English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The work presented in this paper is focused on building Ambient Intelligence (AmI) applications capable of moving from one environment to another, while their user interface keeps adapting itself, autonomously, to the variable environment conditions and the available interaction resources.AmI applications are expected to interact with users naturally and transparently, therefore, most of their interaction relies on embedded devices that obtain information from the user and environment. This work implements a framework for AmI systems that elevates those embedded devices to the class of interaction resources. It does so by providing a new level of abstraction that decouples applications, conceptually and physically, from the different specific interaction resources available and their underlying heterogeneous technologies.In order to drive the adaptation process to environment changes, the system makes use of a set of models that describe the user, environment conditions and devices, and algorithms for context-aware selection of the interaction devices.

Autonomous adaptation of user interfaces to support mobility in ambient intelligence systems