53,008 research outputs found

    Information and communication technology solutions for outdoor navigation in dementia

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    INTRODUCTION: Information and communication technology (ICT) is potentially mature enough to empower outdoor and social activities in dementia. However, actual ICT-based devices have limited functionality and impact, mainly limited to safety. What is an ideal operational framework to enhance this field to support outdoor and social activities? METHODS: Review of literature and cross-disciplinary expert discussion. RESULTS: A situation-aware ICT requires a flexible fine-tuning by stakeholders of system usability and complexity of function, and of user safety and autonomy. It should operate by artificial intelligence/machine learning and should reflect harmonized stakeholder values, social context, and user residual cognitive functions. ICT services should be proposed at the prodromal stage of dementia and should be carefully validated within the life space of users in terms of quality of life, social activities, and costs. DISCUSSION: The operational framework has the potential to produce ICT and services with high clinical impact but requires substantial investment

    A Context-Aware Mobile Recommender System for Places of Interest

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    In this paper we introduce a novel setting mindful portable recommender framework for spots of intrigue (POIs). Not at all like existing frameworks, which gain clients' inclinations exclusively from their past evaluations, has it considered additionally their identity - utilizing the Five Factor Model. Identity is gained by requesting that clients finish a brief and engaging poll as a major aspect of the enlistment procedure, and is then misused in: (1) a dynamic learning module that effectively obtains evaluations in-setting for POIs that clients are probably going to have encountered, consequently diminishing the anxiety and inconvenience to rate (or skip rating) things that the clients don't have a clue; and (2) in the suggestion display that develops on network factorization and in this manner can be prepared regardless of the possibility that the clients haven't appraised any things yet
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