helpResearch question指标理解与分析解释支持用户如何选择并理解低级和高级指标(直接测量与衍生指标)之间的差异?CHI '25The Framework of the Lived Experience of Metrics: Understanding the Purposes and Activities of Self-Tracking Metrics
helpResearch question指标理解与分析解释支持用户与复杂指标的交互动态有哪些?如何在不同情境下重新选择或重新定义目标?CHI '25The Framework of the Lived Experience of Metrics: Understanding the Purposes and Activities of Self-Tracking Metrics
helpResearch question指标理解与分析解释支持通过何种方式设计个人信息学系统的指标以更好地满足用户需求并提高健康管理效果?CHI '25The Framework of the Lived Experience of Metrics: Understanding the Purposes and Activities of Self-Tracking Metrics
lightbulbPractical problem指标理解与分析解释支持用户难以理解复杂的衍生指标,影响健康管理效果。CHI '25The Framework of the Lived Experience of Metrics: Understanding the Purposes and Activities of Self-Tracking Metrics
helpResearch question指标理解与分析解释支持能否使用便携式耳朵中心EEG设备监测知识工作者的自然流畅体验(flow states)?CHI '25Exploring Flow in Real-World Knowledge Work Using Discrete cEEGrid Sensors
helpResearch question指标理解与分析解释支持自然知识工作任务中的流畅体验是否与实验室中的任务产生的流畅体验具有相同的神经指标?CHI '25Exploring Flow in Real-World Knowledge Work Using Discrete cEEGrid Sensors
helpResearch question指标理解与分析解释支持自然工作情境中流畅体验与EEG频段(如theta、beta)的关系是什么样的变化规律?CHI '25Exploring Flow in Real-World Knowledge Work Using Discrete cEEGrid Sensors
lightbulbPractical problem指标理解与分析解释支持知识工作者缺乏可靠的工具来实时监测其流畅体验。CHI '25Exploring Flow in Real-World Knowledge Work Using Discrete cEEGrid Sensors
helpResearch question指标理解与分析解释支持如何在无线网络中优化客户集群以提高联邦学习(FL)的能效表现?UbiComp '23Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks
helpResearch question指标理解与分析解释支持“有效客户数量”指标如何量化数据异质性并预测FL系统性能?UbiComp '23Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks
helpResearch question指标理解与分析解释支持平行Gibbs采样算法对能源成本优化和FL性能平衡有何效果?UbiComp '23Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks
lightbulbPractical problem指标理解与分析解释支持无线网络中的联邦学习面临数据异质性和高通信能耗问题。UbiComp '23Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks
helpResearch question指标理解与分析解释支持面对不同观点时,哪种行为和生理指标能够指示认知偏差的发生?CHI '23Bias-Aware Systems: Exploring Indicators for the Occurrences of Cognitive Biases when Facing Different Opinions
helpResearch question指标理解与分析解释支持兴趣和熟悉度如何调节个人在处理与其观点一致或相悖的信息时的认知偏差?CHI '23Bias-Aware Systems: Exploring Indicators for the Occurrences of Cognitive Biases when Facing Different Opinions
helpResearch question指标理解与分析解释支持使用多模态数据(互动行为+生理数据)能多大程度改善认知偏差的量化能力?CHI '23Bias-Aware Systems: Exploring Indicators for the Occurrences of Cognitive Biases when Facing Different Opinions
lightbulbPractical problem指标理解与分析解释支持用户在评估信息时常受认知偏差影响,容易落入错误决策。CHI '23Bias-Aware Systems: Exploring Indicators for the Occurrences of Cognitive Biases when Facing Different Opinions
helpResearch question指标理解与分析解释支持帧率波动如何影响游戏玩家的体验质量(QoE)?CHI '23Smooth as - The Effects of Frame Rate Variation on Game Player Quality of Experience
helpResearch question指标理解与分析解释支持相较于平均帧率,帧时间标准差和帧率下限是否是更有效的QoE预测指标?CHI '23Smooth as - The Effects of Frame Rate Variation on Game Player Quality of Experience
helpResearch question指标理解与分析解释支持帧率波动对不同类型游戏的玩家体验是否产生不同影响?CHI '23Smooth as - The Effects of Frame Rate Variation on Game Player Quality of Experience
lightbulbPractical problem指标理解与分析解释支持游戏画面卡顿和控制延迟降低了玩家的体验和投入感。CHI '23Smooth as - The Effects of Frame Rate Variation on Game Player Quality of Experience
helpResearch question指标理解与分析解释支持TikTok的平台基础设施如何影响创作者的创作意图和行为?CHI '23Rethinking Creative Labor: A Sociotechnical Examination of Creativity & Creative Work on TikTok
helpResearch question指标理解与分析解释支持平台的可见性指标(如点赞、播放次数)是否支持小规模创作者的非商业化目标?CHI '23Rethinking Creative Labor: A Sociotechnical Examination of Creativity & Creative Work on TikTok
helpResearch question指标理解与分析解释支持TikTok的算法、工具和内容审核如何导致创作者与观众、作品以及自我的疏离?CHI '23Rethinking Creative Labor: A Sociotechnical Examination of Creativity & Creative Work on TikTok
lightbulbPractical problem指标理解与分析解释支持小规模创作者在TikTok上创作时常感到平台工具和算法限制了表达自由。CHI '23Rethinking Creative Labor: A Sociotechnical Examination of Creativity & Creative Work on TikTok
helpResearch question指标理解与分析解释支持在工作场景下,自动情感识别(AER)技术检测的表情与用户自我报告的情感之间如何匹配?CHI '22"I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work
