Evidence map›Paper›PMID 34501482›Full record

ArticleInternational journal of environmental research and public health2021

Quantification of the Psychoacoustic Effect of Noise from Small Unmanned Aerial Vehicles.

C T Justine Hui, Michael J Kingan, Yusuke Hioka, Gian Schmid, George Dodd, Kim N Dirks, Shaun Edlin, Sean Mascarenhas, Young-Min Shim

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Integrated Evaluation of the Aeroacoustics and Psychoacoustics of a Single Propeller.International journal of environmental research and public health · 2023
    Article
  3. Requirements for Drone Operations to Minimise Community Noise Impact.International journal of environmental research and public health · 2022
    Article
  4. Investigation of Metrics for Assessing Human Response to Drone Noise.International journal of environmental research and public health · 2022
    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.

C T Justine HuiAcoustics Research Centre, Department of Mechanical Engineering, The University of Auckland, Auckland 1010, New Zealand.
Michael J KinganAcoustics Research Centre, Department of Mechanical Engineering, The University of Auckland, Auckland 1010, New Zealand.ORCID 0000-0003-4265-5307
Yusuke HiokaAcoustics Research Centre, Department of Mechanical Engineering, The University of Auckland, Auckland 1010, New Zealand.ORCID 0000-0003-3380-9677
Gian SchmidAcoustics Research Centre, Department of Mechanical Engineering, The University of Auckland, Auckland 1010, New Zealand.
George DoddAcoustics Research Centre, Department of Mechanical Engineering, The University of Auckland, Auckland 1010, New Zealand.
Kim N DirksDepartment of Civil and Environmental Engineering, The University of Auckland, Auckland 1010, New Zealand.ORCID 0000-0003-4371-1323
Shaun EdlinDotterel Technologies Ltd., 40 Kenwyn Street, Parnell, Auckland 1052, New Zealand.
Sean MascarenhasDotterel Technologies Ltd., 40 Kenwyn Street, Parnell, Auckland 1052, New Zealand.
Young-Min ShimDotterel Technologies Ltd., 40 Kenwyn Street, Parnell, Auckland 1052, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents the results of a study evaluating the human perception of the noise produced by four different small quadcopter unmanned aerial vehicles (UAVs). This study utilised measurements and recordings of the noise produced by the quadcopter UAVs in hover and in constant-speed flight at a fixed altitude. Measurements made using a ½″ microphone were used to calculate a range of different noise metrics for each noise event. Noise recordings were also made using a spherical microphone array (an Eigenmike system). The recordings were reproduced using a 3D sound reproduction system installed in a large anechoic chamber located at The University of Auckland. Thirty-seven participants were subjected to the recordings and asked to rate their levels of annoyance in response to the noise, and asked to perform a simple cognitive task in order to assess the level of distraction caused by the noise. This study discusses the noise levels measured during the test and how the various noise metrics relate to the annoyance ratings. It was found that annoyance strongly correlates with the sound pressure level and loudness metrics, and that there is a very strong correlation between the annoyance caused by a UAV in hover and in flyby at the same height. While some significant differences between the distraction caused by the UAV noise for different cases were observed in the cognitive distraction test, the results were inconclusive. This was likely due to a ceiling effect observed in the participants' test scores.

Indexed as

NoiseSoundHumansPsychoacousticspsychoacoustic annoyanceunmanned aerial vehiclesvehicle noise

Identifiers

PMID34501482
PMCPMC8430946

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.