Mark P. Donnelly

TL;DR: This paper introduces a systematic approach to service personalisation for mobile users in pervasive environments and presents a service-oriented distributed system architecture that makes use of semantic technologies for user modelling and personalisation reasoning.

TL;DR: The current paper discusses the distinct stages conducted in the first phase of the project which resulted in the design and development of a user driven solution based on the needs of 17 patient/carer dyads across three trial sites.

TL;DR: A predictive adoption model for a mobile phone-based video streaming system, developed for people with dementia, is presented and the model derived from incorporating a k-Nearest-Neighbour algorithm using seven features was found to be the optimal classifier of assistive technology adoption forPeople with dementia.

TL;DR: The creation of a User Profile Ontology for context-aware application personalization within mobile environments is described and special emphasis is placed in the ontological modeling of dynamic components for use in adaptable applications.

TL;DR: A first-generation, mobile, video-based reminder system offers memory support to those afflicted with mild-stage Alzheimer's disease.