help研究问题编程助手与多轮代码支持日志流能否帮助程序员更快速定位并理解复杂的日志输出?CHI '23Log-it: Supporting Programming with Interactive, Contextual, Structured, and Visual Logs
help研究问题编程助手与多轮代码支持如何在不增加程序员负担的情况下,将日志集成到开发环境中以支持实时交互和可视化?CHI '23Log-it: Supporting Programming with Interactive, Contextual, Structured, and Visual Logs
lightbulb现实痛点编程助手与多轮代码支持程序员调试时难以快速定位和理解无结构的日志输出。CHI '23Log-it: Supporting Programming with Interactive, Contextual, Structured, and Visual Logs
help研究问题编程助手与多轮代码支持如何从任意的语法规则自动生成流畅的结构化编辑器?CHI '23Structured Editing for All: Deriving Usable Structured Editors From Grammars
help研究问题编程助手与多轮代码支持使用用户的键盘输入实时映射到语法树的过程中,如何设计用户交互以确保自然的编辑体验?CHI '23Structured Editing for All: Deriving Usable Structured Editors From Grammars
help研究问题编程助手与多轮代码支持自动生成的结构化编辑器在语法兼容性和用户友好性上能否与传统文本编辑器竞争?CHI '23Structured Editing for All: Deriving Usable Structured Editors From Grammars
lightbulb现实痛点编程助手与多轮代码支持程序员在使用结构化编辑器时,常因交互不自然或语言兼容性差而放弃使用。CHI '23Structured Editing for All: Deriving Usable Structured Editors From Grammars
help研究问题编程助手与多轮代码支持如何设计适应于计算型笔记本(如Jupyter)的AI代码助手界面和交互方式?CHI '23On the Design of AI-powered Code Assistants for Notebooks
help研究问题编程助手与多轮代码支持AI代码助手在多模态(如表格、图表)和非线性工作流中如何更好满足用户需求?CHI '23On the Design of AI-powered Code Assistants for Notebooks
help研究问题编程助手与多轮代码支持在代码上下文中,如何有效呈现候选方案并支持用户对生成代码进行适应调整?CHI '23On the Design of AI-powered Code Assistants for Notebooks
lightbulb现实痛点编程助手与多轮代码支持数据科学家在非线性代码编写中难以有效利用现有的AI代码助手。CHI '23On the Design of AI-powered Code Assistants for Notebooks
help研究问题编程助手与多轮代码支持计算机视觉深度学习模型在部署前处理失败的具体需求和实践有哪些?CHI '23Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs
help研究问题编程助手与多轮代码支持在失败管理中,现有方法(如可解释性工具)与实践者实际方法之间的差距是什么?CHI '23Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs
help研究问题编程助手与多轮代码支持如何通过新的工具和培训满足实践者在模型失败处理中的需求?CHI '23Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs
lightbulb现实痛点编程助手与多轮代码支持机器学习开发者缺乏高效工具和流程来处理模型错误,影响模型部署。CHI '23Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs
help研究问题编程助手与多轮代码支持程序员在调试代码时,如何更高效地在不同抽象级别间切换?CHI '23CrossCode: Multi-level Visual Representations of Computer Program Execution
help研究问题编程助手与多轮代码支持多级程序可视化如何增强对控制流和数据流的理解?CHI '23CrossCode: Multi-level Visual Representations of Computer Program Execution
help研究问题编程助手与多轮代码支持哪些设计模式可以提高程序可视化工具对复杂代码的适应性?CHI '23CrossCode: Multi-level Visual Representations of Computer Program Execution
lightbulb现实痛点编程助手与多轮代码支持程序员难以快速理解代码执行,导致调试效率低下。CHI '23CrossCode: Multi-level Visual Representations of Computer Program Execution
help研究问题编程助手与多轮代码支持AutoML在实际工作中面临哪些主要限制(如透明性不足、定制化不够、隐私风险)?CHI '23AutoML in The Wild: Obstacles, Workarounds, and Expectations
help研究问题编程助手与多轮代码支持用户如何通过策略性使用来克服AutoML的设计缺陷?CHI '23AutoML in The Wild: Obstacles, Workarounds, and Expectations
help研究问题编程助手与多轮代码支持从用户视角出发,如何改进AutoML以适应复杂场景需求?CHI '23AutoML in The Wild: Obstacles, Workarounds, and Expectations
lightbulb现实痛点编程助手与多轮代码支持用户在使用AutoML时难以获得透明性、定制化,以及有隐私风险。CHI '23AutoML in The Wild: Obstacles, Workarounds, and Expectations
help研究问题编程助手与多轮代码支持如何通过模块化框架支持领域专家和程序员协作开发定制的领域优化器?CHI '23OPTIMISM: Enabling Collaborative Implementation of Domain-Specific Metaheuristic Optimization
help研究问题编程助手与多轮代码支持非技术用户如何通过无编程的图形界面参与元启发式优化过程?CHI '23OPTIMISM: Enabling Collaborative Implementation of Domain-Specific Metaheuristic Optimization
help研究问题编程助手与多轮代码支持OPTIMISM工具相比现有优化工具在效率和用户满意度上有何改进?CHI '23OPTIMISM: Enabling Collaborative Implementation of Domain-Specific Metaheuristic Optimization
