Ambient Intelligence (Aml) refers to electronic environments that are sensitive and responsive to the presence of people.
In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in easy, natural ways using information and intelligence that is hidden in the network connecting these devices.
Games research interests are focused on Experiential Based Learning in Virtual environments, VLE\Virtual World Integration, Hardware\Virtual World Integration and Virtual\Augmented Reality and perceptual computing.
The research team has a combined experience of many decades with multi-disciplinary backgrounds in areas including concurrent & distributed systems; virtual worlds, serious games, computer networking; health technologies; pervasive computing; internet security, mobile and perceptual computing.
The AmI group are focusing on the location determination aspect in order to facilitate the arrival of location aware services.
Mobile devices are associated with network technologies that have the potential to provide user location and context cues to the services they offer. Location data alone has little value, but when it is used to expand the variety of mobile applications through timely, personalised content reactive to dynamic environments, it offers great return for very little additional bandwidth use. The potential exists for the education community to deploy location-aware systems in a number of contexts to the direct benefit of their users, both in allowing mobile nodes to determine their own position and in allowing the network operator to monitor the position of nodes.
Games research interests are focused on Experiential Based Learning in Virtual environments, VLE\Virtual World Integration, Hardware\Virtual World Integration and Virtual\Augmented Reality and perceptual computing.