Dataset Handle: 20.500.14123/1743
Supplementary Material for the Paper "The Promise and Challenges of Computer Mouse Trajectories in DMHIs - A Feasibility Study on Pre-Treatment Dropout Predictions"
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Chronological data
Date of availability in catalog2025-01-23
Available from / since 2025-01-23
Language of the resource
English
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Abstract
Empirical evidence suggests that how one moves their mouse holds information on motivation and attention, both valuable aspects otherwise difficult to measure at scale. Further, mouse trajectories can already be collected on pre-treatment questionnaires, making them a promising candidate for early predictions informing treatment allocation. Therefore, this study investigates how to gather and process mouse trajectory data on questionnaires in Digital Mental Health Interventions (DMHI). As a feasibility study, the researchers collected mouse trajectory data from 183 patients filling out a pre-intervention depression questionnaire.
Resource type
Dataset
Kinds of Data
Programs and Applications
Context Materials / Supporting information
Context Materials / Supporting information
Methods
Description
Programming / Script-based data collection
Programming / Script-based data collection
Thematic classification
Nutzerverhalten
Keywords
Data Science; Computermaus; Nutzerverhalten; Prognose; Digitale Gesundheit; Mentale Gesundheit; Intervention; Motivation; Aufmerksamkeit; Algorithmus; Data Science; Computer Mouse; User Behavior; Prediction; Digital Health; Mental Health; Intervention; Motivation; Attention; Algorithm