Lune

CSCW2025顶会

Current and Future Use of Large Language Models for Knowledge Work

Michelle Brachman, Amina H. El-Ashry, Casey Dugan, Werner Geyer

2025年份
10被引次数
2顶会引用

摘要

Large Language Models (LLMs) have introduced a paradigm shift in interaction with AI technology, enabling knowledge workers to complete tasks by specifying their desired outcome in natural language. LLMs have the potential to increase productivity and reduce tedious tasks in an unprecedented way. A systematic study of LLM adoption for work can provide insight into how LLMs can best support these workers. To explore knowledge workers' current and desired usage of LLMs, we ran a survey (n=216). Workers described tasks they already used LLMs for, like generating code or improving text, but imagined a future with LLMs integrated into their workflows and data. We ran a second survey (n=107) a year later that validated our initial findings and provides insight into up-to-date LLM use by knowledge workers. We discuss implications for adoption and design of generative AI technologies for knowledge work.

CCS Concepts: • Human-centered computing → Natural language interfaces; Empirical studies in HCI.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

lune papers fulltext fe2f116a-356a-442f-89e7-b66f8f59a5e9

引用它的顶会 Paper2

问问它们各自怎么用它

它引用的顶会 Paper13

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