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Using a Telegram chatbot as cost-effective software infrastructure for ambulatory assessment studies with iOS and Android devices
In this work, we present an innovative and cost-effective approach to run ambulatory assessment (AA) studies on participants’ smartphones via Telegram Messenger. Our approach works both for Android and iOS devices. The population of potential participants in a given country or region consists of all...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219545/ https://www.ncbi.nlm.nih.gov/pubmed/32989722 http://dx.doi.org/10.3758/s13428-020-01475-4 |
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author | Barthelmäs, Michael Killinger, Marcel Keller, Johannes |
author_facet | Barthelmäs, Michael Killinger, Marcel Keller, Johannes |
author_sort | Barthelmäs, Michael |
collection | PubMed |
description | In this work, we present an innovative and cost-effective approach to run ambulatory assessment (AA) studies on participants’ smartphones via Telegram Messenger. Our approach works both for Android and iOS devices. The population of potential participants in a given country or region consists of all individuals who (a) are in possession of a smartphone, (b) are willing to install Telegram Messenger, and (c) live in an environment providing constant connection to the Internet. In our new approach to AA, participants are asked to subscribe to a Telegram chatbot that provides them with links to brief surveys at specified points in time in their everyday lives via short notifications. We developed a user-friendly Python script that allows for the flexible editing of the chatbot’s settings, e.g., the number of surveys per day. All common survey software designed for mobile devices can be used to present surveys to participants. This means that data collection takes place exclusively via the selected survey software, not via Telegram. With our approach, AA studies can be carried out among iOS and Android users cost-effectively and reliably while data security is ensured. Initial data from a pilot study show that studies of this kind are feasible, and the procedure is accepted by participants. Our Python script is licensed under General Public License (GPLv3) and therefore freely available and editable: https://github.com/Raze97/Telegram-Survey-Bot |
format | Online Article Text |
id | pubmed-8219545 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-82195452021-07-09 Using a Telegram chatbot as cost-effective software infrastructure for ambulatory assessment studies with iOS and Android devices Barthelmäs, Michael Killinger, Marcel Keller, Johannes Behav Res Methods Article In this work, we present an innovative and cost-effective approach to run ambulatory assessment (AA) studies on participants’ smartphones via Telegram Messenger. Our approach works both for Android and iOS devices. The population of potential participants in a given country or region consists of all individuals who (a) are in possession of a smartphone, (b) are willing to install Telegram Messenger, and (c) live in an environment providing constant connection to the Internet. In our new approach to AA, participants are asked to subscribe to a Telegram chatbot that provides them with links to brief surveys at specified points in time in their everyday lives via short notifications. We developed a user-friendly Python script that allows for the flexible editing of the chatbot’s settings, e.g., the number of surveys per day. All common survey software designed for mobile devices can be used to present surveys to participants. This means that data collection takes place exclusively via the selected survey software, not via Telegram. With our approach, AA studies can be carried out among iOS and Android users cost-effectively and reliably while data security is ensured. Initial data from a pilot study show that studies of this kind are feasible, and the procedure is accepted by participants. Our Python script is licensed under General Public License (GPLv3) and therefore freely available and editable: https://github.com/Raze97/Telegram-Survey-Bot Springer US 2020-09-28 2021 /pmc/articles/PMC8219545/ /pubmed/32989722 http://dx.doi.org/10.3758/s13428-020-01475-4 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Barthelmäs, Michael Killinger, Marcel Keller, Johannes Using a Telegram chatbot as cost-effective software infrastructure for ambulatory assessment studies with iOS and Android devices |
title | Using a Telegram chatbot as cost-effective software infrastructure for ambulatory assessment studies with iOS and Android devices |
title_full | Using a Telegram chatbot as cost-effective software infrastructure for ambulatory assessment studies with iOS and Android devices |
title_fullStr | Using a Telegram chatbot as cost-effective software infrastructure for ambulatory assessment studies with iOS and Android devices |
title_full_unstemmed | Using a Telegram chatbot as cost-effective software infrastructure for ambulatory assessment studies with iOS and Android devices |
title_short | Using a Telegram chatbot as cost-effective software infrastructure for ambulatory assessment studies with iOS and Android devices |
title_sort | using a telegram chatbot as cost-effective software infrastructure for ambulatory assessment studies with ios and android devices |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219545/ https://www.ncbi.nlm.nih.gov/pubmed/32989722 http://dx.doi.org/10.3758/s13428-020-01475-4 |
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