helpResearch question信息整理、文档分析与定性研究在多模态交互的开发早期,如何有效预测用户未实现的需求和功能?CHI '25GenieWizard: Multimodal App Feature Discovery with Large Language Models
helpResearch question信息整理、文档分析与定性研究LLM(大型语言模型)在模拟用户行为和解析未实现功能方面能提供哪些具体支持?CHI '25GenieWizard: Multimodal App Feature Discovery with Large Language Models
helpResearch question信息整理、文档分析与定性研究如何通过代码划分和特征聚类生成对开发者有帮助的功能建议?CHI '25GenieWizard: Multimodal App Feature Discovery with Large Language Models
lightbulbPractical problem信息整理、文档分析与定性研究开发者无法预判用户在多模态应用中的所有潜在需求,导致用户体验不佳。CHI '25GenieWizard: Multimodal App Feature Discovery with Large Language Models
helpResearch question信息整理、文档分析与定性研究大语言模型(LLMs)在定性研究中作为合成研究参与者时,能否实现定性研究的核心目标和伦理要求?CHI '25Simulacrum of stories: Examining Large Language Models as Qualitative Research Participants
helpResearch question信息整理、文档分析与定性研究定性研究者如何看待使用LLMs替代真实参与者的局限性和伦理挑战?CHI '25Simulacrum of stories: Examining Large Language Models as Qualitative Research Participants
helpResearch question信息整理、文档分析与定性研究LLMs生成的数据在深度和可靠性上与真实访谈数据相比存在何种差距?CHI '25Simulacrum of stories: Examining Large Language Models as Qualitative Research Participants
lightbulbPractical problem信息整理、文档分析与定性研究研究者在定性研究中难以平衡效率提升和伦理问题。CHI '25Simulacrum of stories: Examining Large Language Models as Qualitative Research Participants
helpResearch question信息整理、文档分析与定性研究如何利用生成式大语言模型(LLM)生成的隐喻提高HCI研究者对STS文献的理解?CHI '25Towards Dialogic and On-Demand Metaphors for Interdisciplinary Reading
helpResearch question信息整理、文档分析与定性研究动态对话模型如何通过隐喻生成促进跨学科学术文本的交流和共享?CHI '25Towards Dialogic and On-Demand Metaphors for Interdisciplinary Reading
helpResearch question信息整理、文档分析与定性研究哪种隐喻特性(如基于经验、保持一定模糊性等)对提升文献可读性最有效?CHI '25Towards Dialogic and On-Demand Metaphors for Interdisciplinary Reading
lightbulbPractical problem信息整理、文档分析与定性研究HCI研究者难以理解STS文献中的专业术语与抽象内容。CHI '25Towards Dialogic and On-Demand Metaphors for Interdisciplinary Reading
helpResearch question信息整理、文档分析与定性研究如何设计一个框架以自动生成用于将非结构化文档与结构化数据关联的自定义界面?UIST '24Quilt: Custom UIs for Linking Unstructured Documents to Structured Datasets
helpResearch question信息整理、文档分析与定性研究这样的框架如何能支持领域专家在高风险决策情境下进行解释性和准确的实体匹配?UIST '24Quilt: Custom UIs for Linking Unstructured Documents to Structured Datasets
helpResearch question信息整理、文档分析与定性研究该框架如何提高非结构化文档和数据库关联任务的效率与灵活性?UIST '24Quilt: Custom UIs for Linking Unstructured Documents to Structured Datasets
lightbulbPractical problem信息整理、文档分析与定性研究处理PDF等非结构化文档与数据库关联任务繁琐且易出错。UIST '24Quilt: Custom UIs for Linking Unstructured Documents to Structured Datasets
helpResearch question信息整理、文档分析与定性研究人类与基于大语言模型(LLM)的系统能否有效协作生成高质量的研究问题?CHI '24How AI Processing Delays Foster Creativity: Exploring Research Question Co-Creation with an LLM-based Agent
helpResearch question信息整理、文档分析与定性研究两种交互模式(广度优先与深度优先)对研究问题生成质量和用户体验的影响如何?CHI '24How AI Processing Delays Foster Creativity: Exploring Research Question Co-Creation with an LLM-based Agent
helpResearch question信息整理、文档分析与定性研究用户的学术背景和任务熟悉度如何影响他们对AI生成问题的评估和交互偏好?CHI '24How AI Processing Delays Foster Creativity: Exploring Research Question Co-Creation with an LLM-based Agent
lightbulbPractical problem信息整理、文档分析与定性研究研究人员难以从文献中快速生成高质量的研究问题。CHI '24How AI Processing Delays Foster Creativity: Exploring Research Question Co-Creation with an LLM-based Agent
helpResearch question信息整理、文档分析与定性研究如何利用大语言模型(如GPT)实现多文档集合层面的信息提取与语义综合?CHI '24Marco: Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models
