lightbulb现实痛点数据工具采用、分析界面与信息组织支持用户在探索新领域时常常难以构造有效查询,影响知识获取。CHI '21CoNotate: Suggesting Queries Based on Notes Promotes Knowledge Discovery
lightbulb现实痛点数据工具采用、分析界面与信息组织支持用户即使有备份,仍可能因失败备份而无法恢复数据。CHI '25Achieving Resilience: Data Loss and Recovery on Devices for Personal Use in Three Countries
lightbulb现实痛点数据工具采用、分析界面与信息组织支持用户难以高效地将复杂“杂乱”表格转换为可分析的规范化表格。CHI '25TableCanoniser: Interactive Grammar-Powered Transformation of Messy, Non-Relational Tables to Canonical Tables
lightbulb现实痛点数据工具采用、分析界面与信息组织支持在自然环境中,准确识别细微情绪十分困难。UbiComp '24A Feature-Based Approach for Subtle Emotion Recognition in Realistic Scenarios
lightbulb现实痛点数据工具采用、分析界面与信息组织支持EEG分类方法难以准确识别用户情绪和偏好。UbiComp '24GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network
lightbulb现实痛点数据工具采用、分析界面与信息组织支持Y轴截断可能误导用户感知,但对任务准确性的影响尚不明确。CHI '24To Cut or Not To Cut? A Systematic Exploration of Y-Axis Truncation
lightbulb现实痛点数据工具采用、分析界面与信息组织支持情绪研究参与者常中途退出,导致数据缺失和模型性能下降。CHI '24Towards Estimating Missing Emotion Self-reports Leveraging User Similarity: A Multi-task Learning Approach