@inproceedings{a34e993edc8141108548d41868f2e2e3,
title = "The Effect of Degraded Eye Tracking Accuracy on Interactions in VR",
abstract = "Gaze-based user interfaces and interactions are becoming more prevalent in augmented and virtual reality (AR/VR). The effectiveness of eye tracking for interaction depends on its quality. Many studies discuss eye tracking as an input and interaction modality but do not provide details about eye tracking quality, making it difficult to compare findings. Here we implement a framework to degrade accuracy error with the user in the loop. We then approximate calibration error, with those degradations applied in each block to provide an {"}Effective Gaze Error.{"}Participants selected single targets (3° or 5° diameter) using an eye tracking sampling frequency and display rate of 120 Hz. Higher {"}Effective Gaze Error{"}on smaller targets resulted in decreased human performance and subjective evaluations. Our experiment framework and results provide a starting point for future studies assessing how gaze accuracy degradation impacts performance, beyond interactions tasks.",
keywords = "3D user interaction, Eye tracking, Gaze targeting, Input devices, User experience",
author = "Fernandes, {Ajoy Savio} and Murdison, {T. Scott} and Immo Schuetz and Oleg Komogortsev and Proulx, {Michael J.}",
year = "2024",
month = jun,
day = "4",
doi = "10.1145/3649902.3656369",
language = "English",
series = "Eye Tracking Research and Applications Symposium (ETRA)",
publisher = "Association for Computing Machinery",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - ETRA 2024, ACM Symposium on Eye Tracking Research and Applications",
address = "USA United States",
note = "16th Annual ACM Symposium on Eye Tracking Research and Applications, ETRA 2024 ; Conference date: 04-06-2024 Through 07-06-2024",
}