103 research outputs found
Development of a technology adoption and usage prediction tool for assistive technology for people with dementia
This article is available open access through the publisherās website at the link below. Copyright @ The Authors 2013.In the current work, data gleaned from an assistive technology (reminding technology), which has been evaluated with people with Dementia over a period of several years was retrospectively studied to extract the factors that contributed to successful adoption. The aim was to develop a prediction model with the capability of prospectively assessing whether the assistive technology would be suitable for persons with Dementia (and their carer), based on user characteristics, needs and perceptions. Such a prediction tool has the ability to empower a formal carer to assess, through a very limited amount of questions, whether the technology will be adopted and used.EPSR
Selecting the most suitable classification algorithm for supporting assistive technology adoption for people with dementia: a multicriteria framework
The number of people with dementia (PwD) is increasing dramatically. PwD exhibit impairments of reasoning, memory, and thought that require some form of selfāmanagement intervention to support the completion of everyday activities while maintaining a level of independence. To address this need, efforts have been directed to the development of assistive technology solutions, which may provide an opportunity to alleviate the burden faced by the PwD and their carers. Nevertheless, uptake of such solutions has been limited. It is therefore necessary to use classifiers to discriminate between adopters and nonadopters of these technologies in order to avoid cost overruns and potential negative effects on quality of life. As multiple classification algorithms have been developed, choosing the most suitable classifier has become a critical step in technology adoption. To select the most appropriate classifier, a set of criteria from various domains need to be taken into account by decision makers. In addition, it is crucial to define the most appropriate multicriteria decisionāmaking approach for the modelling of technology adoption. Considering the aboveāmentioned aspects, this paper presents the integration of a fiveāphase methodology based on the Fuzzy Analytic Hierarchy Process and the Technique for Order of Preference by Similarity to Ideal Solution to determine the most suitable classifier for supporting assistive technology adoption studies. Fuzzy Analytic Hierarchy Process is used to determine the relative weights of criteria and subcriteria under uncertainty and Technique for Order of Preference by Similarity to Ideal Solution is applied to rank the classifier alternatives. A case study considering a mobileābased selfāmanagement and reminding solution for PwD is described to validate the proposed approach. The results revealed that the best classifier was kānearestāneighbour with a closeness coefficient of 0.804, and the most important criterion when selecting classifiers is scalability. The paper also discusses the strengths and weaknesses of each algorithm that should be addressed in future research
The impact of urban renewal on engagement in physical activity in a socio-economically disadvantaged population a qualitative evaluation
Technology Adoption and Prediction Tools for Everyday Technologies Aimed at People with Dementia
Predicting Technology Adoption in People with Dementia; Initial Results from the TAUT Project
Review article: hepatitis Eāa concise review of virology, epidemiology, clinical presentation and therapy
- ā¦