LLMs' ways of seeing User Personas
Fuente:
arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913513429008384 |
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| author | Panda, Swaroop |
| author_facet | Panda, Swaroop |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_14858 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | LLMs' ways of seeing User Personas Panda, Swaroop Human-Computer Interaction 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. |
| title | LLMs' ways of seeing User Personas |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2409.14858 |