Generative AI has the potential to transform knowledge work, but further research is needed to understand how knowledge workers envision using and interacting with generative AI. We investigate the development of generative AI tools to support domain experts in knowledge work, examining task delegation and the design of human-AI interactions. Our research focused on designing a generative AI assistant to aid genetic professionals in analyzing whole genome sequences (WGS) and other clinical data for rare disease diagnosis. Through interviews with 17 genetics professionals, we identified current challenges in WGS analysis. We then conducted co-design sessions with six genetics professionals to determine tasks that could be supported by an AI assistant and considerations for designing interactions with the AI assistant. From our findings, we identified sensemaking as both a current challenge in WGS analysis and a process that could be supported by AI. We contribute an understanding of how domain experts envision interacting with generative AI in their knowledge work, a detailed empirical study of WGS analysis, and three design considerations for using generative AI to support domain experts in sensemaking during knowledge work. CCS CONCEPTS: Human-centered computing, Human-computer interaction, Empirical studies in HCI Additional Keywords and Phrases: whole genome sequencing, generative AI, large language models, knowledge work, sensemaking, co-design, rare disease Contact Author: Angela Mastrianni (This work was done during the author's internship at Microsoft Research) Ashley Mae Conard and Amanda K. Hall contributed equally

翻译：生成式AI具有变革知识工作的潜力，但需要进一步研究以理解知识工作者如何设想使用生成式AI并与之交互。我们研究了支持领域专家进行知识工作的生成式AI工具的开发，考察了任务委派及人机交互设计。我们的研究聚焦于设计一款生成式AI助手，以协助遗传学专业人士分析全基因组测序数据及其他临床数据，用于罕见病诊断。通过对17位遗传学专业人士的访谈，我们识别了当前全基因组测序分析中的挑战。随后，我们与六位遗传学专业人士开展了协同设计会议，以确定可由AI助手支持的任务，以及设计AI助手交互时的考量因素。基于研究发现，我们将意义建构识别为当前全基因组测序分析中的一项挑战，同时也是一个可由AI支持的过程。我们的贡献包括：对领域专家如何设想在其知识工作中与生成式AI交互的理解、一项关于全基因组测序分析的详细实证研究，以及三项利用生成式AI支持领域专家在知识工作中进行意义建构的设计考量。CCS概念：人本计算、人机交互、人机交互实证研究 附加关键词与短语：全基因组测序、生成式AI、大语言模型、知识工作、意义建构、协同设计、罕见病 通讯作者：Angela Mastrianni（本工作完成于作者在微软研究院实习期间）Ashley Mae Conard与Amanda K. Hall对本工作贡献相同