Visualizing Experience Sampling Data to Enhance Clinical Insights into Mental Resilience
A. Economides (TU Delft - Electrical Engineering, Mathematics and Computer Science)
E.C.S. de Groot – Mentor (TU Delft - Web Information Systems)
WP Brinkman – Mentor (TU Delft - Interactive Intelligence)
Reginald Lagendijk – Graduation committee member (TU Delft - Cyber Security)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Understanding mental resilience-how individuals recover from stressors-is a critical focus area for mental health practitioners. To support this, the Experience Sampling Method (ESM) can be utilized, which offers rich, real-time data for tracking emotional dynamics. However, visualizing these data in an informative and actionable way remains a challenge. This study presents a set of visualizations designed to depict emotional recovery trajectories by focusing on mood, emotions, types of stressors and the influence of coping activities. To assess whether the developed visuals are interpretable and useful to mental health professionals, a survey-based evaluation was conducted. Afterwards, thematic analysis was applied in order to analyze and present the results. What was highlighted in the results is that easy-to-interpret visuals, such as line graphs and heatmaps, were more likely to be considered intuitive and clinically relevant. Moreover, visualizations that incorporated contextual details, like specific emotional responses or coping strategies, were regarded as more insightful and valuable for guiding therapy.