Figure 1 -SB Participants’ feedback per SHEFALI PANDEY (17893112)

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Participants in the multistakeholder dialogue. per David Galibourg (22676459)

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How actors and their interactions influence farmers’ opportunity to use piped water. per David Galibourg (22676459)

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Integrative conceptual framework for exploring institutions’ influence on stakeholders adopting safe practices to increase hygiene and food safety in the urban irrigated vegetable... per David Galibourg (22676459)

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Relative Burden of Foodborne Disease, by per Capita Income, 2010 (adapted from Jaffee et al., 2019, p. 42). per David Galibourg (22676459)

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Correlation between subjective depth (D) and normalized EVA (degrees). per Mohammed Safayet Arefin (22683505)

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The EVA as predicted by eye movement end depth and participant (data from Fig 4b). per Mohammed Safayet Arefin (22683505)

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The experiment placed targets at 4 different depths, resulting in 12 different vergence eye movements. Measurements are expressed in meters (m) and diopters (D). per Mohammed Safayet Arefin (22683505)

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The EVA as predicted Eq 2, the linear mixed effects model. per Mohammed Safayet Arefin (22683505)

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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 . per Mohammed Safayet Arefin (22683505)

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Predicting the vergence stability hypothesis (H3): reducing the maximal model to the fitted model. per Mohammed Safayet Arefin (22683505)

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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... per Mohammed Safayet Arefin (22683505)

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(a) The visual stimulus was a Landolt C resolving to a fixation cross, resulting in a four-alternative forced choice visual discrimination task. per Mohammed Safayet Arefin (22683505)

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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. per Mohammed Safayet Arefin (22683505)

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The geometry of the Eye Vergence Angle (EVA) while fixating on a near and far target. per Mohammed Safayet Arefin (22683505)

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Eye Vergence Angle (EVA) calculation and an example of unprocessed eye tracking data. per Mohammed Safayet Arefin (22683505)

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A zoomed-in view of participant 11 from Fig 11. per Mohammed Safayet Arefin (22683505)

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Predicting the natural log ratio of XR target depth over real target depth (Hypothesis H4): reducing the maximal model to the fitted model. per Mohammed Safayet Arefin (22683505)

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Predicting the eye vergence angle by end depth (Hypothesis H1) and environment (Hypothesis H2): reduction of the maximal model to the fitted model. per Mohammed Safayet Arefin (22683505)

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A zoomed-in view of participant 11 from Fig 8. per Mohammed Safayet Arefin (22683505)

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