Personalized Music Therapy Information System Based on Algorithmic Composition in the Treatment of Autism Spectrum Disorder

Chaoguang Wang; Lusha Huang

doi:10.1007/978-3-031-35681-0_44

Personalized Music Therapy Information System Based on Algorithmic Composition in the Treatment of Autism Spectrum Disorder

Chaoguang Wang, Lusha Huang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

We utilize information technology, especially artificial intelligence algorithms and computer music techniques, to enhance the emotional understanding abilities of children with autism. The proposed information system includes a machine composition engine, a music therapy app, and a music database for coping with autism. First, we will develop a machine composition engine to provide the effective, economic, and personalized music therapy for autistic children. Music therapy has been validated as helpful for autism, and it is very suitable for children with limitations in physical activity and functional fitness. The music generated explicitly for recognizing and understanding certain emotions will have a much better curative effect by considering the preference and the situation of individuals. In addition, the usage of artificial intelligence will largely reduce the cost and time of music composition. Second, we plan to develop a musical therapy app that is child friendly. We will consider the special needs of the children, such as the size of the font, in mobile application design. It will provide a joyful and engaging way for children to relieve autism and benefit their psychological well-being and quality of life. Finally, we will build a large-scale music database for the free usage of the public and promote our service to the world. The research will provide an effective, low-cost, and personalized music therapy information system that directly benefits children with autism and their families by improving their emotional understanding, and informing the development of upcoming products and services, especially artificial intelligence technology.

Original language	English
Title of host publication	Universal Access in Human-Computer Interaction
Subtitle of host publication	17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
Editors	Margherita Antona, Constantine Stephanidis
Publisher	Springer, Cham
Pages	678-686
Number of pages	9
Volume	14020
ISBN (Electronic)	9783031356810
ISBN (Print)	9783031356803
DOIs	https://doi.org/10.1007/978-3-031-35681-0_44
Publication status	Published - 1 Jul 2023
Externally published	Yes
Event	17th International Conference on Universal Access in Human-Computer Interaction, held as part of the 25th International Conference on Human-Computer Interaction, - Copenhagen, Denmark Duration: 23 Jul 2023 → 28 Jul 2023 Conference number: 17

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer
Volume	14020 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Universal Access in Human-Computer Interaction, held as part of the 25th International Conference on Human-Computer Interaction,
Abbreviated title	UAHCI / HCII 2023
Country/Territory	Denmark
City	Copenhagen
Period	23/07/23 → 28/07/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-35681-0_44Licence: Unspecified

Cite this

Wang, C., & Huang, L. (2023). Personalized Music Therapy Information System Based on Algorithmic Composition in the Treatment of Autism Spectrum Disorder. In M. Antona, & C. Stephanidis (Eds.), Universal Access in Human-Computer Interaction : 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings (Vol. 14020, pp. 678-686). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14020 LNCS). Springer, Cham. https://doi.org/10.1007/978-3-031-35681-0_44

Wang, Chaoguang ; Huang, Lusha. / Personalized Music Therapy Information System Based on Algorithmic Composition in the Treatment of Autism Spectrum Disorder. Universal Access in Human-Computer Interaction : 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. editor / Margherita Antona ; Constantine Stephanidis. Vol. 14020 Springer, Cham, 2023. pp. 678-686 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0da8030869d44c01adf9202a5680b80c,

title = "Personalized Music Therapy Information System Based on Algorithmic Composition in the Treatment of Autism Spectrum Disorder",

abstract = "We utilize information technology, especially artificial intelligence algorithms and computer music techniques, to enhance the emotional understanding abilities of children with autism. The proposed information system includes a machine composition engine, a music therapy app, and a music database for coping with autism. First, we will develop a machine composition engine to provide the effective, economic, and personalized music therapy for autistic children. Music therapy has been validated as helpful for autism, and it is very suitable for children with limitations in physical activity and functional fitness. The music generated explicitly for recognizing and understanding certain emotions will have a much better curative effect by considering the preference and the situation of individuals. In addition, the usage of artificial intelligence will largely reduce the cost and time of music composition. Second, we plan to develop a musical therapy app that is child friendly. We will consider the special needs of the children, such as the size of the font, in mobile application design. It will provide a joyful and engaging way for children to relieve autism and benefit their psychological well-being and quality of life. Finally, we will build a large-scale music database for the free usage of the public and promote our service to the world. The research will provide an effective, low-cost, and personalized music therapy information system that directly benefits children with autism and their families by improving their emotional understanding, and informing the development of upcoming products and services, especially artificial intelligence technology.",

keywords = "Algorithmic Composition, Autism Spectrum Disorder, Emotional Understanding",

author = "Chaoguang Wang and Lusha Huang",

note = "Funding Information: This study was supported by the grant of “Research on the Designing the Mobile Phone Interaction Experience for People with Visually Impairments in 5G era” (Ref No.: 2021WQNCX034) from the Guangdong Province Colleges and Universities Young Innovative Talent Project, the grant of “Game Mechanic and Element for Predicting Game Addiction of Adolescents in Guangdong Province” (Ref No.: 2021GXJK480) from the 2021 Education Science Planned Project (Special Project for Higher Education) in Guangdong Province, and has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sk{\l}odowska-Curie grant agreement No 900025 (CfACTs). Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 17th International Conference on Universal Access in Human-Computer Interaction, held as part of the 25th International Conference on Human-Computer Interaction, , UAHCI / HCII 2023 ; Conference date: 23-07-2023 Through 28-07-2023",

