{
  "id": 18670,
  "url": "https://arxiv.org/abs/2608.10412v1",
  "title": "When the Interviewer Is a Bot: Behavior, Breakdowns, and Trust in MLLM-Led Interviews",
  "summary": "Semi-structured interviews are a cornerstone of qualitative research but remain labor-intensive. We report an empirical study of what actually happens when the interviewer is an off-the-shelf real-time multimodal LLM (MLLM). We built InterviewBot, a voice-based interviewing system that wraps a real-time MLLM with a researcher-authored outline, and deployed it not as a novel architecture but as a research instrument for observing default MLLM interviewing behavior. In a practice study (N=15), par",
  "authors": "He Zhang, Kambinachi Chukwuma, ChanMin Kim, John M. Carroll",
  "category": "research",
  "topics": "jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-11T03:01:36.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/18670",
  "original_url": "https://arxiv.org/abs/2608.10412v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}