Abstract
Smart 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.
Highlights
Ubiquitous computing presents an interesting scientific practice in which the computing capacity increases significantly due to the large number of technological elements that are integrated seamlessly into the environment and our daily lives
The interaction model that this scenario offers is of particular interest in the definition of smart spaces that are used for the deployment of critical and sensible services, such as the promotion of personal autonomy or telemedicine and e-health solutions [4]
To be accepted as a valid solution, systems that are based on ubiquitous computing, ambient intelligence and Internet of Things (IoT) must solve challenges that have not yet been adequately addressed
Summary
Ubiquitous computing presents an interesting scientific practice in which the computing capacity increases significantly due to the large number of technological elements that are integrated seamlessly into the environment and our daily lives. The Internet of Things (IoT) represents the step in this concept and offers the opportunity to arrange these physical objects into communication-actuating networks in a way that is similar to how digital information is organized on the Internet [1,2] In this way, both concepts in conjunction with ambient intelligence form a novel scenario that provides a customized view of the physical world [3] and offers interesting options to develop new interactive services for assisting people in performing certain tasks. The interaction model that this scenario offers is of particular interest in the definition of smart spaces that are used for the deployment of critical and sensible services, such as the promotion of personal autonomy or telemedicine and e-health solutions [4] This scenario is being studied as a new concept of development in the field of Ambient Assisted Living (AAL) and homecare because it facilitates the care of patients in their usual environments [5]. It provides socio-economic benefits that must be taken into account, such as the promotion of user autonomy, reduction of costs in the management of chronic patients and the possibility of establishing a more direct relationship between primary and specialized care [6]
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