vignettes/textcanvas1.Rmd
textcanvas1.Rmd
In our terminology, a text canvas is a bitmap image of text, formatted as it might appear on a printed page. See Figure 1. A text canvas is the kind of stimulus used in an experiment where participants’ eye movements are recorded while they read from a computer monitor.
We typically generate text canvas stimuli for an experiment offline, and then provide those to whatever experiment control software will be used for data acquisition. For us, most often that’s SRR Experiment Builder. This offline approach to stimulus construction gives us complete control over the appearance of the visual stimuli, and lets us use pixel-identical stimuli on different computers, or with different experiment control software (e.g., Experiment Builder, E-Prime, Presentation).
An offline approach to building text canvases also lets us use our own tools for creating and modifying regions of interest (aka interest areas). These ROIs are used for the purpose of summarizing gaze behavior over a text. The most natural unit for regions of interest is that they correspond to the individual words of a text. But it is often the case that mapping gaze data onto multi-word regions that correspond to larger syntactic or semantic constituents is also useful. The tools provided by, e.g., Experiment Builder for redefining ROIs are tedious to use and not very intuitive. Ours are better.
Experiment Builder (and presumably other experiment control software) can also create text canvases internally, from plain text (ascii or unicode) provided to them. Experiment Builder will do so only if the IMAGE_RESOURCE used to display the text in an EB project has its Prebuild to Image property checked. In that case, the text canvases will be saved to the /runtime/images/
subfolder within the project as PNG bitmaps. Unfortunately, these are given rather cryptic file names, like -6812265288292522003.png
.
You can determine which of these PNG files was used in which trial, by looking at a set of EB generated text files located in the /runtime/dataviewer/[EDF filename]/graphics/
subfolder of the project. These files will have a vcl extension and the filenames include numbers that correspond to trial numbers (e.g., VC\_1.vcl
, VC\_2.vcl
). The content of a file will look something like this:
0 IMGLOAD TOP_LEFT ../../runtime/images/-6812265288292522003.png 0 0 1024 768
The name of the PNG file that corresponds to the text canvas used for the particular trial is clearly specified. A simple R script to extract this information will not be too hard to construct. (Of course, you could also copy the information out by hand….)
Alternately, you may be able to extract this information from an Experiment Builder project using SRR Data Viewer software.
Note, if an IMAGE_RESOURCE in an Experiment Builder project did not have its Prebuild to Image property checked then it will not create these types of image files. So, it is good practice to always check the Prebuild property for the critical Image screen in sentence or passage reading experiments (or any type of experiment, for that matter). Then, when EB builds a bitmap from text provided in a Data Source, the bitmap will be saved to a PNG file. That way you will have a pixel-identical record of the stimulus seen by the subject.
A typical Experiment Builder project will use information contained in Data Source columns linked to a sequence which handles the trial looping of your EB project. Before deploying a project from EB, you should always select all of your Data Source columns and VARIABLE nodes as EyeLink Data Viewer variables.
All these values will be written to the EyeLink data file (*edf file) every time the system stops recording (i.e., at the end of each trial). These Variables can then be accessed via Data Viewer, or extracted from an ASCII data file built with the SRR edf2asc utility.
In case you didn’t include the Data Source column name as an EyeLink DV Variable, you will still have a record of the values used on each trial for each subject. Each subject’s results folder will contain a .dat file. This is a tab-delimited text file that has the values of the Data Source column values that were used on each trial. So, you can recover the name of the original text used on each trial from the subject’s .dat file.