Short answer
Designers should opt for chart and graph visualizations for smartwatch health data, favoring static displays for critical information and considering dark mode for improved user experience.
- Field
- Human Factors
- Source
- Scientific Reports (2025)
- Method
- Experimental research
- Sample
- 135 participants (45 per experiment)
- Evidence
- Strong effect
When designing smartwatch interfaces for health information, utilizing charts and graphs significantly improves user comprehension and preference over plain text, especially during varying levels of physical activity. This human factors research insight is drawn from a 2025 study published in Scientific Reports. Using Experimental research with 135 participants (45 per experiment), researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers should opt for chart and graph visualizations for smartwatch health data, favoring static displays for critical information and considering dark mode for improved user experience.
Smartwatch data visualization: Charts and graphs outperform text in dynamic environments
When designing smartwatch interfaces for health information, utilizing charts and graphs significantly improves user comprehension and preference over plain text, especially during varying levels of physical activity.
Scientific Reports · 2025
Key Findings
- 01Charts and graphs significantly outperformed text in both cognitive performance and subjective perception.
- 02Non-animated presentations led to higher cognitive performance than animated ones, though animations were preferred subjectively.
- 03Dark mode was rated more favorably than light mode for subjective perception.
Application
Design takeaway
Designers should opt for chart and graph visualizations for smartwatch health data, favoring static displays for critical information and considering dark mode for improved user experience.
How to apply
When designing a smartwatch app that displays heart rate, steps, or sleep data, use line graphs or bar charts instead of numerical readouts or descriptive text. Keep animations minimal or absent for core data displays.
Project actions
- 01When testing your smartwatch design, simulate different levels of user movement (e.g., sitting, walking, running) to see how easily users can read the information.
- 02Compare different visual representations (e.g., a simple number vs. a small bar graph) for the same data point to see which is faster and more accurate for users to interpret.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Systematic experimental design across multiple variables.
- +Inclusion of different motion scenarios relevant to smartwatch use.
Limitations
The specific types of health data and the complexity of the motion scenarios tested might not cover all possible use cases for smartwatch health applications.
Reliability & validity
The study uses a controlled experimental design with multiple conditions and participant groups, which enhances internal validity. Reliability would depend on the consistency of the measurement tools for cognitive performance and subjective ratings. Replicating the experiments with larger and more diverse samples would further strengthen generalizability.
Think critically
While animations were less effective for cognitive performance, they were preferred subjectively. How might designers balance these competing factors, perhaps by using subtle animations that enhance aesthetic appeal without significantly hindering information processing?
Design Principles
"Context-aware information hierarchy: Present information in a format optimized for the user's current cognitive load and environmental conditions."
This research highlights the critical need to tailor information display to user context, particularly for wearable devices where users may be in motion. Optimizing visualization formats can directly impact a user's ability to quickly and accurately understand vital health data, influencing their engagement with and reliance on the device.
What This Means for Your Design
When you're designing for smartwatches, especially for health info, use pictures like charts and graphs instead of just words. Also, don't use too many fancy animations because they can make it harder to understand quickly, even if they look cool. Dark mode is usually better than light mode for screens.
How to use in your project
- 1.Reference this study when justifying your choice of visualization methods for smartwatch interfaces, particularly if your design involves presenting data during user movement.
Add to My Project
Quick Cite
Paragraph starter
The design of smartwatch interfaces for health information requires careful consideration of the user's context, particularly motion. Research indicates that graphical representations such as charts and graphs are superior to text for cognitive performance and user preference, especially during dynamic activities. Furthermore, while animations may enhance subjective appeal, static visualizations often lead to more efficient information acquisition. The choice of color mode also impacts user perception, with dark mode generally being favored. Therefore, for optimal smartwatch health data display, designers should prioritize clear graphical formats, minimize distracting animations, and consider dark mode.
Source
Scientific Reports
Research on the design of smartwatch health information visualization presentation under different motion scenarios
journal · 2025
View sourceQuestions About This Research
- What does the research say about smartwatch data visualization: charts and graphs outperform text in dynamic environments?
- Designers should opt for chart and graph visualizations for smartwatch health data, favoring static displays for critical information and considering dark mode for improved user experience. Evidence: Scientific Reports (2025).
- Why does "Smartwatch data visualization: Charts and graphs outperform text in dynamic environments" matter for design?
- This research highlights the critical need to tailor information display to user context, particularly for wearable devices where users may be in motion. Optimizing visualization formats can directly impact a user's ability to quickly and accurately understand vital health data, influencing their engagement with and reliance on the device.
- How can designers apply this research?
- Designers should opt for chart and graph visualizations for smartwatch health data, favoring static displays for critical information and considering dark mode for improved user experience.
- What were the main findings?
- Charts and graphs significantly outperformed text in both cognitive performance and subjective perception.. Non-animated presentations led to higher cognitive performance than animated ones, though animations were preferred subjectively.. Dark mode was rated more favorably than light mode for subjective perception.
- What research method was used?
- Experimental research with 135 participants (45 per experiment).
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2025 journal from Scientific Reports.
- What should I do differently in my next project?
- When designing a smartwatch app that displays heart rate, steps, or sleep data, use line graphs or bar charts instead of numerical readouts or descriptive text. Keep animations minimal or absent for core data displays.
- What are the limitations?
- The study's findings on animation preference might not generalize to all animation types or user groups. The specific 'health information' content was not detailed, which could influence optimal visualization choices.