Bielefeld University, Germany
Cognitive Assistive Technology, Task Analysis, Bayesian Network, Dynamic Timing Model, User Study.
Development of Assistive Technology
Health Information Systems
ICT, Ageing and Disability
We introduce a novel Cognitive Assistive Technology. The TEBRA system assists persons with cognitive disabilities in brushing teeth by prompting the user. We develop the system based on an analysis of the task using qualitative data analysis. We recognize different subtasks applying a hierarchical recognition framework based on a Bayesian Network. The user’s progress in the task is monitored using a Finite State Machine and dynamic timing model which allows for different velocities of task execution. We evaluate the TEBRA system in a first study with regular users. We found that the system is able to provide appropriate prompts in terms of timing and modality to assist a user through the complex task of brushing teeth.