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Blind wayfinding with physically-based liquid sounds

Blind wayfinding with physically-based liquid sounds

Titill: Blind wayfinding with physically-based liquid sounds
Höfundur: Spagnol, Simone
Hoffmann, Rebekka
Herrera Martínez, Marcelo
Unnthorsson, Runar   orcid.org/0000-0002-1960-0263
Útgáfa: 2018-07
Tungumál: Enska
Umfang: 9-19
Háskóli/Stofnun: Háskóli Íslands
University of Iceland
Svið: Verkfræði- og náttúruvísindasvið (HÍ)
School of Engineering and Natural Sciences (UI)
Heilbrigðisvísindasvið (HÍ)
School of Health Sciences (UI)
Deild: Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ)
Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI)
Sálfræðideild (HÍ)
Faculty of Psychology (UI)
Birtist í: International Journal of Human-Computer Studies;115
ISSN: 1071-5819
DOI: 10.1016/j.ijhcs.2018.02.002
Efnisorð: Sensory substitution; Sonification; Electronic travel aid; Physical sound model; Sjón; Heyrn; Skynjun; Vélaverkfræði; Hugbúnaður
URI: https://hdl.handle.net/20.500.11815/702

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Spagnol, S., Hoffmann, R., Herrera Martínez, M., & Unnthorsson, R. (2018). Blind wayfinding with physically-based liquid sounds. International Journal of Human-Computer Studies, 115, 9-19. doi:https://doi.org/10.1016/j.ijhcs.2018.02.002


Translating visual representations of real environments into auditory feedback is one of the key challenges in the design of an electronic travel aid for visually impaired persons. Although the solutions currently available in the literature can lead to effective sensory substitution, high commitment to an extensive training program involving repetitive sonic patterns is typically required, undermining their use in everyday life. The current study explores a novel sensory substitution algorithm that extracts information from raw depth maps and continuously converts it into parameters of a naturally sounding, physically based liquid sound model describing a population of bubbles. This approach is tested in a simplified wayfinding experiment with 14 blindfolded sighted participants and compared against the most popular sensory substitution algorithm available in the literature – the vOICe (Meijer, 1992) – following a short-time training program. The results indicate a superior performance of the proposed sensory substitution algorithm in terms of navigation accuracy, intuitiveness and pleasantness of the delivered sounds compared to the vOICe algorithm. These results should be applied to the visually impaired population with caution.


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