help研究问题移动传感与用户行为预测建模深度学习模型如何改善第一代大学生心理健康预测的精度并解决样本偏差问题?UbiComp '22First-Gen Lens: Assessing Mental Health of First-Generation Students across Their First Year at College Using Mobile Sensing
help研究问题移动传感与用户行为预测建模如何在语言和文化边界上,开发和验证一种多维度的技术亲和力(Technology Affinity)测量工具?CHI '25The TAEG Questionnaire: Assessing Individual Affinity for Technology Across Different Countries
help研究问题移动传感与用户行为预测建模技术亲和力的四个维度(技术热情、技术能力、自我评估、技术正面和负面影响)如何受到年龄、性别和国家的影响?CHI '25The TAEG Questionnaire: Assessing Individual Affinity for Technology Across Different Countries
help研究问题移动传感与用户行为预测建模多语言版本的TAEG问卷能否有效预测个人的技术使用时间和经验水平?CHI '25The TAEG Questionnaire: Assessing Individual Affinity for Technology Across Different Countries
help研究问题移动传感与用户行为预测建模能否通过整合已安装应用数据和上下文信息改善用户行为预测的性能?UbiComp '24MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings
help研究问题移动传感与用户行为预测建模如何利用大语言模型(LLMs)自动生成移动传感策略以支持人类行为建模?UbiComp '24Leveraging Large Language Models for Generating Mobile Sensing Strategies in Human Behavior Modeling
help研究问题移动传感与用户行为预测建模大语言模型能否通过多粒度的行为表示机制提升移动传感策略生成的效率和通用性?UbiComp '24Leveraging Large Language Models for Generating Mobile Sensing Strategies in Human Behavior Modeling