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Related Experiment Video

Updated: Jun 21, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Measuring the impact of a moving target: towards a dynamic framework for evaluating collaborative adaptive

Laura O'Grady1, Holly Witteman, Jacqueline L Bender

  • 1Centre for Global eHealth Innovation, University Health Network, 190 Elizabeth St, Toronto M5G2C4, Canada. laura.ogrady@utoronto.ca

Journal of Medical Internet Research
|July 28, 2009
PubMed
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Traditional website evaluation metrics are insufficient for Web 2.0 health applications. This study proposes a new framework to assess collaborative, adaptive, and interactive health technologies, enhancing their evaluation and impact.

Area of Science:

  • Health Informatics
  • Web Science
  • Information Systems

Background:

  • Traditional website evaluation metrics (content credibility, usability, aesthetics) are insufficient for assessing modern health websites.
  • The rise of collaborative, adaptive, and interactive (Web 2.0) technologies necessitates new evaluation approaches.
  • Web 2.0 health applications enable greater user participation in content creation and maintenance.

Purpose of the Study:

  • To propose a comprehensive framework for evaluating collaborative, adaptive, and interactive health applications.
  • To address the limitations of existing metrics in the context of Web 2.0 health technologies.

Main Methods:

  • Conducted a comprehensive literature review across multiple databases.
  • Utilized terminology related to Web 2.0 technologies and health website evaluation.

Related Experiment Videos

Last Updated: Jun 21, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Main Results:

  • Presented a review of existing evaluation frameworks for digital health interventions.
  • Proposed a novel evaluation framework integrating collaborative, adaptive, and interactive technologies, grounded in evaluation theory.

Conclusions:

  • The proposed framework is applicable for researchers comparing Web-based interventions.
  • Non-profit organizations and clinical groups can use this framework to provide effective online health information and support.
  • Funding agencies can utilize this framework to assess the impact of social networks and Web 2.0 technologies on health and healthcare systems.