Previous studies (Barrett and Søgaard, 2015b;Barrett et al., 2016) suggest that real-time eye-tracking data can be collected at inference time, so that token-level gaze features are used during training but also at test time.
even if in the near future every user has an eye tracker on top of their screen -a scenario which is far from guaranteed, and raises privacy concerns (Liebling and Preibusch, 2014)many running NLP applications that process data from various Internet sources will not expect to have any human being reading massive amounts of data.