Co-creative songwriting for bereavement support
Cheatley, Lee and Ackerman, Margareta and Pease, Alison and Moncur, Wendy; Cardoso, F. Amilcar and Machado, Penousal and Veale, Tony and Cunha, Joao Miguel, eds. (2020) Co-creative songwriting for bereavement support. In: Proceedings of the 11th International Conference on Computational Creativity. Association for Computational Creativity (ACC), Portugal, pp. 33-40. ISBN 978-989-54160-2-8
Preview |
Text.
Filename: Cheatley_etal_ICCC_2020_Co_creative_songwriting_for_bereavement.pdf
Final Published Version License: Download (2MB)| Preview |
Abstract
Self-expression is essential to processing our thoughts and feelings and is central to successful mental health therapy. Art therapy provides a wider range of expressive mechanisms than offered through traditional approaches, allowing individuals to process their emotions when traditional therapies prove unsuccessful. Yet, effective expression through art therapy may call on a level of artistic experience that is not available to all. As such, a lack of expertise or comfort with artistic expression may hinder one’s ability to receive needed mental health support. Creative machines can offer novel therapeutic approaches by offloading the need for creative expertise and opening up creative self-expression to those who lack the corresponding experience. In this paper, we focus on bereavement, and explore a co-creative songwriting system, ALYSIA, as a new form of therapy for those who had recently suffered the loss of a loved one. We evaluate the utility of this creative system in aiding bereaved individuals through several case studies. In addition, we discuss the utility of co-creative systems to the therapeutic context with potential application to a broad range of therapies.
ORCID iDs
Cheatley, Lee, Ackerman, Margareta, Pease, Alison and Moncur, Wendy ORCID: https://orcid.org/0000-0002-1485-4723; Cardoso, F. Amilcar, Machado, Penousal, Veale, Tony and Cunha, Joao Miguel-
-
Item type: Book Section ID code: 74368 Dates: DateEvent7 September 2020Published25 May 2020AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 27 Oct 2020 12:53 Last modified: 16 Dec 2024 01:12 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/74368