What question did this study set out to answer?

The aim is to explore the diversity aspects of personas generated by large language models (LLMs) in the context of requirements engineering.

February 8, 20260 citationsOpen Access

The Good, the Bad, and the Uncanny: Investigating Diversity Aspects of LLM-Generated Personas for Requirements Engineering -- Summary

CLChristopher Lazik CKCharlotte Kauter INInês NunesUniversity of Lisbon

Key Points

The aim is to explore the diversity aspects of personas generated by large language models (LLMs) in the context of requirements engineering.
Qualitative analysis of LLM-generated personas
Comparative evaluation of persona diversity
Framework development for assessing persona effectiveness
Identified strengths and weaknesses of LLM-generated personas
Highlighted implications for user representation
Demonstrated the need for improved diversity in generated personas

Abstract

This paper summarizes our work, "The Good, the Bad, and the Uncanny: Investigating Diversity Aspects of LLM-Generated Personas for Requirements Engineering"La25a, presented at the 33rd IEEE International Requirements Engineering 2025 conference (RE 2025).

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