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

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Published on: July 27, 2018

A web based tool for storing and visualising data generated within a smart home.

H A McDonald¹, C D Nugent, G Moore

¹Computer Science Research Institute and the School of Computing and Mathematics, University of Ulster. swan-h2@email.ulster.ac.uk

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|January 19, 2012

Summary

This summary is machine-generated.

Researchers need better ways to manage smart home data. The new homeML Application offers a web-based tool to help researchers store and organize diverse experimental data, showing positive initial usability results.

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Area of Science:

Computer Science
Human-Computer Interaction
Data Management

Background:

Smart home research generates complex, heterogeneous data requiring robust management solutions.
Existing data storage and management approaches may not adequately support the specific needs of smart home researchers.
A need exists to re-evaluate and improve tools for handling diverse data from smart home environments.

Purpose of the Study:

To introduce the homeML Application, a novel web-based tool designed for smart home researchers.
To present the core components of the homeML Application: the Repository and the Toolkit.
To evaluate the usability of the homeML Application among computer science researchers.

Main Methods:

Development of the homeML Application, a web-based platform.
Integration of the homeML Repository for data storage and the homeML Toolkit for data management.
Conducting a usability study with 10 computer science researchers.

Main Results:

The homeML Application was successfully developed and presented.
The fundamental components, homeML Repository and homeML Toolkit, were integrated.
Initial usability study results involving 10 computer science researchers were positive.

Conclusions:

The homeML Application provides a promising solution for managing heterogeneous data in smart home research.
The developed tool supports researchers in performing experiments more effectively.
Further evaluation and development are warranted based on positive initial usability findings.