Evidence map›Paper›PMID 31772154›Full record

ArticleNature communications2019

Digit-tracking as a new tactile interface for visual perception analysis.

Guillaume Lio, Roberta Fadda, Giuseppe Doneddu, Jean-René Duhamel, Angela Sirigu

Registry-linked trialAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05784623 (DIGICOG-start), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT05784623 completednot on this mapstarted 2021, after this paper: background citation

DIGICOG-start: Intérêt et faisabilité de la Technique de DIGItracking Pour Diagnostiquer précocement Les Troubles de la COGnition au Cours de la Vie

TypeobservationalSponsorUniversity Hospital, AngersRan2021 to 2022Enrolled135ConditionsAgingArmsUser experience
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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

5 authors.

Guillaume LioInstitute of Cognitive Science Marc Jeannerod, CNRS, Bron, France.ORCID http://orcid.org/0000-0002-0462-4705
Roberta FaddaAzienda Ospedaliera Brotzu, Cagliari, Italy.ORCID http://orcid.org/0000-0002-4862-4213
Giuseppe DonedduDepartment of Pedagogy, Psychology, Philosophy, University of Cagliari, Cagliari, Italy.
Jean-René DuhamelInstitute of Cognitive Science Marc Jeannerod, CNRS, Bron, France.
Angela SiriguInstitute of Cognitive Science Marc Jeannerod, CNRS, Bron, France. sirigu@isc.cnrs.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eye-tracking is a valuable tool in cognitive science for measuring how visual processing resources are allocated during scene exploration. However, eye-tracking technology is largely confined to laboratory-based settings, making it difficult to apply to large-scale studies. Here, we introduce a biologically-inspired solution that involves presenting, on a touch-sensitive interface, a Gaussian-blurred image that is locally unblurred by sliding a finger over the display. Thus, the user's finger movements provide a proxy for their eye movements and attention. We validated the method by showing strong correlations between attention maps obtained using finger-tracking vs. conventional optical eye-tracking. Using neural networks trained to predict empirically-derived attention maps, we established that identical high-level features hierarchically drive explorations with either method. Finally, the diagnostic value of digit-tracking was tested in autistic and brain-damaged patients. Rapid yet robust measures afforded by this method open the way to large scale applications in research and clinical settings.

Indexed as

FingersAnimalsAttentionAutism Spectrum DisorderCase-Control StudiesDeep LearningEye MovementsHumansImage Processing, Computer-AssistedMacacaMaleNeural Networks, ComputerVisual PerceptionYoung Adult

Identifiers

PMID31772154
PMCPMC6879631

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.