Intelligent Adaptive Interfaces

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Headsets record where people look, how they move, and what they see, many times per second. We turn those signals into models of the user’s state, and we use the models to make XR systems that respond: adjusting comfort settings before sickness sets in, or flagging eye-movement patterns that matter for health.

Research directions

Eye tracking data quality and gaze-based measures (Adhanom et al., 2020; Adhanom et al., 2023)
Early gaze dynamics as predictors of cybersickness (Demirseren & Adhanom, 2026)
Visual-motion and motion-energy models of discomfort (Rahman & Adhanom, 2026)
Machine learning on VR eye-movement data for concussion detection (Sarker et al., 2022; Hossain et al., 2022)
Adaptive, per-user cybersickness mitigation

Our adaptive mitigation work is supported by a Texas State Research Enhancement Program grant. The goal is XR that notices how each person is doing and adjusts to them, rather than applying one fixed setting to everyone.

Publications

2026

arXiv

How Early Can You Tell? Early Eye Gaze Dynamics and Cybersickness Progression in Virtual Reality

Nevzat Umut Demirseren and Isayas Berhe Adhanom

Sep 2026

arXiv Bib HTML

@misc{demirseren2026howearly,
  author = {Demirseren, Nevzat Umut and Adhanom, Isayas Berhe},
  title = {How Early Can You Tell? Early Eye Gaze Dynamics and Cybersickness Progression in Virtual Reality},
  howpublished = {arXiv preprint arXiv:2609.25422},
  year = {2026},
  month = sep,
}

IEEE VRW

Objective Estimation of Cybersickness Using Spatially Resolved Visual Motion Metrics

Mahfujur Rahman and Isayas Berhe Adhanom

In 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Mar 2026

Bib HTML

@inproceedings{rahman2026objective,
  author = {Rahman, Mahfujur and Adhanom, Isayas Berhe},
  title = {Objective Estimation of Cybersickness Using Spatially Resolved Visual Motion Metrics},
  booktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)},
  pages = {651--658},
  publisher = {IEEE},
  year = {2026},
  month = mar,
}

2023

Springer VR

Eye Tracking in Virtual Reality: a Broad Review of Applications and Challenges

Isayas Berhe Adhanom, Paul MacNeilage, and Eelke Folmer

Jan 2023

DOI Bib HTML

@article{adhanom2023Eye,
  title = {Eye Tracking in Virtual Reality: a Broad Review of Applications and Challenges},
  url = {https://link.springer.com/article/10.1007/s10055-022-00738-z},
  doi = {10.1007/s10055-022-00738-z},
  journal = {Virtual Reality},
  author = {Adhanom, Isayas Berhe and MacNeilage, Paul and Folmer, Eelke},
  month = jan,
  year = {2023},
  type = {journal articles},
}

2022

ISVC

Analysis of Smooth Pursuit Assessment in Virtual Reality and Concussion Detection Using BiLSTM

Prithul Sarker, Khondker Fariha Hossain, Isayas Berhe Adhanom, and 3 more authors

2022

Bib HTML

@article{prithul20222isvc,
  title = {Analysis of Smooth Pursuit Assessment in Virtual Reality and Concussion Detection Using BiLSTM},
  author = {Sarker, Prithul and Hossain, Khondker Fariha and Adhanom, Isayas Berhe and Pavilionis, Philip K and Murray, Nicholas G. and Tavakkoli, Alireza},
  journal = {In Proceedings of Advances in Visual Computing},
  year = {2022},
  publisher = {ISVC},
  type = {conference papers},
  url = {https://doi.org/10.1007/978-3-031-20716-7_34},
}

ISVC

Virtual-Reality Based Vestibular Ocular Motor Screening for Concussion Detection Using Machine-Learning.

Khondker Fariha Hossain, Sharif Amit Kamran, Prithul Sarker, and 4 more authors

2022

Bib HTML

@article{hossain20222isvc,
  title = {Virtual-Reality Based Vestibular Ocular Motor Screening for Concussion Detection Using Machine-Learning.},
  author = {Hossain, Khondker Fariha and Kamran, Sharif Amit and Sarker, Prithul and Pavilionis, Philip K and Adhanom, Isayas Berhe and Murray, Nicholas G. and Tavakkoli, Alireza},
  journal = {In Proceedings of Advances in Visual Computing },
  year = {2022},
  publisher = {ISVC},
  type = {conference papers},
  url = {https://doi.org/10.1007/978-3-031-20716-7_18},
}

2020

ETRA

GazeMetrics: An Open-Source Tool for Measuring the Data Quality of HMD-Based Eye Trackers

Isayas B. Adhanom, Samantha C. Lee, Eelke Folmer, and 1 more author

, Stuttgart, Germany, 2020

DOI Bib HTML

@article{adhanom2020gazemetrics,
  author = {Adhanom, Isayas B. and Lee, Samantha C. and Folmer, Eelke and MacNeilage, Paul},
  title = {GazeMetrics: An Open-Source Tool for Measuring the Data Quality of HMD-Based Eye Trackers},
  year = {2020},
  isbn = {9781450371346},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3379156.3391374},
  doi = {10.1145/3379156.3391374},
  booktitle = {ACM Symposium on Eye Tracking Research and Applications},
  articleno = {19},
  numpages = {5},
  keywords = {virtual reality, accuracy, precision, eye tracker data quality, Eye tracking, eye movements},
  location = {Stuttgart, Germany},
  series = {ETRA '20 Short Papers},
  type = {conference papers},
}