Document Type
Article
Source of Publication
Computers in Human Behavior Reports
Publication Date
8-1-2024
Abstract
Voice notes, spoken messages recorded and sent via smartphones, have become a widespread means of communication. A likely consequence of this situation is that voice note users become more frequently exposed to recordings of their own voices (self-voices). This correlational study examined if frequent exposure to recordings of the self-voice via voice note replay was associated with improved self-voice recognition (accuracy and response latency) and self-voice liking. Participants (N = 128), regular voice note users, reported voice note replay frequency. They also reported self-voice satisfaction/liking. Finally, participants completed a novel self-voice recognition task, where, across 20 trials, they identified whether a recording was them (self-voice) or not (non-self-voice). The tendency to frequently replay voice notes was positively correlated with self-voice liking and recognition accuracy. These findings may have implications for the treatment of social anxiety disorder and auditory verbal hallucinations.
DOI Link
ISSN
Publisher
Elsevier BV
Volume
15
Disciplines
Life Sciences
Keywords
Self-voice, Voice memos, Voice notes, Voice recognition
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Thomas, Justin; Jogia, Jigar; Barbato, Mariapaola; and Bentall, Richard, "Me, not-me: Voice note use predicts self-voice recognition and liking" (2024). All Works. 6629.
https://zuscholars.zu.ac.ae/works/6629
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series