> > |
> >
To my mind, these problems are made worse by the data provided (or not provided!) in some of the more readily accessable anthropometric databases:
- The data collected are not always those most useful for design purposes. A case in point was a major survey which provided stool height, sitting height (seat to top of head) and pupil-top of head distance. Designers will normally need to know such things as seated stature (which is not nth percentile stool height plus nth percentile sitting height) and - crucial for display design! - seated eye height (which is not nth percentile stool height plus nth percentile sitting height minus nth percentile pupil-top of head distance)
- Few databases provide correlations between dimensions. The naive designer assumes that r = 1.0. Of course, as soon as you work with correlated data you find your confidence intervals widening, reflecting population variability.
Yes, designers at using stature is better than nothing. I believe that I was hired by one consultancy on the basis that I am 97.5th percentile male UK stature - and on one occasion fairly recently I found it highly convenient to have a short female colleague present during a mockup review. Such 'quick and dirty' methods can be useful as a first pass. But it's encumbent on the Human Factors community that we should a) caveat our anthropometric data heavily and b) provide useful, non-misleading data in the first place.
A moan: My recollection is that the UK 'Adultdata' survey (and related surveys for children, the elderly and people with disabilities) was one of the few that did supply correlations. It's been out of print for a long time. The raw data has not, as far as I'm aware, ever been in the public domain - although I gather it's used as the basis for one commercial product. This is work that I, as a taxpayer, funded!
-- DavidCarr - 22 May 2006
|