Monitoring wellbeing and stress is one of the problems covered by ambient
intelligence, as stress is a significant cause of human illnesses directly
affecting our emotional state. The primary aim was to propose a deliberation
architecture for an ambient intelligence healthcare application. The
architecture provides a plan for comforting stressed seniors suffering from
negative emotions in an assisted living home and executes the plan considering
the environment's dynamic nature. Literature was reviewed to identify the
convergence between deliberation and ambient intelligence and the latter's
latest healthcare trends. A deliberation function was designed to achieve
context-aware dynamic human-robot interaction, perception, planning
capabilities, reactivity, and context-awareness with regard to the environment.
A number of experimental case studies in a simulated assisted living home
scenario were conducted to demonstrate the approach's behavior and validity.
The proposed methods were validated to show classification accuracy. The
validation showed that the deliberation function has effectively achieved its
deliberative objectives