Modeling Visual Symptoms and Visual Skills to Measure Functional Binocular Vision

M. K. Powers, W. P. Fisher, R. W. Massof

Research output: Contribution to journalConference articlepeer-review


Obtaining a clear image of the world depends on good eye coordination ("binocular vision"). Yet no standard exists by which to determine a threshold for good vs poor binocular vision, as exists for the eye chart and visual acuity. We asked whether data on the signs and symptoms related to binocular vision are sufficiently consistent with children's self-reported visual symptoms to substantiate a construct model of Functional Binocular Vision (FBV), and then whether that model can be used to aggregate clinical and survey observations into a meaningful diagnostic measure. Data on visual symptoms from 1,100 children attending school in Los Angeles were obtained using the Convergence Insufficiency Symptom Survey (CISS); and for more than 300 students in that sample, 35 additional measures were taken, including acuity, cover test near and far, near point of convergence, near point of accommodation, accommodative facility, vergence ranges, tracking ability, and oral reading fluency. A preliminary analysis of data from the 15-item, 5-category CISS and 15 clinical variables from 103 grade school students who reported convergence problems (CISS scores of 16 or higher) suggests that the clinical and survey observations will be optimally combined in a multidimensional model.

Original languageEnglish (US)
Article number012045
JournalJournal of Physics: Conference Series
Issue number1
StatePublished - Dec 12 2016
Event2016 Joint IMEKO TC1-TC7-TC13 Symposium: Metrology Across the Sciences: Wishful Thinking? - Berkeley, United States
Duration: Aug 3 2016Aug 5 2016

ASJC Scopus subject areas

  • Physics and Astronomy(all)


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