Time-Aware LSTM for Gaze Prediction in Mixed Reality Under Latency Perturbations

Oct 1, 2025·
Shu Hong
Rongqian Chen
Rongqian Chen
,
Rifatul Islam
,
Mahdi Imani
,
Gang Tan
,
Tian Lan

TL;DR

A time-aware LSTM that keeps gaze prediction in Mixed Reality accurate when latency perturbations disturb the input stream. 🏆 XR Security Best Poster Award at MobiHoc 2025.

Key contributions:

  • Explicitly incorporates timing information into the LSTM gaze predictor, making it robust to irregular sampling caused by latency perturbations.
  • Presented at the 2025 ACM MobiHoc workshop, winning the XR Security Best Poster Award.

BibTeX

@inproceedings{hong2025poster,
  title={Poster: Time-Aware LSTM for Gaze Prediction in Mixed Reality Under Latency Perturbations},
  author={Hong, Shu and Chen, Rongqian and Islam, Rifatul and Imani, Mahdi and Tan, Gang and Lan, Tian},
  booktitle={Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing},
  pages={514--515},
  year={2025}
}