helpResearch question信息整理、文档分析与定性研究如何设计一种人机协同的界面来简化复杂文档集合的理解与分析过程?CHI '24Marco: Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models
helpResearch question信息整理、文档分析与定性研究在高风险任务中,如何验证和提升大语言模型生成内容的可信度?CHI '24Marco: Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models
lightbulbPractical problem信息整理、文档分析与定性研究知识工作者处理和分析文档集合需要大量重复劳动,费时低效。CHI '24Marco: Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models
helpResearch question信息整理、文档分析与定性研究如何利用大语言模型(如GPT-4)从非结构化文本中提取高层次、可解释的概念?CHI '24Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM
helpResearch question信息整理、文档分析与定性研究LLooM算法的高层次概念生成相比现有主题建模方法(如LDA、BERTopic)有何优势?CHI '24Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM
helpResearch question信息整理、文档分析与定性研究分析师如何通过交互工具有效地在数据分析中转化低层次信号为高层次概念?CHI '24Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM
lightbulbPractical problem信息整理、文档分析与定性研究数据分析师难以从复杂文本中抽取高层次、可解释的洞见。CHI '24Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM
helpResearch question信息整理、文档分析与定性研究如何利用大型语言模型生成陌生领域的全局概述以帮助用户启动信息整理(sensemaking)过程?CHI '24Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models
helpResearch question信息整理、文档分析与定性研究互动设计如何在全局与局部之间架起桥梁,提升信息处理效率和理解质量?CHI '24Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models
helpResearch question信息整理、文档分析与定性研究与传统工具相比,基于大型语言模型的Selenite系统在信息整理支持方面有哪些优势?CHI '24Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models
lightbulbPractical problem信息整理、文档分析与定性研究用户在陌生领域的信息整理和决策常因信息过载而困难和低效。CHI '24Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models
helpResearch question信息整理、文档分析与定性研究如何通过设计一种平台降低协作定性分析(CQA)的复杂性和准入门槛?CHI '24CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models
helpResearch question信息整理、文档分析与定性研究大型语言模型(LLMs)如何在CQA工作流程中有效支持开编码、共识编码和代码本开发?CHI '24CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models
helpResearch question信息整理、文档分析与定性研究LLM在CQA中的使用如何影响代码一致性、讨论效率和代码组生成的质量?CHI '24CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models
lightbulbPractical problem信息整理、文档分析与定性研究协作定性分析对团队合作和新手有较高的流程门槛和工作负担。CHI '24CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models
helpResearch question信息整理、文档分析与定性研究如何利用大语言模型(如GPT-3.5)来支持协作质性分析的效率和一致性?CSCW '23CollabCoder: A GPT-Powered Workflow for Collaborative Qualitative Analysis
helpResearch question信息整理、文档分析与定性研究GPT在协作质性分析的独立编码和代码合并阶段能提供哪些具体支持?CSCW '23CollabCoder: A GPT-Powered Workflow for Collaborative Qualitative Analysis
helpResearch question信息整理、文档分析与定性研究如何通过自动化工具改进协作质性分析的代码分组和最终代码本生成过程?CSCW '23CollabCoder: A GPT-Powered Workflow for Collaborative Qualitative Analysis
lightbulbPractical problem信息整理、文档分析与定性研究团队在协作质性分析中耗时长且沟通成本高。CSCW '23CollabCoder: A GPT-Powered Workflow for Collaborative Qualitative Analysis
helpResearch question信息整理、文档分析与定性研究大语言模型生成的合成数据在用户体验研究中的真实性如何?CHI '23Evaluating Large Language Models in Generating Synthetic HCI Research Data: a Case Study
helpResearch question信息整理、文档分析与定性研究GPT-3生成的文本能否与人类创建的文本区分开?CHI '23Evaluating Large Language Models in Generating Synthetic HCI Research Data: a Case Study
helpResearch question信息整理、文档分析与定性研究生成的用户体验数据在主题分布和多样性上如何与真实数据相比?CHI '23Evaluating Large Language Models in Generating Synthetic HCI Research Data: a Case Study
lightbulbPractical problem信息整理、文档分析与定性研究HCI研究中收集真实数据成本高,耗时长。CHI '23Evaluating Large Language Models in Generating Synthetic HCI Research Data: a Case Study