Integrated data visualisation: an approach to capture older adults' wellness.

Area of Science:

• Gerontology
• Health Informatics
• Human-Computer Interaction

Background:

• Older adults increasingly use technology to maintain health and independence.
• Integrating diverse health data is crucial for a holistic view of well-being.
• Existing data visualization methods may increase cognitive load for users.

Purpose of the Study:

• To present an approach for integrating health-monitoring data for older adults.
• To describe techniques for assessing and visualizing integrated health and well-being.
• To explore challenges in designing visual displays for multiple user groups.

Main Methods:

• Developed an approach for integrating health-monitoring data.
• Created and evaluated three distinct visualization techniques for integrated health data.
• Focused on reducing cognitive load during data interpretation.

Main Results:

• Demonstrated the feasibility of creating a comprehensive wellness measure from integrated data.
• Identified challenges in designing visual displays for diverse user needs.
• Showcased three visualization techniques offering alternatives for data display.

Conclusions:

• Integrated health data visualization can support older adults' health and independence.
• Visual displays can be incorporated into personal health records for informed decision-making.
• Designing effective visualizations requires careful consideration of user groups and cognitive load.