Evidence map›Paper›PMID 34043655›Full record

ArticlePloS one2021

Discrimination of 2D wall textures by passive echolocation for different reflected-to-direct level difference configurations.

Léopold Kritly, Yannick Sluyts, David Pelegrín-García, Christ Glorieux, Monika Rychtáriková

Abstract read
In one paragraph

Article in PloS one, 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
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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.

Léopold KritlyResearch Department of Architecture-Building and Room Acoustics, Faculty of Architecture, KU Leuven, Brussel, Belgium.ORCID 0000-0003-1608-4520
Yannick SluytsResearch Department of Architecture-Building and Room Acoustics, Faculty of Architecture, KU Leuven, Brussel, Belgium.
David Pelegrín-GarcíaZMB Lab. of Acoustics, Department of Physics and Astronomy, KU Leuven, Heverlee, Belgium.
Christ GlorieuxZMB Lab. of Acoustics, Department of Physics and Astronomy, KU Leuven, Heverlee, Belgium.
Monika RychtárikováResearch Department of Architecture-Building and Room Acoustics, Faculty of Architecture, KU Leuven, Brussel, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we study people's ability to discriminate between different 2D textures of walls by passive listening to a pre-recorded tongue click in an auralized echolocation scenario. In addition, the impact of artificially enhancing the early reflection magnitude by 6dB and of removing the direct component while equalizing the loudness was investigated. Listening test results for different textures, ranging from a flat wall to a staircase, were assessed using a 2 Alternative-Forced-Choice (2AFC) method, in which 14 sighted, untrained participants were indicating 2 equally perceived stimuli out of 3 presented stimuli. The average performance of the listening subjects to discriminate between different textures was found to be significantly higher for walls at 5m distance, without overlap between the reflected and direct sound, compared to the same walls at 0.8m distance. Enhancing the reflections as well as removing the direct sound were found to be beneficial to differentiate textures. This finding highlights the importance of forward masking in the discrimination process. The overall texture discriminability was found to be larger for the walls reflecting with a higher spectral coloration.

Indexed as

Acoustic StimulationAdultAnimalsAuditory PerceptionDiscrimination, PsychologicalEcholocationFemaleHumansMaleMiddle AgedSound LocalizationYoung Adult

Identifiers

PMID34043655
PMCPMC8158938

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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.