Data Discovery using LLMs -- A Study of Data User Behaviour

Fuente: arXiv
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Hauptverfasser: Kreutz, Christin Katharina, Perry, Anja, Friedrich, Tanja
Format: Preprint
Veröffentlicht: 2025
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author Kreutz, Christin Katharina
Perry, Anja
Friedrich, Tanja
author_facet Kreutz, Christin Katharina
Perry, Anja
Friedrich, Tanja
contents Data search for scientific research is more complex than a simple web search. The emergence of large language models (LLMs) and their applicability for scientific tasks offers new opportunities for researchers who are looking for data, e.g., to freely express their data needs instead of fitting them into restrictions of data catalogues and portals. However, this also creates uncertainty about whether LLMs are suitable for this task. To answer this question, we conducted a user study with 32 researchers. We qualitatively and quantitively analysed participants' information interaction behaviour while searching for data using LLMs in two data search tasks, one in which we prompted the LLM to behave as a persona. We found that participants interact with LLMs in natural language, but LLMs remain a tool for them rather than an equal conversational partner. This changes slightly when the LLM is prompted to behave as a persona, but the prompting only affects participants' user experience when they are already experienced in LLM use.
format Preprint
id arxiv_https___arxiv_org_abs_2507_04444
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Data Discovery using LLMs -- A Study of Data User Behaviour
Kreutz, Christin Katharina
Perry, Anja
Friedrich, Tanja
Digital Libraries
Data search for scientific research is more complex than a simple web search. The emergence of large language models (LLMs) and their applicability for scientific tasks offers new opportunities for researchers who are looking for data, e.g., to freely express their data needs instead of fitting them into restrictions of data catalogues and portals. However, this also creates uncertainty about whether LLMs are suitable for this task. To answer this question, we conducted a user study with 32 researchers. We qualitatively and quantitively analysed participants' information interaction behaviour while searching for data using LLMs in two data search tasks, one in which we prompted the LLM to behave as a persona. We found that participants interact with LLMs in natural language, but LLMs remain a tool for them rather than an equal conversational partner. This changes slightly when the LLM is prompted to behave as a persona, but the prompting only affects participants' user experience when they are already experienced in LLM use.
title Data Discovery using LLMs -- A Study of Data User Behaviour
topic Digital Libraries
url https://arxiv.org/abs/2507.04444