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1
Correlation between subjective depth (D) and normalized EVA (degrees). by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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2
The EVA as predicted by eye movement end depth and participant (data from Fig 4b). by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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3
The experiment placed targets at 4 different depths, resulting in 12 different vergence eye movements. Measurements are expressed in meters (m) and diopters (D). by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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The EVA as predicted Eq 2, the linear mixed effects model. by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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The Eye Vergence Angle (EVA) as predicted by (a) environment and eye movement end depth in meters, and (b) as predicted by eye movement end depth in . by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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Predicting the vergence stability hypothesis (H3): reducing the maximal model to the fitted model. by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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Analysis of Eq 4: the fitted model testing whether subjective depth judgments would be underestimated, and that EVA would provide a more veridical depth estimate than subjective de... by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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8
(a) The visual stimulus was a Landolt C resolving to a fixation cross, resulting in a four-alternative forced choice visual discrimination task. by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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Analysis of Eq 2, the fitted model testing the effect of end depth (Hypothesis H1) and environment (Hypothesis H2) on EVA. by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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10
The geometry of the Eye Vergence Angle (EVA) while fixating on a near and far target. by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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11
Eye Vergence Angle (EVA) calculation and an example of unprocessed eye tracking data. by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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12
A zoomed-in view of participant 11 from Fig 11. by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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13
Predicting the natural log ratio of XR target depth over real target depth (Hypothesis H4): reducing the maximal model to the fitted model. by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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14
Predicting the eye vergence angle by end depth (Hypothesis H1) and environment (Hypothesis H2): reduction of the maximal model to the fitted model. by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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15
A zoomed-in view of participant 11 from Fig 8. by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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Analysis of Eq 3: the fitted model testing vergence stability (Hypothesis H3). by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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17
The natural log ratio of Real target depth over XR target depth, plotted as points against the eye movement end depth, environment (AR, VR), and measure (EVA, Subjective Depth). by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”
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The vergence stability hypothesis (H3), tested with Eq 3: by Mohammed Safayet Arefin (22683505)
Published 2025Other Authors: “…John Edward Swan II (22683508)…”