lightbulbPractical problem编程助手与多轮代码支持工程师在高风险任务中不信任自动化工具,可能导致效率低下甚至任务失败。CHI '21Trust in Collaborative Automation in High Stakes Software Engineering Work: A Case Study at NASA
helpResearch question编程助手与多轮代码支持在程序追踪中,工作记忆的限制如何影响记忆变量状态和追踪策略的选择?CHI '21The Role of Working Memory in Program Tracing
helpResearch question编程助手与多轮代码支持在哪些情况下,线性策略比按需策略更有效地减少工作记忆错误?CHI '21The Role of Working Memory in Program Tracing
helpResearch question编程助手与多轮代码支持设计怎样的工具界面可以有效支持有限工作记忆能力的用户进行程序追踪?CHI '21The Role of Working Memory in Program Tracing
lightbulbPractical problem编程助手与多轮代码支持程序员在追踪代码时容易因工作记忆限制而出错。CHI '21The Role of Working Memory in Program Tracing
helpResearch question编程助手与多轮代码支持用户在实际使用自动化机器学习(Auto-ML)工具时会遇到哪些典型挑战?CHI '21Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
helpResearch question编程助手与多轮代码支持如何通过设计改进,提升用户与Auto-ML工具协作的效率与体验?CHI '21Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
helpResearch question编程助手与多轮代码支持哪些具体功能和界面设计能支持用户在Auto-ML任务中的动态交互和个性化需求?CHI '21Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
lightbulbPractical problem编程助手与多轮代码支持非技术专家难以高效使用复杂的机器学习工具。CHI '21Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows