Evidence map›Paper›PMID 33920907›Full record

ArticleVision (Basel, Switzerland)2021

The Impact of Shape-Based Cue Discriminability on Attentional Performance.

Olga Lukashova-Sanz, Siegfried Wahl, Thomas S A Wallis, Katharina Rifai

Abstract read
In one paragraph

Article in Vision (Basel, Switzerland), 2021. 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.

Olga Lukashova-SanzInstitute for Ophthalmic Research, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0002-4053-3894
Siegfried WahlInstitute for Ophthalmic Research, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0003-3437-6711
Thomas S A WallisAmazon Development Centre Germany GmbH, 72076 Tübingen, Germany.ORCID 0000-0001-7431-4852
Katharina RifaiInstitute for Ophthalmic Research, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0002-2718-8547

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With rapidly developing technology, visual cues became a powerful tool for deliberate guiding of attention and affecting human performance. Using cues to manipulate attention introduces a trade-off between increased performance in cued, and decreased in not cued, locations. For higher efficacy of visual cues designed to purposely direct user's attention, it is important to know how manipulation of cue properties affects attention. In this verification study, we addressed how varying cue complexity impacts the allocation of spatial endogenous covert attention in space and time. To gradually vary cue complexity, the discriminability of the cue was systematically modulated using a shape-based design. Performance was compared in attended and unattended locations in an orientation-discrimination task. We evaluated additional temporal costs due to processing of a more complex cue by comparing performance at two different inter-stimulus intervals. From preliminary data, attention scaled with cue discriminability, even for supra-threshold cue discriminability. Furthermore, individual cue processing times partly impacted performance for the most complex, but not simpler cues. We conclude that, first, cue complexity expressed by discriminability modulates endogenous covert attention at supra-threshold cue discriminability levels, with increasing benefits and decreasing costs; second, it is important to consider the temporal processing costs of complex visual cues.

Indexed as

cue processingcue propertiesendogenous attention

Identifiers

PMID33920907
PMCPMC8167570

What OpenQuestion holds

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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.