Imagine the scene: you witnessed a man stealing a mobile phone and are now being interviewed by the police who ask you for a description. You think you remember him well and have no problem describing what he was wearing… but what about his face?
You remember he was Caucasian, had dark hair and was probably in his twenties, but just cannot find the right words to describe what his face looked like.
This is a problem experienced by all eyewitnesses. Not only do you have to try to picture the face of the perpetrator in your mind, but you also have to translate this visual image into a verbal description.
Both of these actions are very hard to do, which is why systems such as PhotoFIT and E-FIT were developed. These enable a witness to construct a picture of the perpetrator’s face visually, by searching through albums of individual features and then putting these together to form a whole face.
Sounds simple, doesn’t it? The problem is that we do not recognise faces feature by feature and do not store faces in our memories as collections of nose and eyes and so on. Instead we remember the whole face and therefore find it difficult to picture individual features in our mind and to construct faces one feature at a time.
To see how difficult it is to make a face feature by feature, we challenge you to construct an accurate image of a friend, a celebrity or (even yourself!) with our PhotoFit Me widget.
Select the features, move or stretch them and share your finished face to see if other people recognise them.
Watch out for PhotoFit Me iPhone and iPad versions, coming to the Apple app store soon.
Not seeing the widget above? PhotoFit Me uses Flash - you might need to update to the latest version.
The Open University have created apps for iphone, itouch and ipad which you can download from the Apple app store