Abstract
Objective
The purpose of this study was to evaluate the equivalence of smartphone-based measurements of near visual acuity under different screen brightness conditions with a standard near visual acuity test.
Methods
On a sample of 85 participants, we have evaluated near visual acuity with a smartphone-based version of the Radner reading chart at three distinct screen brightness levels. Results have been compared with those obtained with classical Radner paper charts.
Results
We have found that, when a sufficient screen brightness is employed, the smartphone-based version of the Radner reading chart produces results that are in line with the paper Radner charts while low brightness levels lead to a significant underestimation of reading acuities. This result was consistent across different refractive conditions.
Conclusions
In conclusion, we have shown that handheld devices, such as smartphones, can be potentially exploited for remote measurements of near visual acuity provided a correct control of brightness screen is employed.
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Data availability
The raw behavioral data have been deposited at Zenodo repository and are publicly available at the following address: https://doi.org/10.5281/zenodo.8158654.
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Acknowledgements
We want to thank prof. Alessandro Farini for his helpful support in building up the stimuli used. We are grateful to Giulia Nesti and Letizia Lavezzi for their precious help in data collection.
Funding
The study was conducted with the contribution of the researcher Paolo Antonino Grasso with a research contract co-funded by the European Union - PON Research and Innovation 2014–2020 in accordance with Article 24, paragraph 3a, of Law No. 240 of December 30, 2010, as amended, and Ministerial Decree No. 1062 of August 10, 2021.
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PAG: Project Administration, Conceptualization, Methodology, Data Collection, Data Analysis, Writing; MG: Supervision, Review & Editing; LB: Supervision, Methodology, Writing, Review & Editing.
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Grasso, P.A., Gurioli, M. & Boccardo, L. Effects of brightness variations on a smartphone-based version of Radner reading charts. Eye (2024). https://doi.org/10.1038/s41433-024-02950-4
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DOI: https://doi.org/10.1038/s41433-024-02950-4