicality in young children, a wider range of skills and observable behaviors should be taken into account than those assessed by traditional musical ability tests for young children

The German Music@Home: validation of a questionnaire measuring at home musical exposure and interaction of young children

The present study introduces the German version of the original version of the Music@Home questionnaire developed in the UK, which systematically evaluates musical engagement in the home environment of young children. Two versions are available, an Infant version for children aged three to 23 months and a Preschool version for children aged two to five and a half years. For the present study, the original Music@Home questionnaire was translated from English into German and 656 caregivers completed the questionnaire online. A confirmatory factor analysis showed moderate to high fit indices for both versions, confirming the factor structure of the original questionnaire. Also, the reliability coefficients for the subscales (Parental beliefs, Child engagement with music, Parent initiation of singing, Parent initiation of music-making for the Infant version and Parental beliefs, Child engagement with music, Parent initiation of music behavior and Breadth of musical exposure for the Preschool version) ranged from moderate to high fits. Furthermore, the test-retest analysis (N= 392) revealed high correlations for the general factor and all subscales confirming their internal reliability. Additionally, we included language questionnaires for children of two and three years of age. Results showed that higher scores on the Music@Home questionnaire were moderately associated with better language skills in two-year-olds (N= 118). In sum, the study presents the validated German Music@Home questionnaire, which shows good psychometric properties. The two versions of the questionnaire are available for use in order to assess home musical engagement of young children, which could be of interest in many areas of developmental research

Personality predicts musical sophistication

There is little research on the role of personality in musical expertise. We address this gap in the literature by using data from a large national study (N = 7,870) to examine how scores on 10 facets of the Big Five dimensions of personality predicted self-reported musical sophistication and performance on two behavioral tests (melodic memory and rhythm perception). Personality predicted musical sophistication even after controlling for demographic variables and musicianship, with Openness to Aesthetics the best trait predictor. Substance use also predicted musical sophistication for various subscales and the behavioral tests. These findings replicated in both musician and non-musician subgroups.The authors thank Robert R. McCrae for his helpful comments on an earlier draft. Data collection was made possible by the LabUK research unit of the British Broadcasting Corporation.This is the accepted manuscript of a paper published in the Journal of Research in Personality (Greenberg DM, Müllensiefen D, Lamb ME, Rentfrow PJ, Journal of Research in Personality, 2015, doi:10.1016/j.jrp.2015.06.002). The final version is available at http://dx.doi.org/10.1016/j.jrp.2015.06.00

What makes a child musical? Conceptions of musical ability in childhood

Tests of musical ability in children have relied on diverse conceptions of what musical abilities are. Recent investigations suggest that such conceptions can be seen as socially constructed and differ between cultures, sub-groups, and individuals. Based on a previous study on conceptions of adult musical ability, we designed a questionnaire targeting musical behaviours of 3–6-year-old children. 922 German adults who regularly spend time with children assessed how often a musical child would show these behaviours. Principal component analysis revealed four components of childhood musical ability: musical communication, enthusiasm and motivation, analytical understanding of music, and musical abilities in a narrow sense. The importance assigned to the components differed depending on musical expertise: Participants with higher expertise rated analytical music skills as significantly less important. Results suggest that ecologically valid tests of musical ability in childhood should cover a wide range of skills and observable behaviours

Testing beat perception without sensory cues to the beat: the Beat-Drop Alignment Test (BDAT)

Beat perception can serve as a window into internal time-keeping mechanisms, auditory–motor interactions, and aspects of cognition. One aspect of beat perception is the covert continuation of an internal pulse. Of the several popular tests of beat perception, none provide a satisfying test of this faculty of covert continuation. The current study proposes a new beat-perception test focused on covert pulse continuation: The Beat-Drop Alignment Test (BDAT). In this test, participants must identify the beat in musical excerpts and then judge whether a single probe falls on or off the beat. The probe occurs during a short break in the rhythmic components of the music when no rhythmic events are present, forcing participants to judge beat alignment relative to an internal pulse maintained in the absence of local acoustic timing cues. Here, we present two large (N > 100) tests of the BDAT. In the first, we explore the effect of test item parameters (e.g., probe displacement) on performance. In the second, we correlate scores on an adaptive version of the BDAT with the computerized adaptive Beat Alignment Test (CA-BAT) scores and indices of musical experience. Musical experience indices outperform CA-BAT score as a predictor of BDAT score, suggesting that the BDAT measures a distinct aspect of beat perception that is more experience-dependent and may draw on cognitive resources such as working memory and musical imagery differently than the BAT. The BDAT may prove useful in future behavioral and neural research on beat perception, and all stimuli and code are freely available for download

Symbolic Melodic Similarity: State of the Art and Future Challenges

Fostered by the introduction of the Music Information Retrieval Evaluation eXchange (MIREX) competition, the number of systems which calculate Symbolic Melodic Similarity has recently increased considerably. In order to understand the state of the art, we provide a comparative analysis of existing algorithms. The analysis is based on eight criteria that help characterising the systems, and highlighting strengths and weaknesses. We also propose a taxonomy which classifies algorithms based on their approach. Both taxonomy and criteria are fruitfully exploited for providing input for new forthcoming research in the area

Don't hide in the frames: Note- and pattern-based evaluation of automated melody extraction algorithms

International audienc

Corpus Analysis Tools for Computational Hook Discovery.

Compared to studies with symbolic music data, advances in music description from audio have overwhelmingly focused on ground truth reconstruction and maximizing prediction accuracy, with only a small fraction of studies using audio description to gain insight into musical data. We present a strategy for the corpus analysis of audio data that is optimized for interpretable results. The approach brings two previously unexplored concepts to the audio domain: audio bigram distributions, and the use of corpus-relative or 'second-order' descriptors. To test the real-world applicability of our method, we present an experiment in which we model song recognition data collected in a widely-played music game. By using the proposed corpus analysis pipeline we are able to present a cognitively adequate analysis that allows a model interpretation in terms of the listening history and experience of our participants. We find that our corpus-based audio features are able to explain a comparable amount of variance to symbolic features for this task when used alone and that they can supplement symbolic features profitably when the two types of features are used in tandem. Finally, we highlight new insights into what makes music recognizable