The paper “Manual-Free Gaze Interaction via Bayesian-based Implicit Intention Prediction,” co-authored by Taewoo Jo, Ho Jung Lee, Sulim Chun, and In-Kwon Lee, has been accepted for publication in IEEE Transactions on Visualization and Computer Graphics, a top-tier journal in the field of computer graphics. Previously, when using a user's gaze for pointing and selection, auxiliary means such as hands or controllers were often employed alongside the gaze. This research employs a Bayesian-based method to enhance the probability of correctly determining whether a selection is intended, enabling selection using only the gaze.