Evidence map›Paper›PMID 28747401›Full record

ArticleJournal of the Royal Society, Interface2017

Influence of scene structure and content on visual search strategies.

Tatiana A Amor, Mirko Luković, Hans J Herrmann, José S Andrade

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. 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. Visual search habits and the spatial structure of scenes.Attention, perception & psychophysics · 2022
    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.

Tatiana A AmorComputational Physics IfB, ETH Zurich, Stefano-Franscini-Platz 3, 8093, Zurich, Switzerland.ORCID 0000-0002-6433-390X
Mirko LukovićComputational Physics IfB, ETH Zurich, Stefano-Franscini-Platz 3, 8093, Zurich, Switzerland.
Hans J HerrmannComputational Physics IfB, ETH Zurich, Stefano-Franscini-Platz 3, 8093, Zurich, Switzerland.
José S AndradeDepartamento de Física, Universidade Federal do Ceará, 60451-970, Fortaleza, Ceará, Brazil soares@fisica.ufc.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When searching for a target within an image, our brain can adopt different strategies, but which one does it choose? This question can be answered by tracking the motion of the eye while it executes the task. Following many individuals performing various search tasks, we distinguish between two competing strategies. Motivated by these findings, we introduce a model that captures the interplay of the search strategies and allows us to create artificial eye-tracking trajectories, which could be compared with the experimental ones. Identifying the model parameters allows us to quantify the strategy employed in terms of ensemble averages, characterizing each experimental cohort. In this way, we can discern with high sensitivity the relation between the visual landscape and the average strategy, disclosing how small variations in the image induce changes in the strategy.

Indexed as

Eye MovementsModels, NeurologicalPattern Recognition, VisualHumansYoung Adulteye movementsearch strategiesvisual search

Identifiers

PMID28747401
PMCPMC5550980

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.