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People with AMD Judge Car Arrival Times Like Others — Level B2 — Two young women experiencing virtual reality together.

People with AMD Judge Car Arrival Times Like OthersCEFR B2

6 Dec 2025

Adapted from Kat Cosley Trigg - Rice, Futurity CC BY 4.0

Photo by Vitaly Gariev, Unsplash

Level B2 – Upper-intermediate
6 min
323 words

Researchers examined how adults with age-related macular degeneration (AMD) estimate when an approaching vehicle would reach them. The study built on longtime work by Patricia DeLucia at Rice University on collision judgment. Investigators used a virtual reality system that combined visual simulations with realistic car sounds; the system drew on a design by Daniel Oberfeld at Johannes Gutenberg University Mainz. Participants experienced an approaching vehicle using sight only, sound only, or both, and they pressed a button to indicate the vehicle's arrival. The project brought together a multidisciplinary team from sites in the United States and Europe and was funded by a grant from the National Eye Institute at the National Institutes of Health.

The team tested two main ideas: whether people with impaired central vision shift toward auditory cues, and whether combining sight and sound yields better arrival judgments than vision alone. The researchers expected some reliance on sound in the AMD group and a multimodal advantage when both cues were available.

Results ran counter to those expectations. Adults with AMD in both eyes performed very similarly to adults with normal vision. Participants continued to use visual information and to combine vision and hearing when both cues were present; they did not depend solely on auditory cues. Both groups displayed the same perceptual heuristics seen in earlier work: louder vehicles were judged to arrive sooner than quieter ones, and larger vehicles were judged to arrive sooner than smaller ones. These shortcuts appeared slightly more often in the AMD group, but the effect size was small.

The authors caution that the study used a simple VR scenario with a single vehicle on a single-lane road, so results may not generalize to complex traffic. They suggest future work should test multiple vehicles, changes in vehicle speed, and quieter electric vehicles. The researchers hope the findings will inform mobility, rehabilitation, and safety for people with visual impairment. Source: Rice University; appeared on Futurity.

Difficult words

  • macular degenerationeye disease causing loss of central vision
  • estimatemake a rough judgment about quantity or time
  • approachmove closer to something or someone
    approaching
  • virtual realitycomputer-generated immersive visual and audio environment
  • multidisciplinaryinvolving experts from several different academic fields
  • multimodalinvolving more than one sensory mode or cue
  • heuristicsimple decision shortcut used to judge quickly
    heuristics
  • generalizeapply results from one case more widely

Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.

Discussion questions

  • How might these findings affect training or rehabilitation programs for people with visual impairment? Give reasons.
  • In what ways could the study results change if the VR scenario included multiple vehicles or changing speeds?
  • Do quieter electric vehicles create new safety concerns for people with vision loss? Explain with examples.

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