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Body size, or anthropometric, data can be applied to the design of truck cabs in a number of ways. The traditional approach involves specifying single dimensions with a specific percentile (e.g., 95th percentile Seated Eye Height). However, anthropometric dimensions vary independently, so specifying multiple dimensions can result in impossible design targets. We propose the use of multivariate accommodation models that have been successfully used in aircraft cockpit design. This approach allows the simultaneous inclusion of a larger number of dimensions while simplifying design by limiting the number of actual test cases. We use a sample analysis to show how this approach can be usefully applied to truck cab design.

Three-dimensional (3D) whole body scanners provide an opportunity for collecting large quantities of precise point data on human forms. However, product designers will likely always need some access to traditional point-to-point dimensional measurements. These measurements can also be obtained from the 3D whole body scanner if appropriate software is developed. This project describes a validation test for a collection of software tools designed to extract traditional dimensions from 3D whole body scans. To validate the software we scanned 123 male and female subjects on a Cyberware WB4 whole body scanner. Subjects were also measured for point-to-point dimensions using traditional instruments. We compared the mean absolute differences between traditional and software measurements to interobserver error data collected in a large traditional anthropometric survey (ANSUR), and to various criteria specific to garment applications.