Dineley, J;
Lavelle, G;
Leightley, D;
Matcham, F;
Siddi, S;
Peñarrubia-María, MT;
White, KM;
... Cummins, N; + view all
(2021)
Remote smartphone-based speech collection: Acceptance and barriers in individuals with major depressive disorder.
In:
Proceedings of Interspeech 2021.
(pp. pp. 631-635).
International Speech Communication Association (ISCA): Brno, Czechia.
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Abstract
The ease of in-the-wild speech recording using smartphones has sparked considerable interest in the combined application of speech, remote measurement technology (RMT) and advanced analytics as a research and healthcare tool. For this to be realised, the acceptability of remote speech collection to the user must be established, in addition to feasibility from an analytical perspective. To understand the acceptance, facilitators, and barriers of smartphone-based speech recording, we invited 384 individuals with major depressive disorder (MDD) from the Remote Assessment of Disease and Relapse - Central Nervous System (RADAR-CNS) research programme in Spain and the UK to complete a survey on their experiences recording their speech. In this analysis, we demonstrate that study participants were more comfortable completing a scripted speech task than a free speech task. For both speech tasks, we found depression severity and country to be significant predictors of comfort. Not seeing smartphone notifications of the scheduled speech tasks, low mood and forgetfulness were the most commonly reported obstacles to providing speech recordings.
Type: | Proceedings paper |
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Title: | Remote smartphone-based speech collection: Acceptance and barriers in individuals with major depressive disorder |
Event: | Interspeech 2021 |
ISBN-13: | 9781713836902 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.21437/Interspeech.2021-1240 |
Publisher version: | http://doi.org/10.21437/Interspeech.2021-1240 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10139611 |
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