Twente Intervention and Interaction Machine (TIIM)

TIIM is part of the research software provided and maintained by the BMS Lab. TIIM is aimed at providing researchers with the capability to study participants long-term or repeatedly (e.g. Cohort or longitudinal studies) and to present them with stimuli or measurement items (e.g.: questionnaires) based on a schedule or pre-determined conditions. TIIM allows researchers to create sets of questionnaires and present them to participants based on a schedule or conditions. Moreover, TIIM studies can be adapted to individual participants thanks to item routing and questionnaire conditions. TIIM will provide the researcher with a downloadable CSV file at the end of the study. It thus allows researchers to conduct more complex and longer (both in time and content) studies than similar research software. Read how to get started with TIIM at the bottom of this page.

Features

TIIM offers both a frontend (what the user sees) in the form of the TIIM app (Android and IOS) and a backend (what the researcher sees) that are continuously developed. Feature-wise TIIM is in a stable release and in addition to its core features offers:

• User-friendly backend for researchers
• Responsive and highly user-friendly frontend for participants
• Secure data storage on the UT network
• Intuitive data analysis and exportation
• Speech 2 text capabilities
• Interactive feedback based upon participant’s answers
• Vital sign coupling

Have an idea or need for a new function or a change to TIIM? Contact the BMS Lab to learn whether this is feasible. TIIM is a co-creation between the BMS Lab and researchers of the BMS faculty and is thus continuously evolving. You can be part of this process. Read more about our development process and the terms and conditions that apply on our special page.

Learn about TIIM

TIIM is the result of a multi year and iteration co-creation process between researchers from within the BMS faculty and the BMS Lab and is therefore continuously evolving. We try to communicate openly and quickly about relevant changes and or issues and to help researchers were possible, but are limited in our capacity. We strongly recommend that users study the TIIM tutorials found below and the article about best practices well before starting a study in TIIM. This can help prevent most potential questions and issues and allows the BMS Lab to support researchers in a timely manner. If you have questions on how to design or setup your study in TIIM after studying the learning materials, then please contact the BMS Lab. We are happy to help.

Please note that in all cases users of TIIM are fully responsible for their own study design, data collection and the resulting data. Collecting data that may be deemed sensitive or medical in nature in TIIM is possible. In these cases, researchers should always go through the required procedures (e.g.: ethical approval from a central ethical commission, MDR approval or AVG registration) for their individual studies.

How can I start using TIIM in my study?

1. Browse to https://bmslab.utwente.nl/sign-up-your-project/
2. Sign-up your new project or Reserve for an Existing one.

Warning: You need ethical approval before using TIIM

3. Fill in the form.
4. Continue to our Webshop to make a Reservation.
5. On the Quick Navigation, Click on 
6. Search for “TIIM”
7. Choose
8. Click on
9. Edit your Pick-up and Return date.
10. Click on
11. Register an account on the BMS lab dashboard.

Warning: Be sure to select the option to register using your UT account.

Note 1: The dashboard is used to edit and create studies that then become available to participants in the TIIM app. Download the TIIM app on your Android or IOS phone to view your study as a participant would.

Note 2: The whole 11 step process should take no longer than 15 minutes from start to end and can be done in a single go. Afterwards, your account needs to be approved by the BMS Lab before you can access the TIIM app through the dashboard. This will take place during the first opportunity (Tuesday or Thursday).

Publications

• Kip, H., Da Silva, M., Bouman, Y. H. A., van Gemert-Pijnen, L. J. E. W. C., & Kelders, S. M. (2021). A self-control training app to increase self-control and reduce aggression – A full factorial design. Internet interventions, 25, [100392]. https://doi.org/10.1016/j.invent.2021.100392
• Kip, H. (2021). The added value of eHealth: Improving the development, implementation and evaluation of technology in treatment of offenders. University of Twente. https://doi.org/10.3990/1.9789036551311
• Lentferink, A. J. (2021). Quantified eCoaching for Resilience Training: Combining self-tracking and persuasive eCoaching to train employees’ capacity for resilience: identification of values and requirements with stakeholders. University of Twente. https://doi.org/10.3990/1.9789036552783
• van ‘t Klooster, J. W. J. R., van Gend, J. E., Schreijer, M. A., de Witte, E. R., & van Gemert-Pijnen, L. J. E. W. C. (2021). Isolatiecoach: Een app als interventie ter bevordering van adherentie aan isolatie en quarantaine.
• Lentferink, A., Noordzij, M. L., Burgler, A., Klaassen, R., Derks, Y., Oldenhuis, H., Velthuijsen, H., & Gemert-Pijnen, L. V. (2021). On the receptivity of employees to just-in-time self-tracking and eCoaching for stress management: a mixed-methods approach. Behaviour & information technology. https://doi.org/10.1080/0144929X.2021.1876764
• Jongebloed-Westra, M., Bode, C., van Netten, J. J., ten Klooster, P. M., Exterkate, S. H., Koffijberg, H., & van Gemert-Pijnen, J. E. W. C. (2021). Using motivational interviewing combined with digital shoe-fitting to improve adherence to wearing orthopedic shoes in people with diabetes at risk of foot ulceration: study protocol for a cluster-randomized controlled trial. Trials, 22(1), [750]. https://doi.org/10.1186/s13063-021-05680-0
• van der Zeeuw, A. (2021). IoT as simple as Do Re Mi: A micro-figurational approach to the social context of Internet of Things skills and digital inequalities. University of Twente. https://doi.org/10.3990/1.9789036552844
• van ‘t Klooster, J. W. J. R., van Gend, J. E., Schreijer, M. A., de Witte, E. R., & van Gemert-Pijnen, L. J. E. W. C. (2022). The Value of eCoaching in the COVID-19 Pandemic to Promote Adherence to Self-isolation and Quarantine. In J-H. Kim, J. Khan, M. Singh, U. S. Tiwary, M. Sur, & D. Singh (Eds.), IHCI 2021 (pp. 417-422). (Lecture notes in computer science; Vol. 13184). Springer. https://doi.org/10.1007/978-3-030-98404-5_39

Student theses