lightbulb现实痛点编程助手与多轮代码支持领域专家难以与程序员合作开发满足特定需求的优化工具CHI '23OPTIMISM: Enabling Collaborative Implementation of Domain-Specific Metaheuristic Optimization
help研究问题编程助手与多轮代码支持公共和企业自建的安全开发指南在软件开发中如何被实际应用?CHI '23Analyzing the Use of Public and In-house Secure Development Guidelines in U.S. and Japanese Industries
help研究问题编程助手与多轮代码支持美国与日本开发者在使用安全开发指南时有什么文化和项目差异?CHI '23Analyzing the Use of Public and In-house Secure Development Guidelines in U.S. and Japanese Industries
help研究问题编程助手与多轮代码支持推荐的安全开发指南实践在不同企业环境中是否可行?CHI '23Analyzing the Use of Public and In-house Secure Development Guidelines in U.S. and Japanese Industries
lightbulb现实痛点编程助手与多轮代码支持开发人员难以高效采用安全开发指南应对日益严重的网络攻击。CHI '23Analyzing the Use of Public and In-house Secure Development Guidelines in U.S. and Japanese Industries
help研究问题编程助手与多轮代码支持如何通过概念标注的代码示例提高程序员对第三方库功能和差异的理解?UIST '22Concept-Labeled Examples for Library Comparison
help研究问题编程助手与多轮代码支持概念标注和并排比较能否帮助程序员更准确地选择适合的第三方库?UIST '22Concept-Labeled Examples for Library Comparison
lightbulb现实痛点编程助手与多轮代码支持程序员难以高效选择出适合的第三方库,导致决策失误。UIST '22Concept-Labeled Examples for Library Comparison
help研究问题编程助手与多轮代码支持视觉障碍程序员在代码导航和编辑中面临哪些具体挑战?UIST '22Grid-Coding: An Accessible, Efficient, and Structured Coding Paradigm for Blind and Low-Vision Programmers
help研究问题编程助手与多轮代码支持网格编码(Grid-Coding)能否改善视觉障碍程序员的代码阅读和编辑效率?UIST '22Grid-Coding: An Accessible, Efficient, and Structured Coding Paradigm for Blind and Low-Vision Programmers
help研究问题编程助手与多轮代码支持网格编码在减少代码语法和缩进错误方面的效果如何?UIST '22Grid-Coding: An Accessible, Efficient, and Structured Coding Paradigm for Blind and Low-Vision Programmers
lightbulb现实痛点编程助手与多轮代码支持视觉障碍程序员在代码阅读和编辑时容易出错且效率低。UIST '22Grid-Coding: An Accessible, Efficient, and Structured Coding Paradigm for Blind and Low-Vision Programmers
help研究问题编程助手与多轮代码支持如何将智能手机的触屏操作序列自动转化为语音命令接口?CHI '22Automatically Generating and Improving Voice Command Interface from Operation Sequences on Smartphones
help研究问题编程助手与多轮代码支持在语音命令中产生歧义时,怎样设计互动以最小化用户额外负担?CHI '22Automatically Generating and Improving Voice Command Interface from Operation Sequences on Smartphones
help研究问题编程助手与多轮代码支持语义理解如何通过累积的用户交互数据进行动态优化?CHI '22Automatically Generating and Improving Voice Command Interface from Operation Sequences on Smartphones
lightbulb现实痛点编程助手与多轮代码支持非程序员用户无法轻松创建用于自动化任务的自定义语音命令。CHI '22Automatically Generating and Improving Voice Command Interface from Operation Sequences on Smartphones
help研究问题编程助手与多轮代码支持用户在与生成式语言模型进行自然语言编程时,会遇到哪些主要困难?CHI '22Discovering the Syntax and Strategies of Natural Language Programming with Generative Language Models
help研究问题编程助手与多轮代码支持用户如何调整输入策略以提高生成代码的可用性?CHI '22Discovering the Syntax and Strategies of Natural Language Programming with Generative Language Models
help研究问题编程助手与多轮代码支持生成式语言模型能否在复杂编程任务中通过动态提示有效支持用户?CHI '22Discovering the Syntax and Strategies of Natural Language Programming with Generative Language Models
lightbulb现实痛点编程助手与多轮代码支持程序员用自然语言生成代码时,需花时间试错语法和调试。CHI '22Discovering the Syntax and Strategies of Natural Language Programming with Generative Language Models
help研究问题编程助手与多轮代码支持在高风险的软件工程场景中,工程师如何建立对自动化工具的信任?CHI '21Trust in Collaborative Automation in High Stakes Software Engineering Work: A Case Study at NASA
help研究问题编程助手与多轮代码支持哪些因素影响工程师对自动化工具的信任形成和发展?CHI '21Trust in Collaborative Automation in High Stakes Software Engineering Work: A Case Study at NASA
help研究问题编程助手与多轮代码支持能否有效将“协作信任”模式应用于高风险领域的软件工具设计中?CHI '21Trust in Collaborative Automation in High Stakes Software Engineering Work: A Case Study at NASA