Abstract

Routine assessments of the Contrast Sensitivity Function [CSF] could be useful for the diagnosis and monitoring of amblyopia. However, current CSF measures are not clinically practical, as they are too slow, too boring, and too uncomfortable to sustain a young child's interest. Here we assess the feasibility of a more gamified approach to CSF testing, in which a maximum likelihood psychophysical algorithm (QUEST+) is combined with a largely unconstrained user interface (no fixation target, head restraints, or discrete trials). Twenty-five amblyopes (strabismic, anisometropic, or mixed) aged 4.0–9.2 years performed the gamified CSF assessment monocularly (once per eye). The test required the child to “pop” (press) grating stimuli as they “bounced” around a tablet screen. Head tracking via the tablet's front-facing camera was used to adjust for variations in viewing distance post hoc. CSFs were fitted for each eye, and Area Under the CSF (AUCSF) computed as a summary measure of sensitivity. The results showed that AUCSF measurements were able to separate moderately and severely amblyopic eyes from fellow eyes (case-control effect), and to distinguish individuals with varying degrees of vision loss (dose effect). Even the youngest children exhibited no difficulties completing the test or comprehending what to do, and most children appeared to find the test genuinely enjoyable. Informal feedback from a focus group of older children was also positive, although potential shortcomings with the present design were identified. This feasibility study indicates that gamified, child-friendly vision assessments have promise as a future means of pediatric clinical assessment. Such measures could be particularly valuable for assessing children outside of conventional eye-care facilities (e.g., home-monitoring, school screening).

Highlights

  • Precise measures of spatial vision are important for the diagnosis and monitoring of amblyopia

  • which involved pressing equiluminant Gabor patches as they bounced around a tablet screen

  • which used head tracking to control for changes in viewing distance

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Summary

Introduction

Precise measures of spatial vision (acuity, contrast sensitivity) are important for the diagnosis and monitoring of amblyopia. The problem of long test durations has been mitigated by the development of more efficient psychophysical algorithms, such as the “quick CSF” (qCSF) [7,8,9,10,11,12] or QUEST+ [13, 14] These “maximum likelihood” (ML) algorithms evaluate all previous trials, along with all possible outcomes to any subsequent stimulus, in order to determine the most informative stimulus to present next. These “maximum likelihood” (ML) algorithms evaluate all previous trials, along with all possible outcomes to any subsequent stimulus, in order to determine the most informative stimulus to present This makes ML assessments faster than conventional psychophysical procedures [e.g., adaptive staircases [15, 16]], allowing the whole CSF to be measured in around 30–100 trials (3–10 mins) [6, 8, 10]. In situations such as home monitoring, where the same individual undergoes repeated testing, data from any previous assessments can be entered as “prior information,” further reducing any subsequent test durations

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