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Study of Voice-Based Crowdsourcing Platform for the Enhancement of Self-support for the Visually Impaired

  • Jini KimEmail author
  • Ga Ram Song
  • HaYeong Kim
  • Enseo Kim
  • Wonsup Lee
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 972)

Abstract

This research suggested a voice-based crowdsourcing platform that can increase the independence of visually impaired people. This study used a qualitative analysis; one group interview and one in-depth interview. As a result, they expressed needs to know information that are directly related to health such as medicines, clothing, and food. This research suggested a platform construction based on the information most needed by the visually impaired.

This platform allows both people with visual disabilities and the public to freely share and utilize information. The application’s QR code and voice search functions provide immediate access to the various product information available from the platform. Users’ voluntary participation will provide an opportunity to register and modify product information needed. In addition, public institutions and companies will be able to use this voice-based crowdsourcing platform to promote independent living of visually impaired people.

Keywords

Crowdsourcing platform Visually impaired people QR code UX design 

Notes

Acknowledgments

This work was supported by the National Program for Excellence in Software funded by the Ministry of Science and ICT (2017-0-00130).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Jini Kim
    • 1
    Email author
  • Ga Ram Song
    • 1
  • HaYeong Kim
    • 1
  • Enseo Kim
    • 1
  • Wonsup Lee
    • 1
  1. 1.Handong Global UniversityPohangRepublic of Korea

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