Interacting with the ubiquitous computer: towards embedding interaction
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Context-Aware Artifacts: Two Development Approaches
IEEE Pervasive Computing
Personal and Ubiquitous Computing
Developing a questionnaire for measuring mobile business service experience
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
A taxonomy for and analysis of multi-person-display ecosystems
Personal and Ubiquitous Computing
Towards the ubiquitous visualization: Adaptive user-interfaces based on the Semantic Web
Interacting with Computers
COIVA: context-aware and ontology-powered information visualization architecture
Software—Practice & Experience
Hefestos: a model for ubiquitous accessibility support
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
RFID-driven situation awareness on TangiSense, a table interacting with tangible objects
Personal and Ubiquitous Computing
UCSA: a design framework for usable cognitive systems for the worried-well
Personal and Ubiquitous Computing
Personal and Ubiquitous Computing
An NFC based context-aware solution for access to bibliographic sources in university environments
Journal of Ambient Intelligence and Smart Environments - Context Awareness
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The ambient intelligence paradigm involves one important challenge: to be adaptive to users and context through simple and natural interactions. To meet this goal, it is important to associate data with relevant everyday objects in the environment, including users themselves, and to enable interaction mechanisms between these objects. Following this premise, in this paper, we present a conceptual model to link contextual information with augmented elements acquired from user interactions in an implicit and transparent way. In this way, it is possible to personalize and enhance offered services in order to facilitate daily user activities. We call this contextual data "awareness marks", and these awareness marks make it possible to offer novel services adapted from past events that were captured as they happened. Moreover, we have developed and evaluated a set of prototypes using Near Field Communication technology, which follows the presented model.