InterviewPlayground: A Simulation Environment for Evaluating AI Interviewers

arXiv:2610.12023 · cs.AI, cs.CL · Submitted 2026-10-08 · Read on arXiv

cs.AI, cs.CL

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/jonathanivey/interviewplayground

Terminology

• LLM judge — 16× in this paper · explained in 2 episodes
• Generative AI — 10× in this paper · explained in 2 episodes
• alpha — 5× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Cooperation — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Agentic Task — 1× in this paper · explained in 1 episode
• Agentic Tasks — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Frustration — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• SparkMe: Adaptive Semi-Structured Interviewing for Qualitative Insight Discovery
• Optimal Question Selection from a Large Question Bank for Clinical Field Recovery in Conversational Psychiatric Intake
• What Makes a Good Response? An Empirical Analysis of Quality in Qualitative Interviews
• PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions
• Rethinking Model Evaluation as Narrowing the Socio-Technical Gap
• MimiTalk: Revolutionizing Qualitative Research with Dual-Agent AI
• LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
• AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments
• TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
• Mind the Sim2Real Gap in User Simulation for Agentic Tasks

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