Evidence map›Paper›PMID 36050190›Full record

ArticleThe Journal of the Acoustical Society of America2022

Remote auditory assessment using Portable Automated Rapid Testing (PART) and participant-owned devices.

E Sebastian Lelo de Larrea-Mancera, Trevor Stavropoulos, Audrey Anna Carrillo, Sierra Cheung, Yue J He, David A Eddins, Michelle R Molis, Frederick J Gallun, Aaron R Seitz

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. PLFest: A New Platform for Accessible, Reproducible, and Open Perceptual Learning Research.Journal of cognitive enhancement : towards the integration of theory and practice · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Web-based psychoacoustics of binaural hearing: Two validation experiments.The Journal of the Acoustical Society of America · 2023
    Article
  12. Article
  13. Article
  14. 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

9 authors.

E Sebastian Lelo de Larrea-ManceraPsychology Department, University of California, Riverside, 900 University Avenue, Riverside, California 92507, USA.ORCID 0000-0001-8626-5621
Trevor StavropoulosBrain Game Center, University of California, Riverside, 1201 University Avenue #204, Riverside, California 92507, USA.
Audrey Anna CarrilloBrain Game Center, University of California, Riverside, 1201 University Avenue #204, Riverside, California 92507, USA.
Sierra CheungBrain Game Center, University of California, Riverside, 1201 University Avenue #204, Riverside, California 92507, USA.
Yue J HeBrain Game Center, University of California, Riverside, 1201 University Avenue #204, Riverside, California 92507, USA.
David A EddinsUniversity of South Florida, 4202 East Fowler Avenue, Tampa, Florida 33620, USA.ORCID 0000-0003-3716-2436
Michelle R MolisOregon Health and Science University, 3181 Southwest Sam Jackson Park Road, Portland, Oregon 97239-3098, USA.
Frederick J GallunOregon Health and Science University, 3181 Southwest Sam Jackson Park Road, Portland, Oregon 97239-3098, USA.ORCID 0000-0002-4145-2199
Aaron R SeitzPsychology Department, University of California, Riverside, 900 University Avenue, Riverside, California 92507, USA.ORCID 0000-0003-4936-9303

Funding

Efficient diagnostic tools to evaluate central auditory dysfunctionR01DC015051 · NIDCD · OREGON HEALTH & SCIENCE UNIVERSITY · PI EDDINS, DAVID A., GALLUN, FREDERICK J. · 2016 to 2020
$2.3M
NIDCD NIH HHS R01 DC015051
6 · The paper itself

Abstract

Remote testing of auditory function can be transformative to both basic research and hearing healthcare; however, historically, many obstacles have limited remote collection of reliable and valid auditory psychometric data. Here, we report performance on a battery of auditory processing tests using a remotely administered system, Portable Automatic Rapid Testing. We compare a previously reported dataset collected in a laboratory setting with the same measures using uncalibrated, participant-owned devices in remote settings (experiment 1, n = 40) remote with and without calibrated hardware (experiment 2, n = 36) and laboratory with and without calibrated hardware (experiment 3, n = 58). Results were well-matched across datasets and had similar reliability, but overall performance was slightly worse than published norms. Analyses of potential nuisance factors such as environmental noise, distraction, or lack of calibration failed to provide reliable evidence that these factors contributed to the observed variance in performance. These data indicate feasibility of remote testing of suprathreshold auditory processing using participants' own devices. Although the current investigation was limited to young participants without hearing difficulties, its outcomes demonstrate the potential for large-scale, remote hearing testing of more hearing-diverse populations both to advance basic science and to establish the clinical viability of auditory remote testing.

Indexed as

Hearing LossHearing TestsAuditory PerceptionHearingHumansReproducibility of Results

Identifiers

PMID36050190
PMCPMC9355663

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.