helpResearch questionML系统设计与跨角色协作支持为什么在用户体验(UX)工作中会出现人工智能(AI)工具的非使用现象?CHI '25Understanding Socio-technical Factors Configuring AI Non-Use in UX Work Practices
helpResearch questionML系统设计与跨角色协作支持AI工具的非使用会受到哪些个人、职业、组织和社会层面的约束因素的影响?CHI '25Understanding Socio-technical Factors Configuring AI Non-Use in UX Work Practices
helpResearch questionML系统设计与跨角色协作支持如何利用社会技术系统框架更好地分析AI非使用现象的复杂关系?CHI '25Understanding Socio-technical Factors Configuring AI Non-Use in UX Work Practices
lightbulbPractical problemML系统设计与跨角色协作支持UX从业者面对AI工具时,可能因为局限性或顾虑而不愿使用。CHI '25Understanding Socio-technical Factors Configuring AI Non-Use in UX Work Practices
helpResearch questionML系统设计与跨角色协作支持如何改进用于图形用户界面的机器学习工具的可用性评估方法?CHI '24Establishing Heuristics for Improving the Usability of GUI Machine Learning Tools for Novice Users
helpResearch questionML系统设计与跨角色协作支持现有的尼尔森启发式方法如何适配与优化GUI机器学习工具的复杂需求?CHI '24Establishing Heuristics for Improving the Usability of GUI Machine Learning Tools for Novice Users
helpResearch questionML系统设计与跨角色协作支持设计适合新手用户的GUI机器学习工具时,需要哪些具体的可用性标准?CHI '24Establishing Heuristics for Improving the Usability of GUI Machine Learning Tools for Novice Users
lightbulbPractical problemML系统设计与跨角色协作支持新手用户难以有效使用现有的GUI机器学习工具。CHI '24Establishing Heuristics for Improving the Usability of GUI Machine Learning Tools for Novice Users
helpResearch questionML系统设计与跨角色协作支持在设计的不同阶段,UX从业者通常与哪些角色进行协作?CHI '23Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations
helpResearch questionML系统设计与跨角色协作支持UX从业者在协作过程中使用了哪些工具和策略?CHI '23Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations
helpResearch questionML系统设计与跨角色协作支持与开发人员和机器学习从业者协作时面临哪些挑战?CHI '23Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations
helpResearch questionML系统设计与跨角色协作支持在协作中,设计系统的期望和管理方式是什么?CHI '23Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations
helpResearch questionML系统设计与跨角色协作支持UX从业者在可用性测试数据分析中使用了哪些协作模型?CHI '22"Merging Results Is No Easy Task": An International Survey Study of Collaborative Data Analysis Practices Among UX Practitioners
helpResearch questionML系统设计与跨角色协作支持经验和团队规模如何影响UX从业者的数据协作实践?CHI '22"Merging Results Is No Easy Task": An International Survey Study of Collaborative Data Analysis Practices Among UX Practitioners
helpResearch questionML系统设计与跨角色协作支持当前协作实践中的主要挑战和功能改进需求是什么?CHI '22"Merging Results Is No Easy Task": An International Survey Study of Collaborative Data Analysis Practices Among UX Practitioners
lightbulbPractical problemML系统设计与跨角色协作支持UX从业者难以在资源有限下高效完成数据协作分析。CHI '22"Merging Results Is No Easy Task": An International Survey Study of Collaborative Data Analysis Practices Among UX Practitioners