Introducing Persona Ecosystem Playground (PEP): Generating Behaviorally Grounded Personas from Think-Aloud Sessions
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Amin, D., Salminen, J., & Jansen, B. J. (2026). Introducing Persona Ecosystem Playground (PEP): Generating Behaviorally Grounded Personas from Think-Aloud Sessions. Proceedings of the 8th ACM Conference on Conversational User Interfaces (CUI '26). https://doi.org/10.1145/3816046.3816269
© 2026 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. https://creativecommons.org/licenses/by-nc-nd/4.0
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Persona generation methods rely primarily on structured data like surveys and analytics, leaving rich qualitative sources such as think-aloud transcripts and interview records underutilized. We present Persona Ecosystem Playground (PEP), a system that uses LLMs with retrieval-augmented generation (RAG) to generate personas from unstructured qualitative data while maintaining systematic traceability to source evidence. Demonstrated on think-aloud transcripts from 67 participants in an educational chatbot study, PEP generates five personas with 77% of attributes directly supported by transcript evidence (cosine similarity ≥ 0.8), including 96% direct support for behavioral attributes and 90% for goal attributes. The integration of RAG-based grounding, cosine similarity validation, and Rao’s Quadratic Entropy diversity measurement into a single automated pipeline distinguishes PEP from prior persona systems that lack systematic traceability. This work establishes a validated persona generation foundation for multi-group stakeholder modeling, where distinct personas representing different interdependent groups can be generated from heterogeneous qualitative sources.
Emojulkaisu
Proceedings of the 8th ACM Conference on Conversational User Interfaces (CUI '26)
ISBN
979-8-4007-2741-2
ISSN
Aihealue
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