Iterative Design of Sonification Techniques to Support People with Visual Impairments in Obstacle Avoidance
| Autor: | Sergio Mascetti, Cristian Bernareggi, Giorgio Presti, Luca A. Ludovico, Dragan Ahmetovic, Mattia Ducci, Federico Avanzini, Adriano Baratè |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | ACM Transactions on Accessible Computing. 14:1-27 |
| ISSN: | 1936-7236 1936-7228 |
| Popis: | Obstacle avoidance is a major challenge during independent mobility for blind or visually impaired (BVI) people. Typically, BVI people can only perceive obstacles at a short distance (about 1 m, in case they are using the white cane), and some obstacles are hard to detect (e.g . , those elevated from the ground), or should not be hit by the white cane (e.g . , a standing person). A solution to these problems can be found in recent computer-vision techniques that can run on mobile and wearable devices to detect obstacles at a distance. However, in addition to detecting obstacles, it is also necessary to convey information about them in real time. This contribution presents WatchOut , a sonification technique for conveying real-time information about the main properties of an obstacle to a BVI person, who can then use this additional feedback to safely navigate in the environment. WatchOut was designed with a user-centered approach, involving four iterations of online listening tests with BVI participants in order to define, improve and evaluate the sonification technique, eventually obtaining an almost perfect recognition accuracy. WatchOut was also implemented and tested as a module of a mobile app that detects obstacles using state-of-the-art computer vision technology. Results show that the system is considered usable and can guide the users to avoid more than 85% of the obstacles. |
| Databáze: | OpenAIRE |
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