Using context prediction for self-management in ubiquitous computing environments

Mulvenna, Maurice; Nugent, Chris; Gu, Xiaoyuan; Shapcott, Mary; Wallace, Jonathan; Martín, Sergio

doi:10.1109/ccnc.2006.1593094

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…It is to note that, there are many research works and real implementations, such as [13], [14], and [15], which are related to context extraction in different kind of devices and for different operating systems. Specially, there are remarkable works considering proximity detection using Bluetooth, RFID [16], or natural interaction [17], which are also applicable here.…”

Section: A Context Managermentioning

confidence: 99%

SuSSo: Seamless and ubiquitous single sign-on for cloud service continuity across devices

Arias-Cabarcos

Almenárez

Guerrero

et al. 2012

IEEE Trans. Consumer Electron.

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Section: A Context Managermentioning

confidence: 99%

SuSSo: Seamless and ubiquitous single sign-on for cloud service continuity across devices

Arias-Cabarcos

Almenárez

Guerrero

et al. 2012

IEEE Trans. Consumer Electron.

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“…Other works [29][30][31][32][33][34] have reported the importance of context awareness in a Smart House environment.…”

Section: Context Awarenessmentioning

confidence: 99%

A Review of Smart House Analysis Methods for Assisting Older People Living Alone

Sánchez

Pfeiffer

Skeie

2017

JSAN

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Smart Houses are a prominent field of research referring to environments adapted to assist people in their everyday life. Older people and people with disabilities would benefit the most from the use of Smart Houses because they provide the opportunity for them to stay in their home for as long as possible. In this review, the developments achieved in the field of Smart Houses for the last 16 years are described. The concept of Smart Houses, the most used analysis methods, and current challenges in Smart Houses are presented. A brief introduction of the analysis methods is given, and their implementation is also reported.

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“…Meanwhile, new technologies, techniques and methods of improvement have become a determining factor for the development of new models of health care provision and welfare role (Ailisto, Kotila, & Strommer, 2003;Mulvenna et al, 2006). The objectives of these new provision models are designed to meet the socioeconomic needs of this overcrowded society.…”

Section: Motivationmentioning

confidence: 99%

Accessible interaction solution based on confidence for the deployment of pervasive sensitive services in intelligent environments

Vega-Barbas¹

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Services based on the Information and Communications Technologies (ICT) are present more and more in the lives of people. The advancement of ICT in technical and social acceptance terms has led the creation of new models of service provision. These provision models involve further integration with people's activities so that are not only present in their professions or civic space but also in a more intimate areas related to their own identity. So it is now common to find services aware of user's health, their domestic habits, ideology, etc. Therefore, the analysis of existing services must be open out to include other aspects related to the way of being and feeling of their members. This way is possible to ensure both the technical correctness of its features as promoting safe and respectful solutions both of civic rights as the way of being and feeling of its members. From the engineering point of view, the user perspective has historically encompassed under the concept of technological acceptance. Within this field can be interpreted as friendly solutions adapted to users will encourage the acceptance by them. Solution acceptance is desirable although it is difficult to ensure. This difficulty is due to the lack of the number of variables that affect the acceptance of technological solutions and the difficulty of optimizing the known variables. In this thesis it is studied and characterized one of the variables that affect the acceptance of existing services: confidence. Confidence is defined in psychological terms, providing its characterization with the aim of be used in typical methods of engineering. Also different tools are proposed to facilitate the optimization of this confidence in services whose complexity establishes this variable in a basic issue to improve acceptance. Health services deployed in a home have been chosen as working context for this thesis. This scenario presents a number of acceptance restrictions on the technology used to create services and how they manage the acquired user information. It comes to highly sensitive and delocalized services that can affect to the user's perception of the environment, the home, and generate fear or rejection to prevent final adoption as a valid solution. Once defined the generic framework, the main objective of this dissertation is focused on promote the acceptance of new pervasive and personalized health services and their deployment in domestic intelligent environments through a layout that promotes a psychological state of confidence in users. To achieve this goal, a set of results, both conceptual, technological and experimental, have been provided. In particular, it has offered a complete characterization of the feeling of confidence from a viewpoint of engineering and a definition of sensitive or delocalized pervasive service. Furthermore, a method for the inclusion of the Interaction Design discipline in engineering processes of such services through a set of patterns of interaction is offered. Finally, this thesis provides the development of ...

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Using context prediction for self-management in ubiquitous computing environments

Cited by 4 publications

References 15 publications

SuSSo: Seamless and ubiquitous single sign-on for cloud service continuity across devices

SuSSo: Seamless and ubiquitous single sign-on for cloud service continuity across devices

A Review of Smart House Analysis Methods for Assisting Older People Living Alone

Accessible interaction solution based on confidence for the deployment of pervasive sensitive services in intelligent environments

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