LLMs' ways of seeing User Personas

Swaroop Panda

doi:10.48550/arXiv.2409.14858

LLMs' ways of seeing User Personas

Swaroop Panda

Computer and Information Sciences Department

Research output: Working paper › Preprint

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.

Original language	English
Publisher	Arxiv
Pages	1-12
Number of pages	12
DOIs	https://doi.org/10.48550/arXiv.2409.14858
Publication status	Submitted - 9 Nov 2024

Keywords

LLMs
User Personas

Access to Document

10.48550/arXiv.2409.14858Licence: CC BY

2409.14858v1Submitted manuscript, 130 KBLicence: CC BY

1 Poster

LLMs' ways of seeing User Personas
Panda, S., 7 Nov 2024.
Research output: Contribution to conference › Poster › peer-review

Cite this

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