Sloan letters are commonly used optotypes in clinical practice, but they exhibit
different relative legibility, which may be attributed to response bias, sensitivity
differences, and letter similarity. In this thesis, we employed Luce’s choice model and
developed a new noisy template model to investigate the role of response bias,
sensitivity differences, and letter similarity in letter identification of Sloan letters at
central and paracentral locations. Results show that the best model was the one that
accounted for the effects of bias, sensitivity, and similarity, with bias contributing
more than sensitivity and similarity. However, when estimating the letter acuity from
the pooled data across all letters, no significant effects of bias, sensitivity, or similarity
were observed. The models incorporating similarity demonstrated a substantial
increase in the spread of the underlying psychometric function (the percent correct as
a function of letter size), particularly in the periphery and upper portion of the function.
Given that most letter stimuli in clinical vision tests are presented at supra-threshold
sizes, it is plausible to attribute any increase in test-retest variability, particularly in
peripheral vision, to similarity alone.
Furthermore, this thesis explored the use of letters as stimuli and speech as a response
method to assess macular visual sensitivity in healthy observers and individuals with
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Glaucoma. Dissimilar letters following Sloan’s design were used to estimate
peripheral letter acuity within 4 degrees of fixation. A speech recognition algorithm
was employed to enable participants to perform the task without supervision. The
participants’ perceived task difficulty was assessed through a questionnaire.
Results from this experiment show that in observers with Glaucoma, letter acuity
exhibited a close correlation with conventional perimetry, and most observers found
the task easy to perform. These results demonstrate that letter acuity perimetry with
speech input is a viable method for capturing macular damage in Glaucoma. These
approaches have the potential to facilitate more intuitive and patient-friendly tests for
macular visual field assessments.
Date of Award | 2023 |
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Original language | English |
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Awarding Institution | |
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Supervisor | Gunnar Schmidtmann (Other Supervisor) |
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- paracentral vision
- Letter acuity
- Home-based test
- letter identification Task
- Luce's choice model
- Noisy Template model
- letter similarity
- response bias
Investigating Letter Identification for Visual Acuity Measurements in the Paracentral Visual Field
Barhoom, H. (Author). 2023
Student thesis: PhD