Guided internet-based cognitive therapy (iCBT) for depression is considered more effective than unguided iCBT, which may be explained by the higher adherence rates found for the guided format. Unguided iCBT, on the other hand, is potentially more scalable and accessible as it does not require human involvement. This thesis explores whether this gap between unguided and guided interventions, i.e., effectiveness versus scalability and accessibility, can be bridged using embodied conversational agents (ECAs). ECAs are more or less autonomous virtual characters with an embodiment used to communicate with a user, and may be used to provide automated iCBT support. With endless possible variations in ECA embodiments, ways of communicating, and reasoning capabilities, there is no clear solution to designing an ECA for iCBT support. The two research goals of this thesis are to (1) design and develop an ECA for iCBT support based on what is known to work and (2) establish whether such an ECA can increase adherence to unguided iCBT. Chapter 2 presents the results of a scoping review into the use of ECAs in the treatment of common mental health disorders. We followed up on the literature review by conducting two experimental studies to further inform the design of our ECA. In the first of these, described in Chapter 3, we investigated whether feedback from a minimalistic ECA could increase adherence. In the second experimental study, described in Chapter 4, we validated a sentiment analysis algorithm for the Dutch language against human judgment in an iCBT context. In the next two studies we looked more closely into the content of real-world iCBT feedback to inform the design of our ECA dialogues. Chapter 5 presents a study that aimed to identify which therapist behaviors occur in written online feedback, assess how well therapists adhere to feedback instructions, and explore whether either is associated with patient outcomes. Chapter 6 presents another study into the content of therapist feedback and adherence to feedback instructions. The research above comes together in the development of Moodbuster Lite, a 4-week iCBT intervention for low mood with integrated ECA support. Chapter 7 describes the protocol of a pilot two-armed randomized controlled trial (Moodbuster Lite with ECA support vs. Moodbuster Lite without ECA support) that evaluates the intervention, assessing the effectiveness of virtual coach support in terms of improved intervention adherence, as well as the feasibility of a future, larger-scale trial with Moodbuster Lite. The design of the ECA that was developed to function as a virtual coach in Moodbuser Lite, was largely informed by the research conducted in Chapters 2 to 6; it has a reasonable amount of technological sophistication (Chapter 3), applies automated sentiment analysis (Chapter 4), interacts according to iCBT feedback protocols (Chapters 5 and 6), and targets a clinically relevant outcome (Chapter 2), i.e., adherence. After the subsequent integration of the ECA with the Moodbuster Lite intervention, and having obtained formal ethical approval, Moodbuster Lite is now ready for evaluation in a pilot randomized controlled trial as described in Chapter 7. The intervention and study design show how a bridge between guided and unguided iCBT interventions was built in the form of Moodbuster Lite, and the pilot RCT will inform how the bridge can be further improved.
|Award date||1 Jun 2021|
|Place of Publication||s.l.|
|Publication status||Published - 1 Jun 2021|
- Embodied Conversational Agents
- Cognitive Behavioral Therapy
- Clinical Psychology
- eMental Health