ReFinE is a Figma plugin that synthesizes contextualized design implications from HCI literature to provide actionable visual guidance for iterating on UI mockups.
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cs.HC 5years
2026 5roles
background 5representative citing papers
Chaplains view AI chatbots as unable to provide attuned pastoral care for non-clinical emotional needs, based on themes of listening, connecting, carrying, and wanting.
13 participants became convinced AI understands human values after chatbot interactions evaluated with the VAPT toolkit.
AVA is a specialized GenAI platform for development policy research that provides verifiable syntheses from World Bank reports and is associated with 2.4-3.9 hours of weekly time savings in a large-scale user evaluation.
Student-facilitated workshops in one design class produced AI policies highlighting double standards in disclosure requirements between students and faculty, demonstrating value in participatory governance.
citing papers explorer
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ReFinE: Streamlining UI Mockup Iteration with Research Findings
ReFinE is a Figma plugin that synthesizes contextualized design implications from HCI literature to provide actionable visual guidance for iterating on UI mockups.
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Chaplains' Reflections on the Design and Usage of AI for Conversational Care
Chaplains view AI chatbots as unable to provide attuned pastoral care for non-clinical emotional needs, based on themes of listening, connecting, carrying, and wanting.
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AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversations
13 participants became convinced AI understands human values after chatbot interactions evaluated with the VAPT toolkit.
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Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research
AVA is a specialized GenAI platform for development policy research that provides verifiable syntheses from World Bank reports and is associated with 2.4-3.9 hours of weekly time savings in a large-scale user evaluation.
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Participatory, not Punitive: Student-Driven AI Policy Recommendations in a Design Classroom
Student-facilitated workshops in one design class produced AI policies highlighting double standards in disclosure requirements between students and faculty, demonstrating value in participatory governance.