Unified Dynamic Scanpath Predictors Outperform Individually Trained Models

arXiv:2405.02929v1 Announce Type: new
Abstract: Previous research on scanpath prediction has mainly focused on group models, disregarding the fact that the scanpaths and attentional behaviors of individuals are diverse. The disregard of these differences is especially detrimental to social human-robot interaction, whereby robots commonly emulate human gaze based on heuristics or predefined patterns. However, human gaze patterns are heterogeneous and varying behaviors can significantly affect the outcomes of such human-robot interactions. To fill this gap, we developed a deep learning-based …

abstract arxiv cs.ai cs.cv differences diverse dynamic heuristics human prediction research robot robots social type