I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data

I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data

Abstract Comprehending how humans process visual information in dynamic settings is crucial for psychology and designing user-centered interactions. While mobile eye-tracking systems combining egocentric video and gaze signals can offer valuable insights, manual analysis of these recordings is time-...

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Bibliographic Details
Main Authors: Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Human-centered AI
Scene Recognition
Online Access:https://doi.org/10.1038/s41598-025-94593-y
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