Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Barthelmäs, Michael, Killinger, Marcel, Keller, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
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
_version_ 1783710952902885376
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
work_keys_str_mv AT barthelmasmichael usingatelegramchatbotascosteffectivesoftwareinfrastructureforambulatoryassessmentstudieswithiosandandroiddevices
AT killingermarcel usingatelegramchatbotascosteffectivesoftwareinfrastructureforambulatoryassessmentstudieswithiosandandroiddevices
AT kellerjohannes usingatelegramchatbotascosteffectivesoftwareinfrastructureforambulatoryassessmentstudieswithiosandandroiddevices