Explanations in conversational AI are experienced as dialogues, so the field should study them as interactive exchanges and pursue Human-Centered Conversational XAI (HC2XAI).
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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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Explanations as Dialogues: Toward Human-Centered Conversational Explainable AI
Explanations in conversational AI are experienced as dialogues, so the field should study them as interactive exchanges and pursue Human-Centered Conversational XAI (HC2XAI).
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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.