A 14-code content model for local post-hoc AI explanations, derived from 325 user statements and validated by experts with high reliability scores.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Historians use visualizations in five roles—primary-source, evidence-synthesis, communicative, confirmative, and exploratory—but epistemological and practical barriers limit broader adoption.
Polite chatbot feedback lowers psychological reactance and boosts behavioral intentions but lacks engagement, whereas verbal leakage heightens surprise and engagement at the expense of increased reactance.
Action research case studies assess the practicality of an information-theoretic VA workflow optimization methodology, identify obstacles, and propose a deployment roadmap.
citing papers explorer
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What Should Explanations Contain? A Human-Centered Explanation Content Model for Local, Post-Hoc Explanations
A 14-code content model for local post-hoc AI explanations, derived from 325 user statements and validated by experts with high reliability scores.
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How Historians Use Visualization: A Corpus-Backed Taxonomy and Analysis for Cross-Disciplinary Practice
Historians use visualizations in five roles—primary-source, evidence-synthesis, communicative, confirmative, and exploratory—but epistemological and practical barriers limit broader adoption.
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Polite But Boring? Trade-offs Between Engagement and Psychological Reactance to Chatbot Feedback Styles
Polite chatbot feedback lowers psychological reactance and boosts behavioral intentions but lacks engagement, whereas verbal leakage heightens surprise and engagement at the expense of increased reactance.
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Optimizing Visual Analytics Workflows: From Theory to Practice
Action research case studies assess the practicality of an information-theoretic VA workflow optimization methodology, identify obstacles, and propose a deployment roadmap.