University of Twente Student Theses
Engagement in Digital Health Interventions : Using engagement measures extracted from log data to predict subjective engagement and therapy outcomes
Rassers, D.T.M. (2023) Engagement in Digital Health Interventions : Using engagement measures extracted from log data to predict subjective engagement and therapy outcomes.
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| Abstract: | The goal for this study is to determine whether the engagement variables extracted from log data can predict subjective engagement and therapy outcomes. A quantitative correlational research design was used. Real-world data was collected on the use of a rumination intervention program. No direct relation was found between log data objective engagement measures and subjective engagement nor therapy outcomes. Future research into the topic of engagement from log data is advised to consider the goals and intentions of users, developers and therapists when attempting to predict therapeutic outcomes. |
| Item Type: | Essay (Master) |
| Clients: | Therapieland, Amsterdam, Netherlands |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 77 psychology |
| Programme: | Psychology MSc (66604) |
| Link to this item: | https://purl.utwente.nl/essays/95032 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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