Literature DB >> 26427745

Design of a Braille Learning Application for Visually Impaired Students in Bangladesh.

Lutfun Nahar1, Azizah Jaafar1, Eistiak Ahamed2, A B M A Kaish3.   

Abstract

Visually impaired students (VIS) are unable to get visual information, which has made their learning process complicated. This paper discusses the overall situation of VIS in Bangladesh and identifies major challenges that they are facing in getting education. The Braille system is followed to educate blind students in Bangladesh. However, lack of Braille based educational resources and technological solutions have made the learning process lengthy and complicated for VIS. As a developing country, Bangladesh cannot afford for the costly Braille related technological tools for VIS. Therefore, a mobile phone based Braille application, "mBRAILLE", for Android platform is designed to provide an easy Braille learning technology for VIS in Bangladesh. The proposed design is evaluated by experts in assistive technology for students with disabilities, and advanced learners of Braille. The application aims to provide a Bangla and English Braille learning platform for VIS. In this paper, we depict iterative (participatory) design of the application along with a preliminary evaluation with 5 blind subjects, and 1 sighted and 2 blind experts. The results show that the design scored an overall satisfaction level of 4.53 out of 5 by all respondents, indicating that our design is ready for the next step of development.

Entities:  

Keywords:  Visually Impaired Students (VIS); android platform; braille; education for VIS; mobile application

Mesh:

Year:  2015        PMID: 26427745     DOI: 10.1080/10400435.2015.1011758

Source DB:  PubMed          Journal:  Assist Technol        ISSN: 1040-0435


  2 in total

1.  The sound of reading: Color-to-timbre substitution boosts reading performance via OVAL, a novel auditory orthography optimized for visual-to-auditory mapping.

Authors:  Roni Arbel; Benedetta Heimler; Amir Amedi
Journal:  PLoS One       Date:  2020-11-25       Impact factor: 3.240

2.  Characterization of English Braille Patterns Using Automated Tools and RICA Based Feature Extraction Methods.

Authors:  Sana Shokat; Rabia Riaz; Sanam Shahla Rizvi; Inayat Khan; Anand Paul
Journal:  Sensors (Basel)       Date:  2022-02-25       Impact factor: 3.576

  2 in total

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