Adaptive software architecture based on confident HCI for the deployment of sensitive services in Smart Homes

Area of Science:

• Human-Computer Interaction
• Ubiquitous Computing
• Health Informatics

Background:

• Smart spaces and home customization facilitate natural human-computer interaction.
• Smart Home technology is crucial for fields with limited technology acceptance, such as healthcare.
• Integrating smart home design with sensitive services can boost user adoption.

Purpose of the Study:

• Identify challenges in deploying sensitive services within smart spaces.
• Propose a software architecture for Smart Home platforms supporting sensitive services.
• Enhance user acceptance of sensitive services through user-centered design and activity theory.

Main Methods:

• Literature review to identify deployment challenges for sensitive services.
• Development of a novel software architecture for Smart Home platforms.
• Application of activity theory to inform the architecture's design for user understanding and service affordability.
• Proof-of-concept implementation and comparative analysis.

Main Results:

• The proposed architecture effectively models Smart Home functionalities for sensitive services.
• Activity theory integration aids in addressing user comprehension and affordability of assistive services.
• The proof-of-concept demonstrates the architecture's viability and potential advantages over existing solutions.

Conclusions:

• The developed software architecture, grounded in activity theory, offers a promising approach to increase user acceptance of sensitive services in smart homes.
• Addressing user interaction is key to overcoming barriers in adopting technologies like telemedicine and assistive care.
• Further research and implementation are warranted to validate the architecture's effectiveness in real-world smart space deployments.