year = "2023",

month = jul,

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doi = "10.1007/978-3-031-35681-0_44",

language = "English",

isbn = "9783031356803",

volume = "14020",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer, Cham",

pages = "678--686",

editor = "Margherita Antona and Constantine Stephanidis",

booktitle = "Universal Access in Human-Computer Interaction",

address = "Switzerland",

}

Wang, C & Huang, L 2023, Personalized Music Therapy Information System Based on Algorithmic Composition in the Treatment of Autism Spectrum Disorder. in M Antona & C Stephanidis (eds), Universal Access in Human-Computer Interaction : 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. vol. 14020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14020 LNCS, Springer, Cham, pp. 678-686, 17th International Conference on Universal Access in Human-Computer Interaction, held as part of the 25th International Conference on Human-Computer Interaction, , Copenhagen, Denmark, 23/07/23. https://doi.org/10.1007/978-3-031-35681-0_44

Personalized Music Therapy Information System Based on Algorithmic Composition in the Treatment of Autism Spectrum Disorder. / Wang, Chaoguang; Huang, Lusha.

Universal Access in Human-Computer Interaction : 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. ed. / Margherita Antona; Constantine Stephanidis. Vol. 14020 Springer, Cham, 2023. p. 678-686 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14020 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Personalized Music Therapy Information System Based on Algorithmic Composition in the Treatment of Autism Spectrum Disorder

AU - Wang, Chaoguang

AU - Huang, Lusha

N1 - Conference code: 17

PY - 2023/7/1

Y1 - 2023/7/1

N2 - We utilize information technology, especially artificial intelligence algorithms and computer music techniques, to enhance the emotional understanding abilities of children with autism. The proposed information system includes a machine composition engine, a music therapy app, and a music database for coping with autism. First, we will develop a machine composition engine to provide the effective, economic, and personalized music therapy for autistic children. Music therapy has been validated as helpful for autism, and it is very suitable for children with limitations in physical activity and functional fitness. The music generated explicitly for recognizing and understanding certain emotions will have a much better curative effect by considering the preference and the situation of individuals. In addition, the usage of artificial intelligence will largely reduce the cost and time of music composition. Second, we plan to develop a musical therapy app that is child friendly. We will consider the special needs of the children, such as the size of the font, in mobile application design. It will provide a joyful and engaging way for children to relieve autism and benefit their psychological well-being and quality of life. Finally, we will build a large-scale music database for the free usage of the public and promote our service to the world. The research will provide an effective, low-cost, and personalized music therapy information system that directly benefits children with autism and their families by improving their emotional understanding, and informing the development of upcoming products and services, especially artificial intelligence technology.

AB - We utilize information technology, especially artificial intelligence algorithms and computer music techniques, to enhance the emotional understanding abilities of children with autism. The proposed information system includes a machine composition engine, a music therapy app, and a music database for coping with autism. First, we will develop a machine composition engine to provide the effective, economic, and personalized music therapy for autistic children. Music therapy has been validated as helpful for autism, and it is very suitable for children with limitations in physical activity and functional fitness. The music generated explicitly for recognizing and understanding certain emotions will have a much better curative effect by considering the preference and the situation of individuals. In addition, the usage of artificial intelligence will largely reduce the cost and time of music composition. Second, we plan to develop a musical therapy app that is child friendly. We will consider the special needs of the children, such as the size of the font, in mobile application design. It will provide a joyful and engaging way for children to relieve autism and benefit their psychological well-being and quality of life. Finally, we will build a large-scale music database for the free usage of the public and promote our service to the world. The research will provide an effective, low-cost, and personalized music therapy information system that directly benefits children with autism and their families by improving their emotional understanding, and informing the development of upcoming products and services, especially artificial intelligence technology.

KW - Algorithmic Composition

KW - Autism Spectrum Disorder

KW - Emotional Understanding

UR - http://www.scopus.com/inward/record.url?scp=85169010906&partnerID=8YFLogxK

UR - https://doi.org/10.1007/978-3-031-35681-0

U2 - 10.1007/978-3-031-35681-0_44

DO - 10.1007/978-3-031-35681-0_44

M3 - Conference contribution

AN - SCOPUS:85169010906

SN - 9783031356803

VL - 14020

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 678

EP - 686

BT - Universal Access in Human-Computer Interaction

A2 - Antona, Margherita

A2 - Stephanidis, Constantine

PB - Springer, Cham

T2 - 17th International Conference on Universal Access in Human-Computer Interaction, held as part of the 25th International Conference on Human-Computer Interaction,

Y2 - 23 July 2023 through 28 July 2023

ER -

Wang C, Huang L. Personalized Music Therapy Information System Based on Algorithmic Composition in the Treatment of Autism Spectrum Disorder. In Antona M, Stephanidis C, editors, Universal Access in Human-Computer Interaction : 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. Vol. 14020. Springer, Cham. 2023. p. 678-686. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-35681-0_44

Personalized Music Therapy Information System Based on Algorithmic Composition in the Treatment of Autism Spectrum Disorder

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UN SDGs

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