This is a continuation of a demo on unconscious seeing.

If you have got this far, you should have looked at a display of an English sentence which you have
probably encountered previously.

The display should have been shut before you came here, so that you can no longer see the words.

If you saw something wrong when you first looked at the display, you are not a suitable subject for
the experiment.

However, a significant subset of those who look at the display see nothing wrong with it, even if asked
to check carefully, and even if they know that other people looking at the display do see something wrong.

Some of those who thought there was nothing wrong change their mind if later given one of these two
tasks with the display out of sight:

The fact that they can discover what was wrong with the sentence in the box,
even when it is out of sight, demonstrates that they had taken in the information
that the sentence contained all the words "Trespassers will will be prosecuted"
even if they had not noticed the superfluous word, and even though they were not
able to detect anything wrong when asked to look carefully.

If you saw the superfluous word when you first looked, or if you failed to see it
when looking at the display, and continued not to be aware of anything wrong
even when you considered the two questions, then the experiment has failed for you.

It works for between 1/3 and 2/3 of the people I have tried it on, e.g. when presenting a seminar
on vision.
I have not attempted to find any other differences linked to this capability.

If you did not see anything wrong with the display, please look back at it now, to see
what you did not notice previously: here.


I have some related demonstrations here:
http://www.cs.bham.ac.uk/research/projects/cogaff/misc/multipic-challenge.pdf
http://www.cs.bham.ac.uk/research/projects/cogaff/challenge-penrose.pdf

Added: 30 Apr 2012 The following presentation on the functions of vision is relevant:
http://www.cs.bham.ac.uk/research/projects/cogaff/talks/#gibson

What's vision for, and how does it work?
From Marr (and earlier) to Gibson and Beyond

Installed: 20 Oct 2009
Updated: 30 Apr 2012

Maintained by Aaron Sloman
School of Computer Science
The University of Birmingham