Options
O'Grady, Michael J.
Preferred name
O'Grady, Michael J.
Official Name
O'Grady, Michael J.
Research Output
Now showing 1 - 10 of 17
- PublicationDiversity & interoperability : wireless technologies in ambient assisted living(2010-04-22)
; ; ; ; ; Ambient Assisted Living (AAL) demands the seamless integration of a range of technologies such that the particular needs of the elderly may be met. Given the heterogeneity of the elderly population, in their needs and circumstances amongst others, this is a significant challenge. In essence, it demands that a disparate suite of technologies be deployed, integrated, managed and interacted with in a seamless and intuitive fashion. In this paper, how this heterogeneity may be managed is discussed. In particular, the use of ontologies and middleware are proposed as potential solutions to this heterogeneity problem.648 - PublicationEmbedded agents: a paradigm for mobile services(Inderscience, 2006-01)
; ; ; Mobile computing radically challenges some of the traditional assumptions associated with the software development lifecycle, and end-user behaviour. Successfully meeting these challenges is of fundamental importance if mobile computing is to fulfil its considerable potential. One approach to this concerns the prudent and selective adoption of intelligent techniques. However, reconciling the conflicting demands of deploying sophisticated resource-intensive computational algorithms on devices that are inherently resource-poor raises significant difficulties. Recent developments in intelligent agent technologies offer one viable approach to resolving this conflict. This paper explores the state-of-the-art in mobile computing and intelligent agents. In particular, issues pertinent to the deployment of agents on mobile devices are considered in detail. To illuminate this discussion, the implementation of one such framework is described720Scopus© Citations 26 - PublicationHow Smart Is Your City?(American Association for the Advancement of Science, 2012-03-30)
; The idea of ambient intelligence implies an intrinsic link between individuals and their environment, enabling individuals to access and interact with computing artifacts in ways that are intuitive and do not disrupt everyday activities. Given the many different environments encountered as part of everyday life—within the home (1) as well as beyond it—enabling such interaction is a formidable technological challenge. The reward may be an environment that is safer, uses less energy, and responds to the needs of all individuals (see the figure). Recent advances in embedded systems, robotics, and sensor technology suggest that ambient intelligence may indeed be realized, particularly if crucial privacy and security concerns are addressed.1912Scopus© Citations 107 - PublicationEasyLife : a location aware service oriented mobile information systemMany examples of Location-aware services have been developed in recent years as the enabling technologies mature. However, these services frequently exist in isolation and address specific niche markets. The diversity of the mobile computing community suggests that enabling dynamic combinations of location-area services would be an appropriate deployment strategy. In this way, customers could subscribe to those services that address their particular needs. This paper introduces EasyLife, an agent-based architecture designed to facilitate the development of suites of location-aware services that customers can configure according to their preferences.
1459Scopus© Citations 2 - PublicationOrange alerts : lessons from an outdoor case study.Ambient Assisted Living (AAL) is of particular relevance to those who may suffer from Alzheimer’s Disease or dementia, and, of course, their carers. The slow but progressive nature of the disease, together with its neurological nature, ultimately compromises the behavior and function of people who may be essentially healthy from a physical perspective. An illustration of this is the wandering behavior frequently found in people with dementia. In this paper, a novel AAL solution for caregivers, particularly tailored for Alzheimer’s patients who are in the early stage of the disease and exhibit unpredictable wandering behavior, is briefly described. Salient aspects of a user evaluation are presented, and some issues relevant to the practical design of AAL systems in dementia cases are identified.
623 - PublicationIntelligent user interfaces for mobile computingIn this chapter, the practical issue of realizing a necessary intelligence quotient for realizing Intelligent User Interfaces (IUIs) on mobile devices is considered. Mobile computing scenarios differ radically from the normal fixed workstation environment that most people are familiar with; and it is in this dynamicity and complexity that the key motivations for realizing IUIs on mobile devices may be found. Thus the chapter initially motivates the need for the deployment of IUIs in mobile contexts by reflecting on the archetypical elements that comprise the average mobile user's situation or context. A number of broad issues pertaining to the deployment of AI techniques on mobile devices are considered before a practical realisation of this objective through the intelligent agent paradigm is presented. It is the authors hope that a mature understanding of the mobile computing usage scenario, augmented with key insights into the practical deployment of AI in mobile scenarios, will aid software engineers and HCI professionals alike in the successful utilisation of intelligent techniques for a new generation of mobile services.
1259 - PublicationImplicit interaction : a prerequisite for practical AmI(2009-06)
; ; ; ; ; Intelligent User Interfaces represent one of the three distinguishing characteristics of AmI environments. Such interfaces are envisaged as mediating between the services available in an arbitrary physical environment and its inhabitants. To be effective, such interfaces must operate in both proactive and passive contexts, implicitly and explicitly anticipating and responding to user requests. In either case, an awareness of the prevailing situation is essential – a process that demands a judicious combination of data and decision fusion, as well as collaborative and centralized decision making. Given the constraints of AmI environments realizing a distributed lightweight computational infrastructure augmented with a need to address user needs in a timely manner poses significant challenges. In this paper, various issues essential to enabling seamless, intuitive and instinctive interaction in AmI environments are explored.408 - PublicationEmbedding Agents within Ambient Intelligent Applications(IOS Press, 2012)
; ; ; ; ; This chapter reflects upon the challenges that confront the deployment of Ambient Intelligence (AmI) applications. Ambient Intelligence demands that everyday artefacts be imbued with intelligent reasoning capabilities together with the capacity for collaborative intelligent behaviour. Traditional ambient devices do not provide the requisite computational platform to support such requirements. With the ongoing developments of ubiquitous devices, however, the situation is changing. This chapter discusses a software stack, which supports the needs of ambient applications that incorporate embedded intelligence.1417 - PublicationAmbience & collaboration embedded agents in a human-centered world(2009-07)
; ; ; ; Supporting people in the pursuit of their everyday activities is a laudable objective and one which researchers in various disciplines including computing, actively seek to accomplish. The dynamic nature of the end-user community, the environments in which they operate, and the multiplicity of tasks in which they engage in, all seem to conspire against the desired objective of providing services to the end-user community in a transparent, intuitive and context -aware fashion. Indeed, this inherent complexity raises fundamental problems for software engineers as they frequently lack the tools to effectively model the various scenarios that dynamic user behaviour give rise to. This difficulty is not limited to exotic applications or services; rather, it is characteristic of situations where a number of factors must be identified, interpreted, and reconciled such that an accurate model of the prevailing situation at a given moment in time can be constructed. Only in this way, can services be delivered that take into account the prevailing human, social, environmental and technological conditions. Constructing such services calls for a software solution that exhibits, amongst others, diffusion, autonomy, cooperation and intelligence. In this paper, the potential of embedded agents for realising such solutions is explored.448 - PublicationExploiting multi-agent systems in realizing adaptivity in the mobile tourist domain(IOS Press, 2009-04)
; ; ; Ongoing developments in an array of mobile computing technologies have rendered the deployment of intelligent agents feasible on lightweight computational devices such as mobile phones. This development extends the Multi-Agent System (MAS) paradigm to a new frontier, opening up significant avenues of research in intelligent mobile computing, amongst others. To demonstrate the potential of this approach, the practical realization of adaptivity in two classic agent-based mobile computing applications is considered. Though focusing on the tourist domain, it is contended that the approach adopted is generalisable to a broad category of mobile computing applications.1396Scopus© Citations 4