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

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Advances in Usability and User Experience (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 972))

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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.

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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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Correspondence to Jini Kim .

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Kim, J., Song, G.R., Kim, H., Kim, E., Lee, W. (2020). Study of Voice-Based Crowdsourcing Platform for the Enhancement of Self-support for the Visually Impaired. In: Ahram, T., FalcĂŁo, C. (eds) Advances in Usability and User Experience. AHFE 2019. Advances in Intelligent Systems and Computing, vol 972. Springer, Cham. https://doi.org/10.1007/978-3-030-19135-1_83

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  • DOI: https://doi.org/10.1007/978-3-030-19135-1_83

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19134-4

  • Online ISBN: 978-3-030-19135-1

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