For people with low vision in AR, gaze is fastest for initial pointing when sitting and comparable overall to head, but head is most stable; central vision loss users prefer finger pointing.
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5 Pith papers cite this work. Polarity classification is still indexing.
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cs.HC 5years
2026 5representative citing papers
Rule-based and learning-based algorithms simplify dance motions to help novices learn more effectively while maintaining naturalness and style.
CAMEO drapes virtual windows onto physical surfaces in MR to reduce occlusion while supporting direct interaction and maintaining text legibility.
Mixed-methods study finds AI assistance linked to higher textual overlap with suggestions in writing tasks, and a reflective interface prototype increases user awareness of AI incorporation.
EcoAssist embeds energy estimation and optimization into AI-assisted frontend coding, reducing website energy use by 13-16% in benchmarks while preserving developer productivity.
citing papers explorer
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Head, Gaze, or Finger? Comparing Object Selection Techniques in Augmented Reality for People with Low Vision
For people with low vision in AR, gaze is fastest for initial pointing when sitting and comparable overall to head, but head is most stable; central vision loss users prefer finger pointing.
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Make it Simple, Make it Dance: Dance Motion Simplification to Support Novices' Dance Learning
Rule-based and learning-based algorithms simplify dance motions to help novices learn more effectively while maintaining naturalness and style.
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Draped Surfaces: A Contour-Adaptive Interface Overlaid on the Physical Environment for Mixed Reality Workspaces
CAMEO drapes virtual windows onto physical surfaces in MR to reduce occlusion while supporting direct interaction and maintaining text legibility.
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Overreliance in Writing Tasks: Exploring Similarity-Based Measures of AI Influence on Writing and Proposing a Reflective Writing Interface Intervention
Mixed-methods study finds AI assistance linked to higher textual overlap with suggestions in writing tasks, and a reflective interface prototype increases user awareness of AI incorporation.
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EcoAssist: Embedding Sustainability into AI-Assisted Frontend Development
EcoAssist embeds energy estimation and optimization into AI-assisted frontend coding, reducing website energy use by 13-16% in benchmarks while preserving developer productivity.