Just-in-Time Data Literacy Through Conversational Data Comics
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Conversational systems increasingly mediate how people encounter data, yet most still respond with text or single charts that offer limited support for data visualization literacy in real contexts. We propose the concept of conversational data comics: system-generated comic strips that answer questions, interpret uploaded charts, or explain situated data through paced panels combining visualizations, annotations, and visual metaphors. We define the concept, distinguish it from adjacent formats, and illustrate three scenarios: vis-to-comic interpretation, question-to-comic responses, and situated product micro-stories. We then outline a research agenda on in-context literacy outcomes, multi-turn comic conversational strategies, and mechanisms for faithfulness, uncertainty, and responsible framing.