I am a PhD candidate of psychology at the University of Salzburg. As a part of the psychotherapy research group, my current research interests are:
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Using the R programming language and the Shiny Framework, I developed a web application for the dynamic assessment of psychopathology. Using daily questionnaires concerning a person’s disorder, highly individualized disorder models can be derived. These models can help practitioners get a more in-depth understanding of their patients’ symptom dynamics. Also, interventions can be matched to the symptom structure so that they achieve maximum efficiency.
The development of the data assessment module is nearly complete and currently undergoing a pilot phase. Features include:
The assessment module will also process the data acquired automatically so that the correlational and time-dependent structure of the psychopathology is uncovered. The steps are:
These steps prepare the data so that they can be processed by the data analysis module. It is be able to plot time-series data from day-to-day questionnaires, including additional plots that show phases of critical instability. Also, the treatment planning module will offer an overview over a patient’s symptom structure based on the models generated by an automated treatment planning algorithm called DATA. The aim is to offer a guideline to plan interventions that are fit to the patient’s individual psychopathology and promise maximum efficacy. It is currently undergoing empirical examination.
Read more about the Software in the JMIR publication!
With decades of research, the efficacy of psychotherapy has been demonstrated clearly. Current psychotherapy research puts the focus more intensively on the question “How, for whom, and why exactly does psychotherapy work?“. In this seminar, we will deal with the processes and mechanisms that make psychotherapy successful.
Together with my PhD advisor Anton Laireiter, I advised master theses on the following topics:
Kaiser, T., & Laireiter, A. R. (2017). DynAMo: A Modular Platform for Monitoring Process, Outcome, and Algorithm-Based Treatment Planning in Psychotherapy. JMIR Medical Informatics, 5(3), e20. https://doi.org/10.2196/medinform.6808
Kaiser, T., Mirnig, A. G., Perterer, N., Meschtscherjakov, A., & Tscheligi, M. (2016, March 20–24). Car User Experience Patterns: A Pattern Collection in Progress. Paper presented at PATTERNS 2016: The Eighth International Conferences on Pervasive Patterns and Applications, Rome, Italy. Red Hook, NY: IARIA.
basically the cognitive, behavioral and emotional processing of psychotherapy within (intrasession) and in between (intrasession) psychotherapy sessions. Research suggests that experiences in between therapy sessions contribute greatly to therapy outcome. ↩
moment-to-moment assessments (opposed to static assessments) ↩