
The Digital Stress Test (DST) is a novel digital research tool that enables the standardized induction and (video-)recording of acute stress responses in outside-the-lab settings.
It is designed as an easy-to-use smartphone web application where participants can conduct stress studies without any direct communication to researchers or additional resources required (i.e. wearables or native application downloads).
Based on well-known stress induction principles of classical stress paradigms, the DST comprises a mental arithmetic task and several verbal-answering scenarios. Multiple elements of social evaluative threat and uncontrollability enhance the stress induction paradigm to elicit a robust psychosocial stress response; a control version (C-DST) without said elements is also available. At the same time it enables the collection of multimodal behavior data through the front-camera and microphones of the devices. There is also a version with no data collection available if you are looking for a way to induce social evaluative stress. As an universal research tool, it can be easily adapted to different scenarios and potentially combined with other smartphone-applicable sensoring methods.
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Responsible researchers: |
Bhargav Acharya, Hanna Drimalla |
| E-Mail: | |
| Information on the use of the DST: |
There are several ways of using the DST. Please cite the following paper when publishing any work where the DST has been used: Norden M, Hofmann A, Meier M, Balzer F, Wolf O, Böttinger E, Drimalla H Inducing and Recording Acute Stress Responses on a Large Scale With the Digital Stress Test (DST): Development and Evaluation Study J Med Internet Res 2022;24(7):e32280 URL: https://www.jmir.org/2022/7/e32280 DOI: 10.2196/32280 |
| Demo-versions (online): |
DST: https://www.digitalstresstest.org/ |
| No-data-collection versions: |
If you want to use the (C-)DST for stress induction only and do not plan to collect any data with it, an adapted collaborator version without any logging, questionnaires, consenting or debriefing can be used with the following links: DST: https://digitalstresstest.org/collaborator_dst |
| Code: | |
| Acknowledgments: | We would like to thank Amin Hofmann, Martin Meier, Kira Loos and Steffen Johannknecht for their valuable contributions in developing the DST web application. |
| License: | GPL 3.0. The DST can be installed on your own servers or used in cooperation with Bielefeld University. If you have any questions, please contact Bhargav Acharya. |