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Table 1 Summary of task design, manipulations, results and implications for the Local Features papers included in the review

From: How can basic research on spatial cognition enhance the visual accessibility of architecture for people with low vision?

Local features

Citation

Low vision type

Task paradigm

Main manipulations

Results

Implications for design

Bochsler et al. (2012)

Blur: 2 severity levels

Mild: P–R = 0.8

logMAR = 0.88

(20/152)

Severe: P–R = 0.6

logMAR = 1.65

(20/884)

Viewed and identified steps up or down, ramps up or down, or flat surfaces

Distance: 1.52, 3.05, and 6.10 m

Blur severity

Locomotion versus static viewing

High-contrast checkerboard texture versus uniform gray surface

1. Poorer performance with textured compared to uniform surface with severe blur

2. Locomotion improved accuracy over static viewing

Avoid high contrast texture on ground surfaces

Designing for active locomotion could facilitate feature recognition

Bochsler et al. (2013)

LV individuals (variety of types)

Acuity range from logMAR 0.98 to 2.18 (20/191–20/3000)

Field loss range of peripheral, central, or both

Viewed and identified steps up or down, ramps up or down, or flat surfaces

Distance: 1.52, 3.05, and 6.10 m

Lighting: near and far

Target-background contrast

Locomotion versus static viewing

1. People with LV outperformed those with simulated LV and were not strongly affected by target-background contrast

2. Similar to simulated LV, people with LV showed better identification for step-up compared to step-down and benefited from closer distances and locomotion

Designing for active locomotion could facilitate feature recognition

Kallie et al. (2012)

Blur (severe)

P–R = 0.6

Snellen 20/900

Viewed boxes and cylinders (2–6 ft)

Detection, confidence for detection, shape, and height

Distance: 3.05, 5.18, 7.32 m

Lighting: overhead or window

Color: White, gray

Object height: short, medium, tall

Shape: box, cylinder

1. Cylinders were easier to identify compared to boxes

2. Advantage for color (white vs gray) depended on the lighting

3. Better performance resulted with larger and closer objects

Consider potential interactions of color, object shape, and lighting

Overhead and window lighting may not differentially affect performance

Legge et al. (2010)

Blur: 2 severity levels

Mild: P–R = 0.8

logMAR = 0.81–.85

Severe: P–R = 0.6

logMAR = 1.64–1.67

Viewed and identified steps up or down, ramps up or down, or flat surfaces

Uniform gray surface with varying backgrounds

Distance: 1.52, 3.05, and 6.10 m

Lighting: overhead, near window, far window

Blur severity

Background color: black or gray

1. Steps up were more visible than steps down

2. Local geometric cues for identification (e.g., shape of edge contours of a walkway in an image) were dependent on viewing distance and contrast

3. A cue for identifying a ramp was its elevation in the image

Visibility of steps down is of particular concern and may be enhanced by contrast between riser and contiguous surface, and directional lighting

Rand et al. (2011)

Blur (severe) logMAR = 1.60 (20/791)

Distance perception to targets

Visual horizon height (wall-floor boundary): actual or raised

Distance: 3, 4.5, 6 m

1. When the “horizon” was raised, the angle of declination to the target increased, and viewers judged the distance to targets on the ground to be closer

Create high contrast between wall and floor to make the visual horizon salient

Rand et al. (2012)

Blur (severe)

P–R = 0.46

logMAR = 1.51 (20/647)

Distance and size perception of targets on stands

Distance: 1.5, 2.7, 4 m

Color of stands that the targets were placed on–created high or low contrast with ground plane

Blur versus normal vision

1. Distance and size judgments were accurate to the targets presented on the visible black stands

2. When the stands were not visible (painted gray and viewed through blur goggles), participants overestimated size and distance to the target

Increase visibility of information for grounding targets when they are located above the ground surface

Tarampi et al. (2010)

Blur (severe)

P–R = 0.36

logMAR = 1.53

Distance perception by blind walking to targets

Distance: 1.5, 3.1, 6 m

Blur versus normal vision

1. Relatively accurate distance perception with blur, although with increased variability

Accuracy in distance estimation may be increased with salient visual horizon cues

  1. P–R Pelli–Robson contrast sensitivity value, LV low vision, Blur simulated reduced acuity and contrast sensitivity, Snellen values are in parentheses