LLMs' ways of seeing User Personas

2024/09/23 by Swaroop Panda, Panda, Swaroop · 3 citations
Computer Science · Social Sciences · #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Persona Design and Applications #Technology Use by Older Adults

paper · pdf · doi:10.48550/arxiv.2409.14858

openalex publication_date 2024/09/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Large Language Models (LLMs), which have gained significant traction in recent years, also function as big structured repositories of data. User personas are a significant and widely utilized method in HCI. This study aims to investigate how LLMs, in their role as data repositories, interpret user personas. Our focus is specifically on personas within the Indian context, seeking to understand how LLMs would interpret such culturally specific personas. To achieve this, we conduct both quantitative and qualitative analyses. This multifaceted approach allows us a primary understanding of the interpretative capabilities of LLMs concerning personas within the Indian context.

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