Papers for

qualitative research teams

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Inspectable simulated interview participants help improve qualitative research protocols

Inspectable LLM-Simulated Participants for Qualitative Interview Rehearsal

Abstract: LLMs are increasingly used across research workflows, including research ideation, qualitative analysis, and participant simulation. Within work on participant simulation, prior studies have largely evaluated simulated participants by how realistic or human-like their responses appear, leaving less known about how researchers use and critique these materials when revising interview protocols before fieldwork. We present Rehearsim, an inspectable research probe that treats LLM-simulated participants as materials for methodological rehearsal rather than substitutes for human participants. Rehearsim combines literature-grounded participant construction, interactive interview rehearsal, and traceable thematic review while keeping protocol decisions under researcher control. In a study with 21 qualitative researchers, participants used simulated materials to surface assumptions and gaps, reconsider participant populations, revise target populations, and develop follow-up probes. They also identified risks, including the concealment of weak questions, dismissal of unexpected synthetic details, and interpretive anchoring from generated themes. We derive an inspectable-rehearsal framework emphasizing traceability, contestability, researcher control, and epistemic boundaries.

Mon 19 OctHuman-Computer Interaction
The gist
Preparing for interviews in social research can be tricky because it's hard to know if your questions are good before talking to real people. This paper shows how large language models (LLMs) can simulate interview participants to practice and refine interview questions. The researchers created a tool called Rehearsim that lets researchers interact with these simulated participants and review how well their interview plans work, helping them find weak spots or assumptions. However, they also found some challenges, like missing subtle problems hidden by the simulation or relying too much on generated themes.
Open → 2610.27333v1