Evidence map›Paper›PMID 35840617›Full record

ArticleScientific reports2022

Sound localization in web-based 3D environments.

Chinmay Rajguru, Giada Brianza, Gianluca Memoli

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Chinmay RajguruSchool of Engineering and Informatics, University of Sussex, Falmer, Brighton, BN1 9RH, UK. c.rajguru@sussex.ac.uk.
Giada BrianzaSchool of Engineering and Informatics, University of Sussex, Falmer, Brighton, BN1 9RH, UK.
Gianluca MemoliSchool of Engineering and Informatics, University of Sussex, Falmer, Brighton, BN1 9RH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sound delivery is a key aspect of immersivity in virtual and augmented reality (VR/AR), with studies hinting at a correlation between users' ability to locate sounds around them and the 'feeling of being there'. This is particularly true for WebVR, a method of delivering immersive experiences through a local web browser that has recently captured attention in multiple industries. In WebVR, audio is the main spatial cue. Designers need to select the correct number of sound sources so that users perceive the location of incoming sound correctly. Information on how users localize sound is essential. Sound localization experiments, so far, have been run only in empty spaces or closed rooms, without clear indications for designers in WebVR. Thus, in this study, we investigate sound localization directly through WebVR. To do so, we designed a traditional empty room for training and a city-like virtual environment for testing purposes. In our paper, we also discuss key design parameters, differences in perception for vertical and horizontal directions, the impact of training, and the role of changing virtual environments. In addition, we introduce and test a new sound cue along with the traditional pink noise sound to measure and explore the impact of different sound cues in different environments. The results demonstrate the potential of exploring sound localization using WebVR, and our study will support the development of virtual experiences in human-computer interaction that may be able to reach a large number of participants using a local web browser.

Indexed as

Sound LocalizationCuesHumansInternetNoiseSound

Identifiers

PMID35840617
PMCPMC9287443

What OpenQuestion holds

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LicenceCC BY
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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.