ESMvis: a tool for visualizing individual Experience Sampling Method (ESM) data.

Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation
Laura F BringmannGert Stulp

Abstract

The experience sampling method (ESM) is used for intensive longitudinal time-series data collection during normal daily life. ESM data give information on momentary affect, activities and (social) context of, for example, patients suffering from mental disorders, and allows for person-specific feedback reports. However, current personalized feedback reports only display a selection of measured variables, and typically involve only summary statistics, thus not reflecting the dynamic fluctuations in affect and its influencing factors. To address this shortcoming, we developed a tool for dynamically visualizing ESM data. We introduce a new framework, ESMvis, for giving descriptive feedback, focusing on direct visualization of the dynamic nature of raw data. In this ESM feedback approach, raw ESM data are visualized using R software. We applied ESMvis to data collected for over 52 weeks on a patient diagnosed with an obsessive-compulsive disorder with comorbid depression. We provided personalized feedback, in which both the overall trajectory and specific time moments were captured in a movie format. Two relapses during the study period could be visually determined, and subsequently confirmed by the therapist. The therapist and pat...Continue Reading

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Citations

Oct 13, 2021·Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation·Jan R Boehnke, Claudia Rutherford

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