Eye-tracking sentence reading: definition of areas of interest
I know similar questions have been asked before, but I couldn't really find a thread on this issue – apologies in advance if I've missed it or it's something very basic that I'm missing.
I'm quite new to programming eye-tracking experiments in OpenSesame (and I'm not an OpenSesame expert in general), and I'm currently trying to program quite a basic sentence reading task.
All sentences contain different words, but follow this basic structure:
[chunk1] [chunk2] [chunk3] [chunk4] [chunk5] [chunk6] [chunk7] [chunk8]
In each sentence, our target items – that should be areas of interest – are chunk4 and chunk5, which occupy different positions in each sentence, based on the length of those words and of the previous ones. Therefore, defining interest areas based on x and y coordinates doesn't seem to help much, here, as they vary every time.
So, here's the core of my question: I'd like to know if it's possible to define as areas of interest certain parts of each sentence, as defined by the labels we adopted (in our case, say, the words that occupy chunk4 and chunk5 in each sentence).
Also having an interest area for all of the 8 chunks would be fine, of course, as I can select a posteriori which interest areas I want to analyze, in terms of eye movement measures.
Any suggestion or advice is most welcome.
Thanks a lot,