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XR gaze data representation impacts privacy and utility

By PulseAugur Editorial · [1 sources] ·

A new research paper explores how the way gaze data is represented in extended reality (XR) systems can impact both user utility and privacy. The study, using the HoloAssist dataset, compared raw gaze, spatial attention heatmaps, and engineered eye-movement features. Results indicate that engineered features offer a significant privacy benefit by reducing user re-identification risk by an order of magnitude, while retaining approximately 85% of the action-recognition accuracy of raw gaze data. This suggests that careful feature engineering can act as a lightweight privacy control, complementing other methods like differential privacy. AI

IMPACT Suggests a method for enhancing user privacy in XR systems without significant loss of functionality.

RANK_REASON Research paper published on arXiv detailing a novel approach to privacy controls in XR systems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

XR gaze data representation impacts privacy and utility

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Research paper published on arXiv detailing a novel approach to privacy controls in XR systems. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Cory Ilo, Brendan-David John, Doug A. Bowman ·

    Hidden In Plain Gaze: Gaze Representations as Privacy Controls for Utility and Re-identification Risk in XR

    arXiv:2609.04592v1 Announce Type: cross Abstract: Intelligent extended reality (XR) systems increasingly use eye and head tracking to infer user intent, task, and attention, but the same signals can also reveal biometric identity. We study whether gaze data representation choice …

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