| dc.description.abstract | The growing prevalence of mental health problems is a global concern. Current psychological treatments are effective for a wide range of mental health problems. Yet, treatments today fall short with regards to scalability and struggle to meet the demand for help. To treat patients in a more cost-effective, accessible, and scalable manner, InternetDelivered Psychological Treatment (IDPT) has posed as a promising solution. Although, IDPT has shown encouraging results, the technology falls short in some regards. One such shortcoming is low user adherence. Adaptive IDPT that allow for personalizing treatment to patient needs may help solve the issue of high drop-out rates in IDPT as they are thought to aid in increasing user adherence. Yet, to adapt and personalize treatment there is a need of meaningful data about patients. In this thesis, we have created an artifact for the use of wearable data in IDPT. More specifically, our artifact can be split in two parts: (1) an extension of an IDPT framework that serves as a general component and allows for the utilization of wearable data to support Ecological Momentary Assessment (EMA) and (2) a demonstrative component that provides an example of how wearable data may be utilized in interventions to support adaptation. We have created an artifact, comprised of these two components, according to the design science research methodology. Through semi-structured interviews with domain experts of electrical engineering and psychology our artifact has been evaluated. As a result of this evaluation, we have learned that our artifact can serve as a basis for future research. | |
