FocusAdapt: Context-aware Adaptive Focus Assistance in Diminished Reality

📅 2026-08-30
📈 Citations: 0
Influential: 0
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🤖 AI Summary
为解决减实技术移除无关对象时可能消除有用信息的问题,FocusAdapt通过整合视觉显著性、语义相关性和注视行为来预测并选择性减少干扰物。
📝 Abstract
Diminished Reality (DR) can reduce visual clutter by removing irrelevant objects. However, removing all task-irrelevant objects may eliminate useful contextual information and reduce situational awareness. We present FocusAdapt, a context-aware DR system that predicts object-level distraction by integrating visual saliency, semantic relevance, and gaze behavior. Based on findings from a formative study, FocusAdapt selectively diminishes highly distracting objects while preserving useful context, enabling adaptive focus assistance during procedural tasks.
Problem

Research questions and friction points this paper is trying to address.

Diminished Reality
context-aware
situational awareness
visual clutter
Innovation

Methods, ideas, or system contributions that make the work stand out.

Context-aware
Diminished Reality
Visual Saliency
Semantic Relevance
Gaze Behavior
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