@inproceedings{jeon-choi-2026-personakit,
title = "{P}ersona{K}it ({PK}): A Plug-and-Play Platform for User Testing Diverse Roles in Simulated Full-Duplex Dialogue",
author = "Jeon, Hyunbae and
Choi, Jinho D.",
editor = "Choi, Jinho D. and
Chen, Yun-Nung and
Funakoshi, Kotaro and
Emami, Ali",
booktitle = "Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue",
month = aug,
year = "2026",
address = "Atlanta, Georgia, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.sigdial-1.42/",
pages = "597--601",
abstract = "As spoken dialogue systems take on diverse personas{---}authoritative instructors, uncooperative merchants, distracted workers{---}they need distinct, human-like turn-taking to stay immersive. Yet current full-duplex systems default to a rigid ``always-yield'' policy during overlap, undermining character consistency for non-submissive roles, and evaluating persona-specific alternatives through user studies demands substantial real-time engineering. We present PersonaKit (PK), an open-source, low-latency web platform that simulates full-duplex turn-taking pragmatics{---}via a cascade pipeline and prompt-level control rather than a jointly trained speak-while-listening model. Through intuitive JSON configurations, researchers define personas, specify probabilistic interruption handling (yield, hold, bridge, override), and auto-deploy comparative A/B surveys. An in-the-wild evaluation with 8 personas shows that PK is an extensible, end-to-end framework for studying complex sociolinguistic behaviors in next-generation spoken agents."
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<abstract>As spoken dialogue systems take on diverse personas—authoritative instructors, uncooperative merchants, distracted workers—they need distinct, human-like turn-taking to stay immersive. Yet current full-duplex systems default to a rigid “always-yield” policy during overlap, undermining character consistency for non-submissive roles, and evaluating persona-specific alternatives through user studies demands substantial real-time engineering. We present PersonaKit (PK), an open-source, low-latency web platform that simulates full-duplex turn-taking pragmatics—via a cascade pipeline and prompt-level control rather than a jointly trained speak-while-listening model. Through intuitive JSON configurations, researchers define personas, specify probabilistic interruption handling (yield, hold, bridge, override), and auto-deploy comparative A/B surveys. An in-the-wild evaluation with 8 personas shows that PK is an extensible, end-to-end framework for studying complex sociolinguistic behaviors in next-generation spoken agents.</abstract>
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%0 Conference Proceedings
%T PersonaKit (PK): A Plug-and-Play Platform for User Testing Diverse Roles in Simulated Full-Duplex Dialogue
%A Jeon, Hyunbae
%A Choi, Jinho D.
%Y Choi, Jinho D.
%Y Chen, Yun-Nung
%Y Funakoshi, Kotaro
%Y Emami, Ali
%S Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue
%D 2026
%8 August
%I Association for Computational Linguistics
%C Atlanta, Georgia, USA
%F jeon-choi-2026-personakit
%X As spoken dialogue systems take on diverse personas—authoritative instructors, uncooperative merchants, distracted workers—they need distinct, human-like turn-taking to stay immersive. Yet current full-duplex systems default to a rigid “always-yield” policy during overlap, undermining character consistency for non-submissive roles, and evaluating persona-specific alternatives through user studies demands substantial real-time engineering. We present PersonaKit (PK), an open-source, low-latency web platform that simulates full-duplex turn-taking pragmatics—via a cascade pipeline and prompt-level control rather than a jointly trained speak-while-listening model. Through intuitive JSON configurations, researchers define personas, specify probabilistic interruption handling (yield, hold, bridge, override), and auto-deploy comparative A/B surveys. An in-the-wild evaluation with 8 personas shows that PK is an extensible, end-to-end framework for studying complex sociolinguistic behaviors in next-generation spoken agents.
%U https://aclanthology.org/2026.sigdial-1.42/
%P 597-601
Markdown (Informal)
[PersonaKit (PK): A Plug-and-Play Platform for User Testing Diverse Roles in Simulated Full-Duplex Dialogue](https://aclanthology.org/2026.sigdial-1.42/) (Jeon & Choi, SIGDIAL 2026)
ACL