Co-design with five BLV experts produced a multi-modal prototype using reference sonification, stereo/volumetric audio, and buffer aggregation that co-designers said improved accuracy and learnability on tasks like peak finding and gradient tracing.
Wobbrock, Anhong Guo, and Liang He
2 Pith papers cite this work. Polarity classification is still indexing.
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AI drafts for audio description reduce editing time and cognitive load only when they exceed a content-dependent quality threshold, unlike unguided baseline drafts.
citing papers explorer
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Three Modalities, Two Design Probes, One Prototype, and No Vision: Experience-Based Co-Design of a Multi-modal 3D Data Visualization Tool
Co-design with five BLV experts produced a multi-modal prototype using reference sonification, stereo/volumetric audio, and buffer aggregation that co-designers said improved accuracy and learnability on tasks like peak finding and gradient tracing.
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Making AI Drafts Count: A Quality Threshold in Audio Description Workflows
AI drafts for audio description reduce editing time and cognitive load only when they exceed a content-dependent quality threshold, unlike unguided baseline drafts.