Blind wayfinding with physically-based liquid sounds
| Autor: | Runar Unnthorsson, Marcelo Herrera Martínez, Rebekka Hoffmann, Simone Spagnol |
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| Přispěvatelé: | Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ), Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI), Sálfræðideild (HÍ), Faculty of Psychology (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Speech recognition Skynjun Human Factors and Ergonomics 01 natural sciences Physical sound model Education 03 medical and health sciences 0302 clinical medicine Sensory substitution 0103 physical sciences Heyrn Everyday life 010301 acoustics Auditory feedback Sjón Sonification General Engineering Liquid consonant Electronic travel aid Vélaverkfræði Hugbúnaður Human-Computer Interaction Depth sounding Hardware and Architecture Key (cryptography) 030217 neurology & neurosurgery Software |
| Popis: | 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. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 643636. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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