2021
DOI: 10.1177/2059204321997709
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Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being

Abstract: The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop “Music, Computing, and Health” was held to discuss best practices and state-of-the-art at the intersection of these areas with researchers from music psychology and neuroscience, music therapy, music information retrieval, music technology, medical technology (medt… Show more

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Cited by 49 publications
(48 citation statements)
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“…It is possible that the co-created resources may have been more motivating and effective for the participants than generic music resources (such as automatically generated playlist or commercial guided relaxation tracks). Likewise, there is increased interest in the field of music therapy to use technology to promote musical engagement in everyday life in order to enhance client agency and well-being outside the therapeutic context ( 41 , 54 ).…”
Section: Discussionmentioning
confidence: 99%
“…It is possible that the co-created resources may have been more motivating and effective for the participants than generic music resources (such as automatically generated playlist or commercial guided relaxation tracks). Likewise, there is increased interest in the field of music therapy to use technology to promote musical engagement in everyday life in order to enhance client agency and well-being outside the therapeutic context ( 41 , 54 ).…”
Section: Discussionmentioning
confidence: 99%
“…In the context of this paper, the use-case for our dataset is to produce personalized models -a central topic in the field of Affective Computing [31,32]. Given the subjective nature of emotions and the typical low agreement across annotations [17], it is reasonable to train models exclusively with the annotations from a particular person.…”
Section: Personalized Mer Modelsmentioning
confidence: 99%
“…Before entering the era of big data, classification based on style, emotion, genre, and song theme was carried out manually. Although the accuracy can meet the requirements, it is inefficient and the cost of manpower and time is huge [13]. And with the development of data explosion, labor has been increasingly unable to keep up with the growth of data.…”
Section: Related Workmentioning
confidence: 99%