View Item 
        •   Utrecht University Student Theses Repository Home
        • UU Theses Repository
        • Theses
        • View Item
        •   Utrecht University Student Theses Repository Home
        • UU Theses Repository
        • Theses
        • View Item
        JavaScript is disabled for your browser. Some features of this site may not work without it.

        Browse

        All of UU Student Theses RepositoryBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

        Investigating the Automation of Self-Help Therapies by means of Visual Tooling

        Thumbnail
        View/Open
        thesis_final_4118863.pdf (2.553Mb)
        Publication date
        2019
        Author
        Kolkman, G.J.
        Metadata
        Show full item record
        Summary
        There are many self-help therapies around, some are written in the form of books while others are internet-based. These forms share similarities but they also have their differences. One of these differences is the transfer of informa- tion. Where books only convey information one-way, internet-based therapy allows for interactivity between therapist and client. An e-coach is an exam- ple of a mobile agent that coaches their clients (coachees) through a process of behaviour change. These e-coaches mostly focus on a single therapy domain and are developed specifically for that. However, the creation of these e-coaches requires extensive technical knowledge and programming skills. Throwing up a barrier for writers of self-help books to develop their own e-coach. We propose a framework for an authoring tool (CoachLab), that allows au- thors of self-help treatments to develop e-coaches without technical knowledge. CoachLab is unique in its underlying generic framework that allows authors to generate conversation-based e-coaches for all therapy domains by only provid- ing therapy specific variables. For this research we focused on the development and generation of conversations. These conversations were created by analysing existing self-help books and e-coaches. Since CoachLab is based on conversations, it is important for authors to convey their message properly. Even though CoachLab enables authors to gen- erate these conversations based on specified variables, authors should be able to adapt them to their own insights. This should again be possible without any programming knowledge. The built-in dialogue editor allows authors to adapt existing and create fully new conversations. To conclude, we created a gener- alising framework for creating conversation-based e-coaches based on existing therapies and processes, along with an editing tool that removes the technical threshold for authors designing those conversations.
        URI
        https://studenttheses.uu.nl/handle/20.500.12932/33547
        Collections
        • Theses
        Utrecht university logo