Proceedings of the 3rd International Symposium on Movement and Computing 2016
DOI: 10.1145/2948910.2948960
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Using Interactive Machine Learning to Sonify Visually Impaired Dancers' Movement

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Cited by 6 publications
(5 citation statements)
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“…In an artistic context, sonification can also be used as creative interaction tool to shape movement expression and to produce sound compositions through body movement, which can then be used to stimulate new movement (Landry and Jeon, 2020). Katan (2016) reports on a workshop with three dancers with visual impairment in which the benefits of movement sonification for communication and joint movement were examined. Afterwards, all dancers stated that they enjoyed controlling sound through movement and that they felt encouraged to try new things, however, it did not improve movement comprehension or mutual understanding.…”
Section: Dance Made Audible By Means Of Technologymentioning
confidence: 99%
See 1 more Smart Citation
“…In an artistic context, sonification can also be used as creative interaction tool to shape movement expression and to produce sound compositions through body movement, which can then be used to stimulate new movement (Landry and Jeon, 2020). Katan (2016) reports on a workshop with three dancers with visual impairment in which the benefits of movement sonification for communication and joint movement were examined. Afterwards, all dancers stated that they enjoyed controlling sound through movement and that they felt encouraged to try new things, however, it did not improve movement comprehension or mutual understanding.…”
Section: Dance Made Audible By Means Of Technologymentioning
confidence: 99%
“…Sonification of dance (and related human movement) has been studied intensively, however, only a small part of this research has been carried out with a non-sighted audience in mind (e.g., Katan, 2016). Investigating this topic systematically could help to gain insights that could establish sonification as a tool for augmenting dance performance.…”
Section: Second Field Of Study: Dance and Movement Sonificationmentioning
confidence: 99%
“…There has been a recent resurgence in the dancer sonification literature in the past decade (Alborno et al, 2016;de Quay, Skogstad, & Jensenius, 2011;Effenberg, Melzer, Weber, & Zinke, 2005;Ferguson & Beilharz, 2009;Fox & Carlile, 2005;Frid, Elblaus, & Bresin, 2016;Goina & Polotti, 2008;Großhauser, Bläsing, Spieth, & Hermann, 2012;Hermann, Höner, & Ritter, 2005;Kapur, Tzanetakis, Virji-Babul, Wang, & Cook, 2005;Katan, 2016;Lindborg, 2016;Mironcika, Pek, Franse, & Shu, 2016;Naveda & Leman, 2008;Salter, Baalman, & Moody-Grigsby, 2007;R. M. Winters et al, 2012;Yamaguchi & Kadone, 2017).…”
Section: Dancer Sonification Systemsmentioning
confidence: 99%
“…Table 1 reports a list of existing studies on sonification techniques for dance. Many of them, e.g., [1,5,25,26,31], only considered low-level movement features (i.e., at the level of motion capture data, wearable sensors, video, and so on) and mapped them into sound. Studies that proposed sonification models to translate higher-level movement features are less common.…”
Section: Related Workmentioning
confidence: 99%