Adaptive Matrix Validation calibrates AI-mapped survey responses using sparse randomized validation questions from other respondents then corrects with the target's own answers, with estimators and planning formulas for means, subgroups, and regressions.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 3verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
An LLM-in-the-loop study with 17 interviewers identifies five ethical concerns with AI-generated follow-up questions and translates them into design and governance implications.
Comparative study of VRChat Discord finds distinct engagement, response dynamics, and attitudes in human versus AI support channels.
citing papers explorer
-
When Surveys Become Conversations: Adaptive Matrix Validation for AI-Assisted Interviews
Adaptive Matrix Validation calibrates AI-mapped survey responses using sparse randomized validation questions from other respondents then corrects with the target's own answers, with estimators and planning formulas for means, subgroups, and regressions.
-
Ethics and Social Responsibility in AI-Assisted Interviewing: An LLM-in-the-Loop Study of AI-Generated Follow-Up Questions
An LLM-in-the-loop study with 17 interviewers identifies five ethical concerns with AI-generated follow-up questions and translates them into design and governance implications.
-
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.