A 14-code content model for local post-hoc AI explanations, derived from 325 user statements and validated by experts with high reliability scores.
Shneiderman, Human-centered artificial intelligence: Reliable, safe & trustworthy, International Journal of Human-Computer Interaction 36 (2020) 495–504
10 Pith papers cite this work. Polarity classification is still indexing.
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Youth on Character.AI use chatbots for emotional restoration, creative exploration, and identity transformation, yielding a new three-intent framework and seven-archetype taxonomy from Discord discourse analysis.
Self-correction by social chatbots preserves trustworthiness and expertise while leveraging social connection to drive belief change, unlike external corrections which eliminate that link.
Introduces a gradient-based multilingual audit framework for LLM moral decisions in robot assistance scenarios and reports persistent culturally asymmetric gradient tracking failures not fixed by prompting.
The Perceived Cooperativity Scale and Teaming Perception Scale were developed from theory and validated across three studies to reliably measure subjective quality of human-AI cooperation.
Brief2Design supports a multi-phased workflow for AI-assisted graphic design from briefs, increasing prompt diversity and requirement handling ratings but requiring more generation time than conversational baselines.
Interviews and probe sessions show that mixed reality supports continuous hybrid workflows in UI/UX design, leading to four proposed design dimensions for future MR systems.
A work-in-progress curriculum mapping framework for AI education that connects technical systems, societal impacts, and workforce competencies, with early analysis of six courses showing strong technical coverage but weak workforce assessment.
Comparative study of VRChat Discord finds distinct engagement, response dynamics, and attitudes in human versus AI support channels.
citing papers explorer
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Restoration, Exploration and Transformation: How Youth Engage Character.AI Chatbots for Feels, Fun and Finding themselves
Youth on Character.AI use chatbots for emotional restoration, creative exploration, and identity transformation, yielding a new three-intent framework and seven-archetype taxonomy from Discord discourse analysis.
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Correct Yourself, Keep My Trust: How Self-Correction and Social Connection Shape Credibility in Social Chatbots
Self-correction by social chatbots preserves trustworthiness and expertise while leveraging social connection to drive belief change, unlike external corrections which eliminate that link.
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Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients
Introduces a gradient-based multilingual audit framework for LLM moral decisions in robot assistance scenarios and reports persistent culturally asymmetric gradient tracking failures not fixed by prompting.
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Measuring Successful Cooperation in Human-AI Teamwork: Development and Validation of the Perceived Cooperativity and Teaming Perception Scales
The Perceived Cooperativity Scale and Teaming Perception Scale were developed from theory and validated across three studies to reliably measure subjective quality of human-AI cooperation.
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Brief2Design: A Multi-phased, Compositional Approach to Prompt-based Graphic Design
Brief2Design supports a multi-phased workflow for AI-assisted graphic design from briefs, increasing prompt diversity and requirement handling ratings but requiring more generation time than conversational baselines.
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Stitching the Divide: Investigating Mixed Reality as a Bridge Between Paper-Based and Digital Artifacts in UI/UX Design
Interviews and probe sessions show that mixed reality supports continuous hybrid workflows in UI/UX design, leading to four proposed design dimensions for future MR systems.
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Bridging Technical AI, Societal Impacts, and Workforce Competencies in AI Education
A work-in-progress curriculum mapping framework for AI education that connects technical systems, societal impacts, and workforce competencies, with early analysis of six courses showing strong technical coverage but weak workforce assessment.
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Comparative Analysis of Human vs. AI-powered Support in VRChat Communities on Discord: User Engagement, Response Dynamics and Interaction Patterns
Comparative study of VRChat Discord finds distinct engagement, response dynamics, and attitudes in human versus AI support channels.