Adaptive Software Architecture Based on Confident HCI for the Deployment of Sensitive Services in Smart Homes
AbstractSmart spaces foster the development of natural and appropriate forms of human-computer interaction by taking advantage of home customization. The interaction potential of the Smart Home, which is a special type of smart space, is of particular interest in fields in which the acceptance of new technologies is limited and restrictive. The integration of smart home design patterns with sensitive solutions can increase user acceptance. In this paper, we present the main challenges that have been identified in the literature for the successful deployment of sensitive services (e.g., telemedicine and assistive services) in smart spaces and a software architecture that models the functionalities of a Smart Home platform that are required to maintain and support such sensitive services. This architecture emphasizes user interaction as a key concept to facilitate the acceptance of sensitive services by end-users and utilizes activity theory to support its innovative design. The application of activity theory to the architecture eases the handling of novel concepts, such as understanding of the system by patients at home or the affordability of assistive services. Finally, we provide a proof-of-concept implementation of the architecture and compare the results with other architectures from the literature. View Full-Text
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Vega-Barbas, M.; Pau, I.; Martín-Ruiz, M.L.; Seoane, F. Adaptive Software Architecture Based on Confident HCI for the Deployment of Sensitive Services in Smart Homes. Sensors 2015, 15, 7294-7322.
Vega-Barbas M, Pau I, Martín-Ruiz ML, Seoane F. Adaptive Software Architecture Based on Confident HCI for the Deployment of Sensitive Services in Smart Homes. Sensors. 2015; 15(4):7294-7322.Chicago/Turabian Style
Vega-Barbas, Mario; Pau, Iván; Martín-Ruiz, María L.; Seoane, Fernando. 2015. "Adaptive Software Architecture Based on Confident HCI for the Deployment of Sensitive Services in Smart Homes." Sensors 15, no. 4: 7294-7322.