ACM UMAP – User Modeling, Adaptation and Personalization – is the
premier international conference for researchers and practitioners
working on systems that adapt to individual users, to groups of users,
and that collect, represent, and model user information.
At UMAP 2019, we presented a paper that investigated the feasibility of
building a classifier that predicts the type of the image content a user
is processing, after collecting a few seconds of eye-tracking data
during graphical password creation.