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Related Experiment Video

Updated: May 11, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

A methodology and a web platform for the collaborative development of context-aware systems.

David Martín¹, Diego López-de-Ipiña, Aurkene Alzua-Sorzabal

¹Centre for Cooperative Research in Tourism, CICtourGUNE, Donostia-San Sebastián 20009, Spain. davidmartin@tourgune.org

Sensors (Basel, Switzerland)

|May 14, 2013

Summary

Developing context-aware systems is complex. This study introduces a web platform and methodology enabling collaborative development by programmers and domain experts, enhancing user experience through personalized services.

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Last Updated: May 11, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Operation of the Collaborative Composite Manufacturing (CCM) System

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Area of Science:

Computer Science
Human-Computer Interaction
Software Engineering

Background:

Personalization is key for optimal user experience, requiring context-aware systems to adapt functionality based on user data.
Developing context-aware systems is complex due to data acquisition, processing from heterogeneous sources, and managing distributed information.
Existing programming frameworks simplify development but hinder domain expert involvement, despite their crucial role in improving system accuracy and relevance.

Purpose of the Study:

To address the complexity of developing context-aware systems.
To facilitate collaboration between programmers and domain experts in the system development lifecycle.
To introduce a novel methodology and web platform for streamlined context-aware system creation.

Main Methods:

Implementation of a web platform designed for collaborative development.
Development of a guiding methodology for the creation of context-aware systems.
Evaluation of the implemented platform and methodology.

Main Results:

Successful implementation and evaluation of a web platform.
Demonstration of a viable methodology for collaborative system development.
Evidence that the approach can improve the development of context-aware systems.

Conclusions:

The developed web platform and methodology effectively support collaborative development of context-aware systems.
Integrating domain experts into the development process, alongside programmers, enhances system quality and user experience.
This approach offers a structured solution to the challenges in building complex, personalized, context-aware applications.