2,936
Views
10
CrossRef citations to date
0
Altmetric
Original Research

A glimpse into smartphone screen reader use among blind teenagers in rural Nepal

&
Pages 875-881 | Received 06 Jul 2020, Accepted 29 Aug 2020, Published online: 12 Sep 2020

References

  • Pascolini D, Mariotti SP. Global estimates of visual impairment: 2010. Br J Ophthalmol. 2012;96(5):614–618.
  • Solebo AL, Rahi J. Epidemiology, aetiology and management of visual impairment in children. Arch Dis Child. 2014;99(4):375–379.
  • Dhakal B. Statistical trends in literacy rate in Nepal. IOSR J Appl Chem. 2018;11(11):71–77.
  • Pokharel GP, Regmi G, Shrestha SK, et al. Prevalence of blindness and cataract surgery in Nepal. Br J Ophthalmol. 1998;82(6):600–605.
  • Gnyawali S, Shrestha JB, Bhattarai D, et al. Optical needs of students with low vision in integrated schools of Nepal. Optom Vis Sci. 2012;89(12):1752–1756.
  • Kelly SM. Use of assistive technology by students with visual impairments: findings from a national survey. J Visual Impair Blind. 2009;103(8):470–480.
  • McCarthy T, Pal J, Marballi T, et al. An analysis of screen reader use in India. Proceedings of the Fifth International Conference on Information and Communication Technologies and Development; 2012. p. 149–158.
  • Pal J, Viswanathan A, Chandra P, et al. Agency in assistive technology adoption: visual impairment and smartphone use in Bangalore. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. New York, NY: ACM; 2017. p. 5929–5940.
  • Rodrigues A, Montague K, Nicolau H, et al. Getting smartphones to talkback: understanding the smartphone adoption process of blind users. Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility. New York, NY: ACM; 2015. p. 23–32.
  • Buzzi MC, Buzzi M, Leporini B, et al. Analyzing visually impaired people’s touch gestures on smartphones. Multimed Tools Appl. 2017;76(4):5141–5169.
  • Vashistha A, Cutrell E, Dell N, et al. Social media platforms for low-income blind people in India. Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility. New York, NY: ACM; 2015. p. 259–272.
  • Al-Mouh N, Al-Khalifa HS. The accessibility and usage of smartphones by Arab-speaking visually impaired people. Int J Pervas Comp Comm. 2015;11(4):418–435.
  • Pal J, Gogineni Y, Sanghavi K, et al. Local-language digital information in India: challenges and opportunities for screen readers. Proceedings of the Fifth International Conference on Information and Communication Technologies and Development; 2012. p. 318–325.
  • Pal J, Pradhan M, Shah M, et al. Assistive technology for vision-impairments: an agenda for the ICTD community. Proceedings of the 20th International Conference Companion on World Wide Web; 2011. p. 513–522.
  • Ari IA, Inan FA. Assistive technologies for students with disabilities: a survey of access and use in Turkish universities. Turk Online J Educ Technol. 2010;9(2):40–45.
  • Zhou L, Parker AT, Smith DW, et al. Assistive technology for students with visual impairments: challenges and needs in teachers’ preparation programs and practice. J Visual Impair Blind. 2011;105(4):197–210.
  • Vashistha A, Brady E, Thies W, et al. Educational content creation and sharing by low-income visually impaired people in India. Proceedings of the Fifth ACM Symposium on Computing for Development; New York, NY: ACM; 2014. p. 63–72.
  • Boiani JA, Barili SR, Medola FO, et al. On the non-disabled perceptions of four common mobility devices in Norway: a comparative study based on semantic differentials. Technol Disabil. 2019;31(1–2):15–25.
  • Shinohara K, Wobbrock JO. In the shadow of misperception: assistive technology use and social interactions. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; New York, NY: ACM; 2011. p. 705–714.
  • Shinohara K, Wobbrock JO. Self-conscious or self-confident? A diary study conceptualizing the social accessibility of assistive technology. ACM Trans Access Comput. 2016;8(2):1–31.
  • Sandnes FE. What do low-vision users really want from smart glasses? Faces, text and perhaps no glasses at all. International Conference on Computers Helping People with Special Needs. Cham: Springer; 2016. p. 187–194.
  • Pal J, Lakshmanan M. Assistive technology and the employment of people with vision impairments in India. Proceedings of the Fifth International Conference on Information and Communication Technologies and Development; 2012. p. 307–317.
