help研究问题GUI/IoT 任务自动化与界面生成如何在GUI任务自动化中显式建模用户操作的认知依赖?CHI '25From Operation to Cognition: Automatic Modeling Cognitive Dependencies from User Demonstrations for GUI Task Automation
help研究问题GUI/IoT 任务自动化与界面生成利用任务图(task graph)能显著提高任务程序的跨情境泛化能力吗?CHI '25From Operation to Cognition: Automatic Modeling Cognitive Dependencies from User Demonstrations for GUI Task Automation
help研究问题GUI/IoT 任务自动化与界面生成如何借助大语言模型提取用户操作中隐含的认知依赖并提升自动化的成功率?CHI '25From Operation to Cognition: Automatic Modeling Cognitive Dependencies from User Demonstrations for GUI Task Automation
lightbulb现实痛点GUI/IoT 任务自动化与界面生成用户在PBD系统中难以完成复杂任务,因其无法识别操作间的认知依赖。CHI '25From Operation to Cognition: Automatic Modeling Cognitive Dependencies from User Demonstrations for GUI Task Automation
help研究问题GUI/IoT 任务自动化与界面生成如何利用任务驱动的数据模型动态生成用户界面,并适应用户不断变化的需求?CHI '25Generative and Malleable User Interfaces with Generative and Evolving Task-Driven Data Model
help研究问题GUI/IoT 任务自动化与界面生成任务驱动的数据模型在生成与演化用户界面时的准确性和任务相关性如何?CHI '25Generative and Malleable User Interfaces with Generative and Evolving Task-Driven Data Model
help研究问题GUI/IoT 任务自动化与界面生成用户通过自然语言提示和直接操作来定制界面的效率和体验表现如何?CHI '25Generative and Malleable User Interfaces with Generative and Evolving Task-Driven Data Model
lightbulb现实痛点GUI/IoT 任务自动化与界面生成用户难以动态调整界面以满足多变的任务需求。CHI '25Generative and Malleable User Interfaces with Generative and Evolving Task-Driven Data Model
help研究问题GUI/IoT 任务自动化与界面生成大语言模型能否帮助智能家居理解用户模糊或宽泛的指令?UbiComp '24Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models
help研究问题GUI/IoT 任务自动化与界面生成如何通过迭代推理流程优化智能家居助手的响应质量?UbiComp '24Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models
help研究问题GUI/IoT 任务自动化与界面生成大语言模型在生成智能家居设备操作计划时会面临哪些失败模式?UbiComp '24Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models
lightbulb现实痛点GUI/IoT 任务自动化与界面生成智能家居难以精准响应用户的模糊指令,导致操作复杂化。UbiComp '24Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models
help研究问题GUI/IoT 任务自动化与界面生成如何实现基于自然语言的零代码触发-动作程序(TAP)生成?UbiComp '24ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs
help研究问题GUI/IoT 任务自动化与界面生成如何通过上下文感知的压缩提示减少TAP生成中的token消耗?UbiComp '24ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs
help研究问题GUI/IoT 任务自动化与界面生成深度强化学习(DRL)如何优化IoT设备模型的部署方式以满足用户需求?UbiComp '24ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs
lightbulb现实痛点GUI/IoT 任务自动化与界面生成普通用户难以创建智能家居规则,需要学习复杂的编程指令。UbiComp '24ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs
help研究问题GUI/IoT 任务自动化与界面生成如何利用大语言模型(如GPT-3)优化移动应用使用预测?UbiComp '24MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings
help研究问题GUI/IoT 任务自动化与界面生成在缺乏用户历史数据的情况下(冷启动问题),如何准确预测移动应用使用行为?UbiComp '24MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings
help研究问题GUI/IoT 任务自动化与界面生成如何基于大语言模型(LLMs)识别智能家居环境中的活动结构单元?UbiComp '24Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
help研究问题GUI/IoT 任务自动化与界面生成不同类型的大语言模型在活动识别任务中有何特性与互补性?UbiComp '24Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
help研究问题GUI/IoT 任务自动化与界面生成所识别的活动结构单元是否能够提高短时和低频活动的识别精度?UbiComp '24Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
