AI-Moderated Interviews for Market Research and Digital Twins Calibration

arXiv:2609.29143 · cs.CY, cs.AI, cs.HC, cs.MA · Submitted 2026-09-24 · Read on arXiv

cs.CY, cs.AI, cs.HC, cs.MA

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Fidelity — 40× in this paper · explained in 2 episodes
• Digital Twin — 31× in this paper · explained in 4 episodes
• Accuracy — 22× in this paper · explained in 1 episode
• LLM judge — 18× in this paper · explained in 2 episodes
• Trace — 8× in this paper · explained in 2 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Calibration — 6× in this paper · explained in 7 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 4× in this paper · explained in 3 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Energy Efficiency — 2× in this paper · explained in 3 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptive Probing — 1× in this paper · explained in 1 episode
• Affective Computing — 1× in this paper · explained in 1 episode
• Automatic Speech Recognition (ASR) — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes

Sources

• SparkMe: Adaptive Semi-Structured Interviewing for Qualitative Insight Discovery
• Codebook Reduction and Saturation: Novel observations on Inductive Thematic Saturation for Large Language Models and initial coding in Thematic Analysis
• LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
• Digital Twins as Funhouse Mirrors: Five Key Distortions
• Clio: Privacy-Preserving Insights into Real-World AI Use
• Transforming the Voice of the Customer: Large Language Models for Identifying Customer Needs

Related papers

• Reasoning Enhances Robustness to Prompt Injection in LLM-Based Consensus
• Generative AI Purpose-built for Social and Mental Health: A Real-World Pilot
• PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks
• What is an intelligent system?
• AI University: An LLM-Powered Learning Assistant for Engineering---A Finite Element Method Case Study
• Generative AI Use in Entrepreneurship: An Integrative Review and an Empowerment-Entrapment Framework