University of Twente Student Theses
Enhancing App Content and Cognitive Bias Modification Techniques to Support Students Dealing with Stress for an Experience Sampling App
Pohl, V.P. (2024) Enhancing App Content and Cognitive Bias Modification Techniques to Support Students Dealing with Stress for an Experience Sampling App.
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| Abstract: | Effective digital mental health applications are becoming more and more necessary as stress and mental health problems among students become more common. Such devices can provide easily available solutions and support to aid with dealing with stress. This study aims to identify suitable Cognitive Bias Modification (CBM) techniques for use in an Experience Sampling (ES) app specifically designed for students dealing with stress. Additionally, it seeks to evaluate how these techniques should be designed to maximize user engagement. A usability test and semi-structured interviews were techniques used to collect the data. The second prototype improved significantly based on user feedback. Most participants found the app user-friendly with concise and appealing content. The Optimistic Reinterpretation and Shift Your Focus techniques were preferred. Participants enjoyed interactive features like praise notifications and suggested adding more techniques, customizable features, and regular content updates for better engagement. This study demonstrates that integrating CBM techniques into an app can effectively reduce students' stress levels. The improved second prototype emphasizes clear instructions and interactive features to enhance user engagement. However, further refinements are needed to successfully introduce the app and advance mental health support. |
| Item Type: | Essay (Bachelor) |
| Clients: | Unknown organization, Niederlande |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 77 psychology |
| Programme: | Psychology BSc (56604) |
| Link to this item: | https://purl.utwente.nl/essays/100115 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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