A framework for awareness maintenance

Talaei-Khoei, Amir; Ray, Pradeep; Parameshwaran, Nandan; Lewis, Lundy

doi:10.1016/j.jnca.2011.06.011

Cited by 8 publications

(3 citation statements)

References 126 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This review also looks at adoption approaches that have been recently examined as effective use of assistive technologies among the elderly. For this to happen, we customized the guidelines for realist reviews laid down by Pawson et al [10] and applied in several reviews such as [11], [12]. The realist approach has been proven [13] as an effective way of reviewing complex intervention with social aspects such as the matter of technology adoption among seniors.…”

Section: Methodsmentioning

confidence: 99%

Adoption of Assistive Technologies for Aged Care: A Realist Review of Recent Studies

Vichitvanichphong

Talaei-Khoei

Kerr

et al. 2014

2014 47th Hawaii International Conference on System Sciences

Self Cite

View full text Add to dashboard Cite

Objective: The main objective of this study is to identify the technologies that have recently been applied in aged care, the problems that these technologies have sought to address and the adoption approaches that have been taken.Method: This paper has conducted a realist review on studies published in information systems and medical informatics journals in the past five years on adoption of assistive technologies among seniors.Results: We have identified potential technologies that have been utilized to address seniors' daily life difficulties in three areas: independent living, social isolation, dementia and medication taking. We have also extracted the theoretical lenses used for studying the adoption of these technologies and available empirical evidences for the theories.Conclusion: Having put the findings of this review together, we have identified factors impacting adoption of technologies among elderly. These have been classified as factors related to technologies, allocated tasks, individuals and social influences.

show abstract

Section: Methodsmentioning

confidence: 99%

Adoption of Assistive Technologies for Aged Care: A Realist Review of Recent Studies

Vichitvanichphong

Talaei-Khoei

Kerr

et al. 2014

2014 47th Hawaii International Conference on System Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

“…Similarly, multiple service providers can be entrusted with the task of activity recognition using different non-overlapping sets of δ n so as to simultaneously increase the accuracy and speed of computation (data parallelism). A demo of our context-aware ECG monitoring and analysis solution can be found in the Cyber-Physical Systems (CPS) Lab webpage 1 .…”

Section: Case Study: Real-time Context-aware Health Monitoringmentioning

confidence: 99%

“…In addition, context awareness -defined as the state of knowledge of external and internal entities that cause a change in the user's situation -is crucial for appropriate interpretation of the vital sign data [1], [2]. Deriving contextual information pertaining to individuals (e.g., physical activity, location) as well as a group of individuals (e.g., degree and pattern of mobility, immediate environmental conditions) requires collaborative in-network processing of heterogeneous sensor data from numerous sources.…”

Section: Introductionmentioning

confidence: 99%

Mobile grid computing for data- and patient-centric ubiquitous healthcare

Viswanathan

Lee

Pompili

2012

2012 the First IEEE Workshop on Enabling Technologies for Smartphone and Internet of Things (ETSIoT)

View full text Add to dashboard Cite

Abstract-A new context-aware data-and patient-centric paradigm for ubiquitous healthcare is central to deliver personalized healthcare solutions to the elderly and the physically challenged. However, this new paradigm requires real-time inthe-field processing of wirelessly collected vital signs using inherently complex physiological models and analysis of the processed information (derived physiological parameters) under context (e.g., location, ambient conditions, current physical activity) to extract knowledge about the health condition of patients. As the computational capabilities of biomedical sensor nodes are insufficient to run these models, an innovative resource provisioning framework that harnesses the computing capabilities of under-utilized electronic devices in the vicinity (e.g., smart phones, laptops, tablets, DVRs, medical terminals) to form a mobile computing grid is presented. The framework is imparted with self-optimization and self-healing capabilities for efficiency and robustness under uncertainty, respectively. The proposed mobile grid management framework serves as a key enabling technology for Internet-of-Things-(IoT-) based next-generation ubiquitous healthcare solutions.

show abstract