lightbulb现实痛点GUI/IoT 任务自动化与界面生成智能家居中短时和低频活动的识别精度差,难以满足用户需求。UbiComp '24Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
help研究问题GUI/IoT 任务自动化与界面生成如何利用大语言模型(LLM)从移动应用的交互日志中提取语义丰富的宏任务?CHI '24Automatic Macro Mining from Interaction Traces at Scale
help研究问题GUI/IoT 任务自动化与界面生成如何在多条交互路径中优化用户操作,生成高效的宏任务?CHI '24Automatic Macro Mining from Interaction Traces at Scale
help研究问题GUI/IoT 任务自动化与界面生成提取的宏任务能否用于验证和重现移动应用中的自动化功能?CHI '24Automatic Macro Mining from Interaction Traces at Scale
lightbulb现实痛点GUI/IoT 任务自动化与界面生成用户需要多步操作完成任务,移动应用中难以高效提取宏任务。CHI '24Automatic Macro Mining from Interaction Traces at Scale
help研究问题GUI/IoT 任务自动化与界面生成如何通过大语言模型(LLM)增强的自动探索方法实现更高质量和现代风格的移动UI数据集?CHI '24MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modeling
help研究问题GUI/IoT 任务自动化与界面生成哪些噪声过滤技术能有效提高UI数据集的质量,同时保留重要信息?CHI '24MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modeling
help研究问题GUI/IoT 任务自动化与界面生成改进后的数据集在UI元素检测和UI检索等任务中的表现如何,相较于现有数据集有何提升?CHI '24MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modeling
lightbulb现实痛点GUI/IoT 任务自动化与界面生成现有移动UI数据集缺乏现代风格且存在大量噪声,影响建模精度。CHI '24MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modeling
help研究问题GUI/IoT 任务自动化与界面生成如何在多模态交互中通过大语言模型简化开发流程并降低技术门槛?CHI '24ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models
help研究问题GUI/IoT 任务自动化与界面生成大语言模型能否通过定制编程语言提高用户命令的语义解析准确率?CHI '24ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models
help研究问题GUI/IoT 任务自动化与界面生成ReactGenie框架如何提升多模态交互应用的开发效率和用户体验?CHI '24ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models
lightbulb现实痛点GUI/IoT 任务自动化与界面生成开发者难以高效实现复杂的语音与触控结合的多模态交互。CHI '24ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models
help研究问题GUI/IoT 任务自动化与界面生成人机协作如何帮助用户以自然语言构建个性化场景规则?UIST '23From Gap to Synergy: Enhancing Contextual Understanding through Human-Machine Collaboration in Personalized Systems
help研究问题GUI/IoT 任务自动化与界面生成共享上下文概念(SCCs)如何桥接用户高层次表达与机器低层次规则之间的差距?UIST '23From Gap to Synergy: Enhancing Contextual Understanding through Human-Machine Collaboration in Personalized Systems
help研究问题GUI/IoT 任务自动化与界面生成使用大语言模型(LLMs)可以在多大程度上改善用户对触发-动作规则的理解和使用?UIST '23From Gap to Synergy: Enhancing Contextual Understanding through Human-Machine Collaboration in Personalized Systems
lightbulb现实痛点GUI/IoT 任务自动化与界面生成普通用户很难用自然语言编写IoT设备的场景规则。UIST '23From Gap to Synergy: Enhancing Contextual Understanding through Human-Machine Collaboration in Personalized Systems
help研究问题GUI/IoT 任务自动化与界面生成如何通过对话式界面实现更高效的IoT服务组合(Mashup)定位与修改?CHI '22A Conversational Approach for Modifying Service Mashups in IoT Environments
help研究问题GUI/IoT 任务自动化与界面生成模糊表达(Implicature)如何帮助用户在对话中直接定位所需的IoT服务组合?CHI '22A Conversational Approach for Modifying Service Mashups in IoT Environments
help研究问题GUI/IoT 任务自动化与界面生成多轮对话策略如何改善模糊命令解析并减少用户操作负担?CHI '22A Conversational Approach for Modifying Service Mashups in IoT Environments
lightbulb现实痛点GUI/IoT 任务自动化与界面生成用户在智能家居中难以用自然语言快速修改IoT服务组合。CHI '22A Conversational Approach for Modifying Service Mashups in IoT Environments