This week, I read 'Gaze-Tracked Crowdsourcing' by Jakub Simko and Maria Bielikova. The information is pertinent to our study because we have been using gaze-tracking with iTrace, and it's helpful to gain a different perspective of study with this method. In the study, participants were asked to read through snippets of text and based on a word from the text, determine the sense of a word from a possible set of senses.
We have been assembling a task (consisting of questions from StackOverflow) similar to the task designed in the article, but instead of text, we will use snippets of code to get our participants to predict tags based on the content of the question sets.
I will be sifting through data sets provided by Kaggle this week to compare the tags assigned to each question from different users on the StackExchange network to gain a firmer understanding of tag prediction so that we can continue with our project.
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