Evidence map›Paper›PMID 32855877›Full record

ArticleTranslational vision science & technology2020

The Human Touch: Using a Webcam to Autonomously Monitor Compliance During Visual Field Assessments.

Pete R Jones, Giorgia Demaria, Iris Tigchelaar, Daniel S Asfaw, David F Edgar, Peter Campbell, Tamsin Callaghan, David P Crabb

Abstract read
In one paragraph

Article in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Gaze tracker parameters have little association with visual field metrics of intrasession frontloaded SITA-Faster 24-2 visual field results.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2022
    Article
  3. Article
  4. Article
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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

8 authors.

Pete R JonesDivision of Optometry and Visual Sciences, School of Health Sciences, City, University of London, London, UK.
Giorgia DemariaDepartment of Ophthalmology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Iris TigchelaarDepartment of Ophthalmology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Daniel S AsfawDivision of Optometry and Visual Sciences, School of Health Sciences, City, University of London, London, UK.
David F EdgarDivision of Optometry and Visual Sciences, School of Health Sciences, City, University of London, London, UK.
Peter CampbellDivision of Optometry and Visual Sciences, School of Health Sciences, City, University of London, London, UK.
Tamsin CallaghanDivision of Optometry and Visual Sciences, School of Health Sciences, City, University of London, London, UK.
David P CrabbDivision of Optometry and Visual Sciences, School of Health Sciences, City, University of London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore the feasibility of using various easy-to-obtain biomarkers to monitor non-compliance (measurement error) during visual field assessments. Methods: Forty-two healthy adults (42 eyes) and seven glaucoma patients (14 eyes) underwent two same-day visual field assessments. An ordinary webcam was used to compute seven potential biomarkers of task compliance, based primarily on eye gaze, head pose, and facial expression. We quantified the association between each biomarker and measurement error, as defined by (1) test-retest differences in overall test scores (mean sensitivity), and (2) failures to respond to visible stimuli on individual trials (stimuli -3 dB or more brighter than threshold). Results: In healthy eyes, three of the seven biomarkers were significantly associated with overall (test-retest) measurement error ( Conclusions: Inexpensive, autonomous measures of task compliance are associated with measurement error in visual field assessments, in terms of both the overall reliability of a test and failures to respond on particular trials ("lapses"). This could be helpful for identifying low-quality assessments and for improving assessment techniques (e.g., by discounting suspect responses or by automatically triggering comfort breaks or encouragement). Translational Relevance: This study explores a potential way of improving the reliability of visual field assessments, a crucial but notoriously unreliable clinical measure.

Indexed as

GlaucomaVisual FieldsAdultHumansReproducibility of ResultsTouchVisual Field Testsaction unitsadherenceaffective computingcompliancecomputer visiondeep learningeye gazefacial expressionglaucomahead posemachine learningmeasurement errorOpenFaceperimetrypsychophysicsreliabilityvigilancevisual fields

Identifiers

PMID32855877
PMCPMC7422775

What OpenQuestion holds

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Registered trials

None linked

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.