Static anthropometric data consists of body measurements taken while a person remains in a fixed, standardized position. Dynamic anthropometric data measures reach, movement, and the space occupied while a person performs an activity.
How the Two Types of Data Differ
Anthropometric data describes human body size and physical capability. Designers apply it within ergonomics so products, environments, and systems fit intended users safely and effectively.
| Static data | Dynamic data |
|---|---|
| Recorded with the body stationary | Recorded during movement or a task |
| Fixed dimensions: standing height, shoulder width, seated eye height | Functional dimensions: forward reach, arm movement, bending space |
| Supports seat height, doorway width, and desk clearance | Supports control placement, reach envelopes, and operating space |
| Uses a standardized posture | Varies with posture, task, motion, and constraints |
For example, a workstation designer may use static seated height to set the work-surface height. Dynamic reach data is then needed to place frequently used controls where users can operate them without excessive stretching or twisting.
Both types are often expressed using percentiles, which show the proportion of a population at or below a measurement. A designer may use a low percentile for reach so users with shorter arms can access a control, but a high percentile for clearance so larger users can fit. Adjustability can accommodate a broader percentile range.
A common misconception is that dynamic data is simply static data collected repeatedly. This is incorrect: dynamic anthropometric data describes functional movement and the space occupied during a task, not repeated stationary measurements.
Exam Technique
In an IB Design Technology response, define both terms, give one relevant example of each, and link each data type to a design decision. For a comparison question, state that static data determines fixed dimensions, whereas dynamic data informs reach, movement, and clearance requirements.