La Sonificación como herramienta en Psicología
- 1 Departamento de Psicología, Universidad de Oviedo
ISSN: 1135-6855
Datum der Publikation: 2022
Ausgabe: 24
Nummer: 2
Seiten: 31-44
Art: Artikel
Andere Publikationen in: REMA
Zusammenfassung
Sonification is a representation and analysis tool that uses sound as conductor of a series of data. The transcription to frequency, intensity and timbre allows expressing different magnitudes and nuances of a set of observations. In this text, the fundamentals of the sonification will be shown, as well as its most common uses in psychology: motor learning, perceptual discrimination and representation of responses in certain pathologies that connect with the role of rhythm as essential factor in the organization of the organic. Through the compilation of the existing bibliography, sonification applications and their possibilities in other fields will be exposed. As an example, a simple conversion of the graphicrepresentation of a normal curve into its auditory version is proposed. As a final interpretation, the possibilities of sound as a methodological tool will be highlighted, opening interdisciplinary and multisensory paths in research.
Bibliographische Referenzen
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- Buehler, M. (2020). Nanomechanical sonification of the 2019-nCoV coronavirus spike protein through a materiomusical approach. ArXhiv.org. https://doi.org/10.48550/arXiv.2003.14258
- Burdick, K.J., Jorgensen, S.K., Combs, T.N., Holmberg, M.O., Kultgen, S.P. & Schlesinger, J.J. (2020)
- SAVIOR ICU: sonification and vibrotactile interface for the operating room and intensive care unit. Journal of Clinical Monitoring and Computing, 34 (4), 787-796. https://doi/10.1007/s10877-019-00381-1
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- Delogu, F., Belardinelli, M.O., Palmiero, M., Pasqualotto, E., Zhao, H., Plaisant, C. & Federici, S. (2006). Interactive sonification for blind people exploration of geo-referenced data: comparison between a keyboard exploration and a haptic-exploration interfaces. Cognitive Processing, 7, 178–179. https://doi.org/10.1007/s10339-006-0137-8
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- Yu, C. H., Qin, Z., Martin-Martinez, F. J. & Buehler, M.J. (2019). A self-consistent sonification method to translate amino acid sequences into musical compositions and application in protein design using AI. ACS Nano. 13(7), 7471–7482. https://doi.org/ 10.1021/acsnano.9b02180
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