Given the fact that more and more people possess a smartphone (cf. For about a decade, AA studies that focus on self-reports are typically implemented via participants’ smartphones (e.g., Killingsworth & Gilbert, 2010). Hence, AA studies are one important tool to improve the understanding of human experience and behavior by capturing self-reports (e.g., Engeser & Baumann, 2016), observations (e.g., Ellis-Davies, Sakkalou, Fowler, Hilbrink, & Gattis, M., 2012), as well as motoric (e.g., Tryon, 2005) and physiological signals (e.g., van Lier et al., 2020) in the field. Fahrenberg, Myrtek, Pawlik, & Perrez, 2007 Trull & Ebner-Priemer, 2014). This offers the opportunity to evaluate the generalizability of theories and to examine boundary conditions that cannot be examined in the laboratory (cf. Our Python script is licensed under General Public License (GPLv3) and therefore freely available and editable: Īmbulatory assessment (AA) studies can test psychological theories in everyday life. Initial data from a pilot study show that studies of this kind are feasible, and the procedure is accepted by participants. With our approach, AA studies can be carried out among iOS and Android users cost-effectively and reliably while data security is ensured. This means that data collection takes place exclusively via the selected survey software, not via Telegram. All common survey software designed for mobile devices can be used to present surveys to participants. 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. 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. 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.
Our approach works both for Android and iOS devices. In this work, we present an innovative and cost-effective approach to run ambulatory assessment (AA) studies on participants’ smartphones via Telegram Messenger.
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