Regular session - Reconfigurability and location-based services

sOc-EUSAI'2005 conference

Regular session - Reconfigurability and location-based services

O5-1 Automatic Semantic Platform-dependent Redesign
Mori, Giulio - Paterno, Fabio
As formated for the printed proceedings - 46.ps - 46.pdf - pages 177-182
As delivered by the authors - 46_pdf_file.pdf
Abstract :
Nowadays, many devices provide access to Web pages : desktops, mobile phones, PDAs, etc.. Often desktop user interfaces need to be redesigned for mobile devices in order to support nomadic access. The problem of adapting the interface to different platforms can be addressed in many ways. Low-level syntactical transcoding or just resizing elements do not seem able to provide general solutions: they often generate poor results in terms of usability because they follow rigid rules and mainly try to fit the same design into different devices. This paper presents our solution, which is based on platform-dependent semantic redesign. Semantic redesign means that transformation from one platform to another is based on the use of semantic information and not only on the analysis of the low-level implementation. In our case, such semantic information is contained in logical descriptions of the user interfaces that also capture the possible tasks users intend to accomplish.

O5-2 Coupling Interaction Resources : an Analytical Model
Coutaz, Joelle - Borkowski, Stanislaw - Barralon, Nicolas
As formated for the printed proceedings - 60.ps - 60.pdf - pages 183-188
As delivered by the authors - 60_pdf_file.pdf
Abstract :
This paper addresses the problem of coupling interaction resources. Coupling is the action of binding two entities so that they can operate together to provide a new set of functions. For example, coupling a piece of cardboard with a steerable camera-projector pair results in a portable interactive surface. Although coupling is not a new phenomenon, recent research demonstrates that coupling opens the way to unbounded forms of interaction. Because the risk of introducing complexity is high, we propose an analytical model that can serve two purposes: the model can be used to inform the design of novel user interfaces; the computational version of the model can be used at run time as a mechanism to evaluate candidate solutions when dynamic adaptation to the context of use must be undertaken. We illustrate the contribution of the model with three chosen running examples.

O5-3 Leveraging the subtleties of location
Dobson, Simon
As formated for the printed proceedings - 5.ps - 5.pdf - pages 189-194
As delivered by the authors - 5_pdf_file.pdf
Abstract :
Virtually all pervasive computing systems use location as a major parameter governing their behaviour. Simple models of location ignore the richness that arises from humans' perception of location which - if leveraged - can greatly improve a system's ability to reason with location information. We explore how this richness arises, how it can be used to improve reasoning, and the challenges that this gives rise to.

O5-4 A Location Model for Ambient Intelligence
Satoh, Ichiro
As formated for the printed proceedings - 20.ps - 20.pdf - pages 195-200
As delivered by the authors - 20_pdf_file.pdf
Abstract :
We present a world model for location-aware and user-aware services in ubiquitous computing environments. It can be dynamically organized like a tree based on geographical containment, such as in that a user-room-floor-building hierarchy and each node in the tree can be constructed as an executable software component. The model is unique to existing approaches because it enables location-aware services to be managed without databases, can be managed by multiple computers, and provides a unified view of the locations of not only physical entities and spaces, including users and objects, but also computing devices and services. A prototype implementation of this approach was constructed on a Java-based mobile agent system. This paper presents the rationale, design, implementation, and applications of the prototype system.