BrightLights: Gamifying Data Capture for Situational Visual Impairments

Kerr Macpherson, Garreth Tigwell, Rachel Menzies, David Flatla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
109 Downloads (Pure)

Abstract

With the growing popularity of mobile devices, Situational Visual Impairments (SVIs) can cause accessibility challenges. When addressing SVIs, interface and content designers are lacking guidelines based on empirically-determined SVI contrast sensitivities. To address this, we developed BrightLights - a game that collects screen-content-contrast data in-the-wild that will enable new SVI-pertinent contrast ratio recommendations. In our evaluation with 15 participants, we found significantly worse performance with low screen brightness versus medium or high screen brightness, showing that Bright- Lights is sensitive to at least one factor that contributes to SVI (screen brightness). Once validated for in-the-wild deployment, BrightLights data will finally help designers address SVIs through their designs.

Original languageEnglish
Title of host publicationASSETS 2018 - Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility
PublisherAssociation for Computing Machinery
Pages355-357
Number of pages3
ISBN (Electronic)978-1-4503-5650-3
DOIs
Publication statusPublished - 24 Oct 2018
Event20th International ACM SIGACCESS Conference on Computers and Accesssibility - Galway, Ireland
Duration: 22 Oct 201824 Oct 2018
https://assets18.sigaccess.org/

Conference

Conference20th International ACM SIGACCESS Conference on Computers and Accesssibility
CountryIreland
CityGalway
Period22/10/1824/10/18
Internet address

Keywords

  • Accessibility
  • Games
  • Mobile devices
  • Situational impairment

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  • Cite this

    Macpherson, K., Tigwell, G., Menzies, R., & Flatla, D. (2018). BrightLights: Gamifying Data Capture for Situational Visual Impairments. In ASSETS 2018 - Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 355-357). Association for Computing Machinery. https://doi.org/10.1145/3234695.3241030