Sign inGet started
Paper · arXiv

Generating Diverse Personas for User Simulators to Test Interview Dialogue Systems

This paper addresses the issue of the significant labor required to test interview dialogue systems. While interview dialogue systems are expected to be useful in various scenarios, like other dialogue systems, testing them with human users requires significant effort and cost. Therefore, testing with user simulators can be beneficial. Since most conventional user simulators have been primarily designed for training task-oriented dialogue systems, little attention has been paid to the personas of the simulated users. During development, testing interview dialogue systems requires simulating a wide range of user behaviors, but manually creating a large number of personas is labor-intensive...

AuthorsMikio Nakano, Kazunori Komatani, Hironori Takeuchi
Primary categorycs.CL
Published20 August 2026
Last updated at source20 August 2026
cs.CLcs.HC
Embed this entry
<iframe src="https://silytics.si/embed/item/e193c8dd-1a5b-4025-bbb3-391d1eac64ba" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.