Difficulties with speech and language affect one in twelve school-aged children, with Speech Sound Disorders (SSD) being a significant concern. SSD typically emerges in early childhood, impacting reading, writing, and language development. It includes difficulties with articulation, perception, and phonology, and its assessment process is extensive and time-consuming. To enhance efficiency and productivity within healthcare, this thesis aims to develop a digital platform to assess SSD in Swedish-speaking children. The platform leverages existing analog assessment materials from the Oral Motor Center at Danderyds Sjukhus in Stockholm, Sweden.
The methodology was an iterative design process divided into four phases: initial ideation, creating mock-ups, integrating gamification elements, and final validation. Each phase incorporated direct input from SLPs, demonstrating the collaborative nature of the platform’s development. Two Co-design workshops were conducted with Speech Language Pathologists (SLPs), and the results were thematically analyzed. Key findings highlighted the importance of simplicity, adaptability, privacy, manual control, minimal distractions, and positive reinforcement. The platform’s features include streamlined test administration with adaptability for SLPs to modify tests according to each child’s abilities, as well as engaging but non-distracting gamification elements during assessment. In addition, it provides easy access to the test database with minimal pairs, along with the ability to create new pairs to change the test content dynamically.
The successful development and validation of this digital tool underscore the importance of a user-centered approach in healthcare technology, ultimately contributing to better outcomes for children with speech and language difficulties.