  • Zajicek M, Powell C, Reeves C. A web navigation tool for the blind. Proceedings of the Third International ACM Conference on Assistive Technologies. New York, NY: ACM; 1998. p. 204–206.
  • Bahadur BK, Eika E. Impact of sentence length on the readability of web for screen reader users. Proceedings International Conference on Universal Access in Human–Computer Interaction. Cham: Springer; 2020.
  • dos Santos AD, Medola FO, Cinelli MJ, et al. Are electronic white canes better than traditional canes? A comparative study with blind and blindfolded participants. Univ Access Inf Soc. 2020. DOI:10.1007/s10209-020-00712-z
  • Zhao Y, Wu S, Reynolds L, et al. A face recognition application for people with visual impairments: understanding use beyond the lab. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems; New York, NY: ACM; 2018.
  • Thomas R, Barker L, Rubin G, et al. Assistive technology for children and young people with low vision. Cochrane Database Syst Rev. 2015. DOI:10.1002/14651858.CD011350.pub2
  • Milne LR, Bennett CL, Ladner RE, et al. BraillePlay: educational smartphone games for blind children. Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility. New York, NY: ACM; 2014. p. 137–144.
  • Sánchez J, Saenz M, Garrido JM. Usability of a multimodal video game to improve navigation skills for blind children. ACM Trans Access Comput. 2010;3(2):1–29.
  • Yuan B, Folmer E. Blind hero: enabling guitar hero for the visually impaired. Proceedings of the 10th International ACM SIGACCESS Conference on Computers and Accessibility. New York, NY: ACM; 2008. p. 169–176.
  • Sánchez J, Flores H. Memory enhancement through audio. Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility. New York, NY: ACM; 2003. p. 24–31.
  • Milne LR, Baker CM, Ladner RE. Blocks4all demonstration: a blocks-based programming environment for blind children. Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility. New York, NY: ACM; 2017. p. 313–314.
  • Fuglerud KS, Tjøstheim I, Gunnarsson BR, et al. Use of social media by people with visual impairments: usage levels, attitudes and barriers. International Conference on Computers for Handicapped Persons. Berlin, Heidelberg: Springer; 2012. p. 565–572.
  • Wentz B, Lazar J. Are separate interfaces inherently unequal? An evaluation with blind users of the usability of two interfaces for a social networking platform. Proceedings of the 2011 iConference; 2011. p. 91–97.
  • Wu S, Adamic LA. Visually impaired users on an online social network. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York, NY: ACM; 2014. p. 3133–3142.
  • Brady EL, Zhong Y, Morris MR, et al. Investigating the appropriateness of social network question asking as a resource for blind users. Proceedings of the 2013 Conference on Computer Supported Cooperative Work; 2013. p. 1225–1236.
  • Jayant C, Ji H, White S, et al. Supporting blind photography. Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility. New York, NY: ACM; 2011. p. 203–210.
  • Adams D, Kurniawan S, Herrera C, et al. Blind photographers and VizSnap: a long-term study. Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility. New York, NY: ACM; 2016. p. 201–208.
  • Bennett CL, Jane E, Mott ME, et al. How teens with visual impairments take, edit, and share photos on social media. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. New York, NY: ACM; 2018.
  • Sultana S, Ahmed SI. Witchcraft and HCI: morality, modernity, and postcolonial computing in rural Bangladesh. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. New York, NY: ACM; 2019.
  • Taylor J, Bradbury‐Jones C, Lund P. Witchcraft‐related abuse and murder of children with albinism in Sub‐Saharan Africa: a conceptual review. Child Abuse Rev. 2019;28(1):13–26.
  • Grussenmeyer W, Folmer E. Accessible touchscreen technology for people with visual impairments: a survey. ACM Trans Access Comput. 2017;9(2):1–31.
  • Rodrigues A, Santos A, Montague K, et al. Understanding the authoring and playthrough of nonvisual smartphone tutorials. Proceedings IFIP Conference on Human–Computer Interaction. Cham: Springer; 2019. p. 42–62.
  • Ethnologue. What are the top 200 most spoken languages? "Summary by language size"; [Internet]; 2020; [cited 2020 Apr 18]. Available from: https://www.ethnologue.com/guides/ethnologue200