AI interviewers are moving into research contexts where they must draw out open-ended answers rather than just collect multiple-choice responses. Applications include market research, public polling, preference elicitation, and social science studies. But evaluating how well these systems perform has remained a challenge.
The paper introduces InterviewPlayground, a simulation environment built for that evaluation task. It provides a setting where AI interviewers can be tested in a controlled way, allowing researchers to assess their ability to elicit useful open-ended responses.
Because the source is a single preprint, the claims are limited to the proposed approach; no experimental results are described in the available abstract.