helpResearch question指标理解与分析解释支持如何通过纳入工作环境上下文改善AER的情感识别准确性?CHI '22"I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work
helpResearch question指标理解与分析解释支持“情感峰值”和“基线情感”新指标是否能反映更细致的情感变化?CHI '22"I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work
lightbulbPractical problem指标理解与分析解释支持员工的面部情绪表达与自感情绪不符,影响团队沟通与自我情绪管理。CHI '22"I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work
helpResearch question指标理解与分析解释支持用户如何感知不同类型的分类错误对系统准确性的影响?CHI '22How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes
helpResearch question指标理解与分析解释支持分类任务的难度如何影响用户对系统性能的主观评价?CHI '22How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes
helpResearch question指标理解与分析解释支持传统准确性指标为何无法充分反映用户感知的分类性能?CHI '22How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes
helpResearch question指标理解与分析解释支持质性研究中,如何利用副数据(paradata)来提升研究过程的透明性?CHI '22Exploring the Role of Paradata in Digitally Supported Qualitative Co-Research
helpResearch question指标理解与分析解释支持副数据在支持参与式质性研究的数据共享和验证中能起到哪些作用?CHI '22Exploring the Role of Paradata in Digitally Supported Qualitative Co-Research
helpResearch question指标理解与分析解释支持能设计出哪些具体的副数据指标来帮助提高质性研究的可信度?CHI '22Exploring the Role of Paradata in Digitally Supported Qualitative Co-Research
lightbulbPractical problem指标理解与分析解释支持质性研究缺乏过程透明性,参与者和利益相关方难以信任研究结果。CHI '22Exploring the Role of Paradata in Digitally Supported Qualitative Co-Research
helpResearch question指标理解与分析解释支持人类移动模型在异质用例中的通用性如何验证?UbiComp '21Mover: Generalizability Verification of Human Mobility Models via Heterogeneous Use Cases
helpResearch question指标理解与分析解释支持五种典型移动模型在不同空间粒度和时间连续性场景中的性能表现如何?UbiComp '21Mover: Generalizability Verification of Human Mobility Models via Heterogeneous Use Cases
helpResearch question指标理解与分析解释支持集体级与个体级的移动模型特性指标在应用中存在哪些系统性差异?UbiComp '21Mover: Generalizability Verification of Human Mobility Models via Heterogeneous Use Cases
lightbulbPractical problem指标理解与分析解释支持城市规划和疫情控制等场景下,难以选择适配的移动模型。UbiComp '21Mover: Generalizability Verification of Human Mobility Models via Heterogeneous Use Cases
helpResearch question指标理解与分析解释支持老年用户的发声特征和语言模式如何揭示用户体验问题?CHI '21Older Adults' Think-Aloud Verbalizations and Speech Features for Identifying User Experience Problems
helpResearch question指标理解与分析解释支持老年用户与年轻用户在语言和发声特征上是否存在显著差异?CHI '21Older Adults' Think-Aloud Verbalizations and Speech Features for Identifying User Experience Problems
helpResearch question指标理解与分析解释支持哪些观测相关语言和情感强化指标与用户体验问题的关联性最强?CHI '21Older Adults' Think-Aloud Verbalizations and Speech Features for Identifying User Experience Problems
lightbulbPractical problem指标理解与分析解释支持老年人在使用科技产品时,难以有效表达体验问题。CHI '21Older Adults' Think-Aloud Verbalizations and Speech Features for Identifying User Experience Problems
helpResearch question指标理解与分析解释支持游戏中的奖励和付出如何影响玩家的注意力分配与任务切换行为?CHI '21Flow Encourages Task Focus, but Frustration Drives Task Switching: How Reward and Effort Combine to Influence Player Engagement in a Simple Video Game
helpResearch question指标理解与分析解释支持平衡奖励与付出能否有效诱发玩家的沉浸体验(Flow状态)?CHI '21Flow Encourages Task Focus, but Frustration Drives Task Switching: How Reward and Effort Combine to Influence Player Engagement in a Simple Video Game
helpResearch question指标理解与分析解释支持任务切换行为能否作为高认知负载环境下玩家状态的指标?CHI '21Flow Encourages Task Focus, but Frustration Drives Task Switching: How Reward and Effort Combine to Influence Player Engagement in a Simple Video Game
lightbulbPractical problem指标理解与分析解释支持玩家在高认知负载的复杂游戏中容易分心或退出。CHI '21Flow Encourages Task Focus, but Frustration Drives Task Switching: How Reward and Effort Combine to Influence Player Engagement in a Simple Video Game
helpResearch question指标理解与分析解释支持如何通过交互式重建任务量化生成模型的可解释性?CHI '21Evaluating the Interpretability of Generative Models by Interactive Reconstruction
helpResearch question指标理解与分析解释支持用户能够通过调整潜在维度有效理解生成模型表示并成功重建目标样本吗?CHI '21Evaluating the Interpretability of Generative Models by Interactive Reconstruction
helpResearch question指标理解与分析解释支持生成模型的解耦指标与基于用户评估的可解释性之间存在怎样的关系?CHI '21Evaluating the Interpretability of Generative Models by Interactive Reconstruction