Wellbeing in and Through Performance: Perspectives From Sports and Music

Williamon, Aaron; Philippe, Roberta Antonini

doi:10.3389/fpsyg.2020.00399

Cited by 6 publications

(5 citation statements)

References 20 publications

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“…Mental or psychological preparation—which is still rarely used in the music world—seems to be an essential element in optimizing a musician’s potential and enabling them to resist pressure (Williamon & Antonini Philippe, 2020). Depending on the factors explained above, certain techniques and strategies can be underlined, such as the establishment of a work agenda to manage preparation and practice time and of an appropriate routine to coordinate the musician’s need to properly manage performance conditions.…”

Section: Conclusion and Practical Implicationsmentioning

confidence: 99%

“…Musical careers take place in very competitive settings, and musicians must face such stressful events as public performances, examinations, and music competitions, which often cause them music performance anxiety (MPA; Casanova et al, 2018). Anxiety and stress are common among musicians (Finch & Moscovitch, 2016; Juncos et al, 2017) and are risk factors to musicians’ well-being (Antonini Philippe et al, 2019; Antonini Philippe & Güsewell, 2016; Araújo et al, 2017; Williamon & Antonini Philippe, 2020).…”

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confidence: 99%

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Flow and music performance: Professional musicians and music students’ views

Philippe

Kosirnik

Ortuño

et al. 2021

Psychology of Music

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Performing music at the highest levels involves great competitiveness. When each performance represents a major personal challenge, success is no longer solely dependent on a high level of technical mastery: the psychological aspects of the performance also have a decisive impact. The concept of flow is presented as a phenomenon associated with significant improvements in the musician’s performance and well-being. This work explores musicians’ positive experiences in performance situations and studies the factors that promote the emergence of flow during competitions. Eleven musicians, both professionals and students, were interviewed to consider ways of promoting the emergence of flow that help them to produce high-quality performances. Our analysis revealed several different factors promoting the emergence of flow: social standing, performance preparation, connection to one’s body, awareness of skills and self-confidence, intrinsic motivation, attentional focus, and transcendence. These findings enhance our understanding of the conditions influencing the emergence of flow. We consider work pathways which might facilitate the emergence of flow experiences and thus help musicians to produce high-quality performances while protecting them from the harmful effects of stress and anxiety.

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Section: Conclusion and Practical Implicationsmentioning

confidence: 99%

mentioning

confidence: 99%

Flow and music performance: Professional musicians and music students’ views

Philippe

Kosirnik

Ortuño

et al. 2021

Psychology of Music

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“…It has recently been argued that the activities of athletes and musicians faced with similar challenges during the COVID-19 pandemic ( Williamon and Antonini Philippe, 2020 ). Generally speaking, optimal musical and sport performances must meet the social demands of competition and survive under pressure ( Craft et al, 2003 ).…”

Section: Introductionmentioning

confidence: 99%

Adaptation and destabilization of interpersonal relationships in sport and music during the Covid-19 lockdown

Philippe

Schiavio

Biasutti

2020

Heliyon

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The 2020 COVID-19 pandemic and the resulting imposition of physical distancing rules had consequences in the domains of music and sport. The present study sought to analyze how the COVID-19 lockdown period affected interpersonal relationships between music teachers and students and sports coaches and athletes. As part of a semi-structured interview, eighteen participants—six athletes and their three coaches and six musicians and their three teachers—were asked to recall how their interpersonal relationships evolved during the lockdown. Findings showed that these changes could be grouped into four dimensions: establishing a new relationship ; working on a new form for the relationship ; developing functional, positive adaptations; and developing non-adaptive, detached relationships . Findings also showed that members of the dyad gave meaning to their interpersonal relationship in a dynamic way, even over such a short time. There were some similarities between the experiences of musicians and athletes, highlighting the importance of a well-functioning dyad and good communication between the parties.

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“…Therefore, this exploration constructs a platform for an in-depth study of music recognition, which provides a new direction for the field of music recognition. Williamon and Antonini Philippe (2020) emphasized art, especially music, because performers in the two fields of sports and music must have a wide range of social and psychological needs, and the two have similarities. Harris and Küssner (2020) pointed out that social-emotional behavior was inextricably linked to our music experience.…”

Section: Introductionmentioning

confidence: 99%

Construction of Intelligent Recognition and Learning Education Platform of National Music Genre Under Deep Learning

2022

Front. Psychol.

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In order to study the application of the deep learning (DL) method in music genre recognition, this study introduces the music feature extraction method and the deep belief network (DBN) in DL and proposes the parameter extraction feature and the recognition classification method of an ethnic music genre based on the DBN with five kinds of ethnic musical instruments as the experimental objects. A national musical instrument recognition and classification network structure based on the DBN is proposed. On this basis, a music library classification retrieval learning platform has been established and tested. The results show that, when the DBN only contains one hidden layer and the number of neural nodes in the hidden layer is 117, the basic convergence accuracy is approximately 98%. The first hidden layer has the greatest impact on the prediction results. When the input sample feature size is one-third of the number of nodes in the first hidden layer, the network performance is basically convergent. The DBN is the best way for softmax to identify and classify national musical instruments, and the accuracy rate is 99.2%. Therefore, the proposed DL algorithm performs better in identifying music genres.

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Wellbeing in and Through Performance: Perspectives From Sports and Music

Cited by 6 publications

References 20 publications

Flow and music performance: Professional musicians and music students’ views

Flow and music performance: Professional musicians and music students’ views

Adaptation and destabilization of interpersonal relationships in sport and music during the Covid-19 lockdown

Construction of Intelligent Recognition and Learning Education Platform of National Music Genre Under Deep Learning

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