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A Framework for the Development of Context-Adaptable User Interfaces for Ubiquitous Computing Systems.

Gervasio Varela¹, Alejandro Paz-Lopez², Jose A Becerra³

¹Mytech Ingeniería Aplicada S.L., Ferrol 15403, Spain. gervasio.varela@mytechia.com.

Sensors (Basel, Switzerland)

|July 12, 2016

Summary

This summary is machine-generated.

This study introduces a UI abstraction framework for Ubiquitous Computing (UC) and Ambient Intelligence (AmI) systems. This approach simplifies developing adaptable user interfaces for diverse devices and environments, enhancing user experience.

Keywords:

ambient intelligence human-computer interface software engineering ubiquitous computing user interface

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Area of Science:

Human-Computer Interaction
Ubiquitous Computing
Ambient Intelligence

Background:

Developing user interfaces (UIs) for Ubiquitous Computing (UC) and Ambient Intelligence (AmI) systems presents challenges due to diverse devices, environments, and user needs.
Traditional approaches require developers to create numerous UIs for various user-environment combinations, increasing complexity and development time.

Purpose of the Study:

To propose a UI abstraction framework to simplify the development of adaptable and portable user interfaces for UC and AmI systems.
To enable a single UI design to be deployed across different devices and interaction modalities without redesign.

Main Methods:

The paper introduces a novel UI abstraction framework.
This framework focuses on creating a single, adaptable UI design.
The design supports deployment across various devices and interaction modalities.

Main Results:

The proposed framework significantly improves the portability of UC and AmI systems.
Developers can design a single UI that adapts to different environments and user preferences.
This leads to a more natural and seamless user experience.

Conclusions:

The UI abstraction framework effectively addresses the complexities of developing UIs for UC and AmI systems.
It enhances system portability and adaptability, reducing development burden.
This approach facilitates natural user interaction across diverse and evolving technological landscapes.