Evidence map›Paper›PMID 38390289›Full record

ArticleIS&T International Symposium on Electronic Imaging2024

Egocentric Boundaries on Distinguishing Colliding and Non-Colliding Pedestrians while Walking in a Virtual Environment.

Alex D Hwang, Jaehyun Jung, Alex Bowers, Eli Peli

Abstract read
In one paragraph

Article in IS&T International Symposium on Electronic Imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alex D HwangSchepens Eye Research Institute of Massachusetts Eye and Ear, Boston, Massachusetts, USA; Harvard Medical School, Cambridge, Massachusetts, USA.
Jaehyun JungSchepens Eye Research Institute of Massachusetts Eye and Ear, Boston, Massachusetts, USA; Harvard Medical School, Cambridge, Massachusetts, USA.
Alex BowersSchepens Eye Research Institute of Massachusetts Eye and Ear, Boston, Massachusetts, USA; Harvard Medical School, Cambridge, Massachusetts, USA.
Eli PeliSchepens Eye Research Institute of Massachusetts Eye and Ear, Boston, Massachusetts, USA; Harvard Medical School, Cambridge, Massachusetts, USA.

Funding

VISUAL FIELD EXPANSION THROUGH INNOVATIVE MULTIPLEXING PRISM DESIGNR01EY023385 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI PELI, ELI · 2013 to 2024
$7.2M
Monocular Visual Confusion for Field ExpansionR01EY031777 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI PELI, ELI · 2020 to 2023
$1.7M
NEI NIH HHS R01 EY023385NEI NIH HHS R01 EY031777
6 · The paper itself

Abstract

Avoiding person-to-person collisions is critical for visual field loss patients. Any intervention claiming to improve the safety of such patients should empirically demonstrate its efficacy. To design a VR mobility testing platform presenting multiple pedestrians, a distinction between colliding and non-colliding pedestrians must be clearly defined. We measured nine normally sighted subjects' collision envelopes (CE; an egocentric boundary distinguishing collision and non-collision) and found it changes based on the approaching pedestrian's bearing angle and speed. For person-to-person collision events for the VR mobility testing platform, non-colliding pedestrians should not evade the CE.

Identifiers

PMID38390289
PMCPMC10883473

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.