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2004
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2 pages
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AI-generated Abstract
This paper explores the challenges and interactions within ambient intelligence environments, focusing on how users communicate with these embedded systems that permeate everyday life. It emphasizes the necessity of understanding users' emotional and social relationships with their surroundings, identifying gaps in current research regarding user experience and interaction modalities. The intention is to establish a dialogue about human-computer interaction in these contexts and to devise a comprehensive research agenda that addresses privacy, trust, and the fusion of information within intelligent environments.
Information Systems Frontiers, 2009
Ambient Intelligence (AmI) refers to predominantly electronic solutions that allow environments to be sensitive, adaptive, and responsive to the presence of people (Aarts et al. 2002). This opens up a world of unprecedented experiences to people in their day to day surroundings. Building on the early ideas of ubiquitous computing by Marc Weiser (1991) who envisioned a digital world where electronic devices are embedded to form a fine grained distributed network, AmI aims to go further in integration by involving the entire environment and any physical object in the interaction with people, thus improving their well being, productivity, creativity, and leisure through enhanced user system interaction. Furthermore, beyond mere physical integration of electronics, this paradigm focuses on the creation of enhanced experiences, thereby having major cultural and business related implications (Aarts and Encarnaçao 2006; Aarts and Marzano 2003). The notion ambience in Ambient Intelligence refers to the need for a large-scale embedding of technology in a way that it becomes unobtrusively integrated into everyday objects and environments. The notion intelligence reflects
Ambient Intelligence (AmI) deals with a new world where computing devices are spread everywhere (ubiquity), allowing the human being to interact in physical world environments in an intelligent an d unobtrusive way. These environments should be aware of the needs of people, customizing requirements and forecasting behaviors. AmI environments may be so diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, transports, touristic attractions, stores, sport installations, music dev ices, etc. In the aims of Ambient Intelligence, research envisages to include more in telligence in the AmI environments, allowing a better support to the huma n being and the access to the essential knowledge to make better decisions when i nter-acting with these environments. This paper can be seen as a State of the Art of Ambient Intelligence, according to an Artificial Intelligen ce (AI) perspective. We will define Ambient Intelligence; refer some of their pr ototype and syst...
IEEE Transactions on Systems, Man, and Cybernetics, 2005
Ambient intelligence (AmI) is a new multidisciplinary paradigm rooted in the ideas of NormanAuthor of the Invisible Computer [32]. and Ubiquitous Computing. AmI fosters novel anthropomorphic human–machine models of interaction. In AmI, technologies are deployed to make computers disappear in the background, while the human user moves into the foreground in complete control of the augmented environment. AmI is a user-centric paradigm, it supports a variety of artificial intelligence methods and works pervasively, nonintrusively, and transparently to aid the user. AmI supports and promotes interdisciplinary research encompassing the technological, scientific and artistic fields creating a virtual support for embedded and distributed intelligence.
For the past few decades people have faced a dramatic technological development. One of the new technologies that are predicted to be massively widespread in the future is Ambient Intelligence. One can imagine Ambient Intelligence as an environment with embedded sensors enabling the environment to anticipate wishes of its users and to adapt itself accordingly. Development and utilization of such environments, however, entail new threats. The aim of this paper is to identify these threats and the dangers resulting from the need to collect and further process all kinds of data in order to provide highly personalized services.
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2009
Ten years of AmI research have led to many new insights and understandings about the way highly interactive environments should be designed to meet the requirement of being truly unobtrusive and supportive from an end-user perspective.
2013
Abstract:-Configuration of the computing and communications systems found at home and in the workplace is a complex system design that currently requires the attention of the user. Recently, researchers have begun to explore computers that would autonomously configure their functionality based on observations of who or what is surrounding them. By determining their context, using input from sensor systems distributed throughout the environment, computing devices could personalize themselves to their current user, adapt their behaviour according to their location, or interact to their surroundings. This field of intelligence is called Ambient Intelligence (AmI). There has been increasing interest in building networks with AmI, which incorporates the user-centricity and context awareness, or in short AmI is a new information paradigm where people are empowered through a digital environment that is “aware ” of their presence, context and is sensitive, adaptive, responsive to their need...
Atlantis Ambient and Pervasive Intelligence, 2013
This paper briefly outlines the scientific area that addresses Ambient Intelligence applications in which not only sensor data, but also knowledge from the human-directed sciences such as biomedical science, neuroscience, and psychological and social sciences is incorporated. This knowledge enables the environment to perform more in-depth, human-like analyses of the functioning of the observed humans, and to come up with better informed actions. It is discussed which ingredients are important to realise this view, and how frameworks can be developed to combine them to obtain the intended type of systems: reflective coupled human-environment systems. Finally, further perspectives are discussed for Ambient Intelligence applications based on these reflective coupled human-environment systems.
Communications in Computer and Information Science, 2010
We are gradually making a transition to a new era where computers become truly intertwined with our daily lives. Up to not so long ago, we were able to know clearly where computers were and in which way they affected our lives. This has been gradually blurred and now computing devices of various types are all around us, embedded in different objects we interact with and in that way they influence our lives. There are indications that this trend is irreversible and that computing and society will now interact with each other in far richer ways than before, to the point that computing will become transparent to humans and still intrinsically involved in our daily living. This paper provides a brief overview of the evolution of these fields, describes some of the current developments, and points at some of the immediate challenges that researchers in these area face. Fig. 1. Historical evolution and shift on availability of computing power per person.
IEEE Expert / IEEE Intelligent Systems, 2008
Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with people. These environments should be aware of people's needs, customizing requirements and forecasting behaviors. AmI environments can be diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, vehicles, tourist attractions, stores, sports facilities, and music devices. Artificial intelligence research aims to include more intelligence in AmI environments, allowing better support for humans and access to the essential knowledge for making better decisions when interacting with these environments. This article, which introduces a special issue on AmI, views the area from an artificial intelligence perspective.
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