Related Experiment Video
Updated: Feb 8, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Task-Data Taxonomy for Health Data Visualizations: Web-Based Survey With Experts and Older Adults
Sabine Theis1, Peter Wilhelm Victor Rasche1, Christina Bröhl1
1Human Factors Engineering and Ergonomics in Healthcare, Chair and Institute of Industrial Engineering and Ergonomics, RWTH Aachen University, Aachen, Germany.
This study developed a health data visualization taxonomy based on older adults' input, improving eHealth system design and user understanding. It confirms time-dependent data
Area of Science:
- Human-Computer Interaction
- Health Informatics
- Usability Engineering
Background:
- eHealth increasingly uses data visualizations for user health understanding.
- Existing task-data taxonomies lack the perspective of prospective eHealth users, especially older adults.
- User-centered design requires understanding user tasks and data types for effective visualization.
Purpose of the Study:
- To construct a task-data taxonomy for health data visualizations incorporating older adults' perspectives.
- To provide an orientation for system requirement analysis and empirical evaluation in eHealth.
- To facilitate a common understanding and language in eHealth data visualization.
Main Methods:
- Quantitative analysis of online survey responses from 98 participants (51 older adults, 47 eHealth experts).
- Comparison of opinions between older adults and eHealth experts.
- Synthesis of data into a comprehensive task-data taxonomy for health data visualizations.
Main Results:
- Confirmed consultation, diagnosis, mentoring, and monitoring as key eHealth tasks.
- Identified significant disagreements between older adults and experts on the importance of mentoring and monitoring.
- Time-dependent data emerged as the most relevant data type across all eHealth tasks.
Conclusions:
- An empirically developed task-data taxonomy for health data visualizations now includes prospective user perspectives.
- The taxonomy offers a framework for user-centered system design and evaluation in eHealth.
- The functionality dimension of the taxonomy for telemedicine was confirmed.
Related Concept Videos
Data Collection by Survey
Surveys
Data Reporting and Recording
Taxonomy
Hierarchy of Taxonomy
The hierarchy that Carolus Linnaeus first...
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
How Data are Classified: Numerical Data
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...

