Dr Liam Norman liam.norman@durham.ac.uk
Assistant Professor
Human echolocation for target detection is more accurate with emissions containing higher spectral frequencies, and this is explained by echo intensity
Norman, L.; Thaler, L.
Authors
Dr Lore Thaler lore.thaler@durham.ac.uk
Professor
Abstract
Humans can learn to use acoustic echoes to detect and classify objects. Echolocators typically use tongue clicks to induce these echoes, and there is some evidence that higher spectral frequency content of an echolocator’s tongue click is associated with better echolocation performance. This may be explained by the intensity of the echoes. The current study tested experimentally (a) if emissions with higher spectral frequencies lead to better performance for target detection, and (b) if this is mediated by echo intensity. Participants listened to sound recordings that contained an emission and sometimes an echo from an object. The peak spectral frequency of the emission was varied between 3.5 and 4.5 kHz. Participants judged whether they heard the object in these recordings and did the same under conditions in which the intensity of the echoes had been digitally equated. Participants performed better using emissions with higher spectral frequencies, but this advantage was eliminated when the intensity of the echoes was equated. These results demonstrate that emissions with higher spectral frequencies can benefit echolocation performance in conditions where they lead to an increase in echo intensity. The findings suggest that people who train to echolocate should be instructed to make emissions (e.g. mouth clicks) with higher spectral frequency content.
Citation
Norman, L., & Thaler, L. (2018). Human echolocation for target detection is more accurate with emissions containing higher spectral frequencies, and this is explained by echo intensity. i-Perception, 9(3), 1-18. https://doi.org/10.1177/2041669518776984
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 23, 2018 |
Online Publication Date | May 22, 2018 |
Publication Date | May 1, 2018 |
Deposit Date | Apr 24, 2018 |
Publicly Available Date | Apr 24, 2018 |
Journal | i-Perception |
Electronic ISSN | 2041-6695 |
Publisher | SAGE Publications |
Peer Reviewed | Peer Reviewed |
Volume | 9 |
Issue | 3 |
Article Number | 1-18 |
Pages | 1-18 |
DOI | https://doi.org/10.1177/2041669518776984 |
Public URL | https://durham-repository.worktribe.com/output/1333484 |
Files
Published Journal Article
(747 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Accepted Journal Article
(1.5 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License
(http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
You might also like
Human Echolocators Have Better Localization Off Axis
(2022)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search