An Ambient Intelligent Prototype for Collaboration

Ambient Intelligence, 2012

The way that innovation is currently done requires a new research methodology that enables co-creation and frequent, iterative evaluation in realworld settings. This paper describes the employment of the living lab methodology that corresponds to this need. Particularly, this paper presents the way that the Amsterdam University of Applies Sciences (HvA) incorporates living labs in its educational program with a particular focus on ambient intelligence. A number of examples are given to illustrate its place in the university's curriculum. Drawing on from this, problems and solutions are highlighted in a 'lessons learned' section.

Lecture Notes in Computer Science, 2010

New learning methods are emerging in order to improve and facilitate the use of communication and informatics technologies both by students and professors. This paper describes an Ambient Intelligence application scenario based on Computer Supported Collaborative Learning and MANET in order to create creative and flexible e-learning environments where students can use wireless technologies for improving the leaning process.

2004

As technologies in the area of storage, connectivity and displays are rapidly evolving and business development is pointing to the direction of the experience economy, the vision of Ambient Intelligence is positioning the human needs central to technology development. Equipped with a special research instrument called HomeLab, scenarios of Ambient Intelligence are implemented and tested. As two examples of bringing real user experiences through display technology into the digital home, research on creating the feeling of immersion and the feeling of being connected, are discussed. Results from this work indicate that visual displays can indeed be used beyond simple information rendering but can actually play an important role in creating user experiences.

2008

Ambient Intelligence (AmI) offers the conception of systems and applications that will be sensitive and responsive to the presence of humans. The development of AmI environments is a complex task, as their features and functions can neither be predefined nor forecasted because of different emergent or synergic effects. Learning Management Systems (LMSs), a web based educational application, can serve as an experimental area wherein AmI solutions can be developed and tested.

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

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.

2004

We introduce our research on smart environments, in particular research on smart meeting rooms and investigate how research approaches here can be used in the context of smart museum environments. We distinguish the identification of domain knowledge, its use in sensory perception, its use in interpretation and modeling of events and acts in smart environments and we have some observations on off-line browsing and on-line remote participation in events in smart environments. It is argued that largescale European research in the area of ambient intelligence will be an impetus to the research and development of smart galleries and museum spaces.

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...

Ambient Intelligence, 2005

As technologies in the area of storage, connectivity and displays evolve rapidly and business developments point to the direction of the experience economy, the vision of Ambient Intelligence is positioning human needs central to technology development. This chapter describes concerted research efforts surrounding the HomeLab, a special research instrument that supports scientific investigations of the interaction between humans and technology. Such investigations reach beyond traditional usability and technology acceptance, aiming to characterize the nature of user experiences, measuring them and designing them. Starting from a historical view upon the vision of Ambient Intelligence, this chapter presents the HomeLab, the rationale for its setup and three related studies that were conducted within it. These studies have focused on technology use at home for leisure purposes; more specifically they have explored the experience of immersion from displays that extend beyond screen boundaries to encompass the lighting in a room, and the experience of social presence and connectedness with remote friends and family as they result from peripheral awareness displays.