In this paper, we present the design and development of HarmonicThreads, a smart, cost-effective fabric augmented by generative machine learning algorithms to create music in real time according to the user's interaction. In this manner, we hypothesize that individuals with sensory differences could take advantage of the fabric's flexibility, the music will adapt according to users' interaction, and the affordable hardware we propose will make it more accessible. We follow a design thinking methodology using data from a multidisciplinary team in Mexico and the United States. Then we will close this paper by discussing challenges in developing accessible smart fabrics in different contexts.
Ellie Nguyen, Daisy Z. Fernandez-Reyes, and Franceli L. Cibrian. Furthering Development of Smart Fabrics to Improve the Accessibility of Music Therapy. In UbiComp/ISWC '23 Adjunct: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing. Association for Computing Machinery, Cancun, Quintana Roo, Mexico (pp. 400-403). https://doi.org/10.1145/3594739.3610727
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