DeepBreath: Breathing Exercise Assessment with a Depth CameraXie 等人开发 DeepBreath 深度摄像系统，通过分析胸腹部轮廓变化自动评估呼吸练习，为用户提供实时反馈和指导。2024WXWentao Xie et al.Vibrotactile Feedback & Skin StimulationBiosensors & Physiological MonitoringUbiComp
AquaKey: Exploiting the Randomness of the Underwater Visible Light Communication Channel for Key ExtractionZhang 等人提出 AquaKey 系统，利用水下可见光通信信道的随机性提取加密密钥，为水下网络安全通信提供新方案。2024LZLupeng Zhang et al.Passwords & AuthenticationUbiComp
XRF55: A Radio Frequency Dataset for Human Indoor Action AnalysisWang 等人构建 XRF55 射频数据集，用于室内人体动作分析研究。2024FWFei Wang et al.Human Pose & Activity RecognitionUbiComp
Evaluating the Privacy Valuation of Personal Data on SmartphonesFan 等人研究智能手机用户对个人数据隐私的价值评估问题。2024LFLihua Fan et al.Privacy Perception & Decision-MakingUbiComp
SmallMap: Low-cost Community Road Map Sensing with Uncertain Delivery BehaviorHong 等人提出 SmallMap 低成本社区道路地图感知方案，解决不确定数据交付问题。2024ZHZhiqing Hong et al.Geospatial & Map VisualizationUncertainty VisualizationUbiComp
mmArrhythmia: Contactless Arrhythmia Detection via mmWave SensingZhao 等人提出 mmArrhythmia 系统，利用毫米波雷达实现无接触式心律失常检测，无需佩戴任何传感器即可监测心脏节律异常2024LZLangcheng Zhao et al.Biosensors & Physiological MonitoringUbiComp
Beamforming for Sensing: Hybrid Beamforming based on Transmitter-Receiver Collaboration for Millimeter-Wave SensingFan 等人提出基于发射-接收协作的混合波束成形方案，用于毫米波 sensing 系统，突破传统单向通信感知限制，提升毫米波感知精度与效率2024LFLong Fan et al.Computational Methods in HCIUbiComp
RDGait: A mmWave Based Gait Recognition System for Complex Indoor Environments Using Single-chip RadarWang等人提出RDGait毫米波步态识别系统，利用单芯片雷达和优化算法在复杂室内环境中实现高精度身份验证。2024DWDequan Wang et al.Human Pose & Activity RecognitionContext-Aware ComputingUbiComp
ShuffleFL: Addressing Heterogeneity in Multi-Device Federated LearningZhu 等人提出 ShuffleFL 方法，通过创新的聚合策略解决联邦学习中设备异构性问题，提升多设备场景下的学习效率。2024RZRan Zhu et al.Computational Methods in HCIUbiComp
Push the Limit of Highly Accurate Ranging on Commercial UWB DevicesMa 等人提出针对商业 UWB 设备的高精度测距优化方案，突破现有技术极限，提升室内定位精度。2024JMJunqi Ma et al.Context-Aware ComputingUbiquitous ComputingUbiComp
Orientation-Aware 3D SLAM in Alternating Magnetic Field from PowerlinesWang 等人提出基于电力线工频交替磁场的 3D SLAM 方法，实现 Orientation-Aware 定位，解决复杂电磁环境下的导航难题。2024RWRongrong Wang et al.Context-Aware ComputingUbiComp
GrainSense: A Wireless Grain Moisture Sensing System based on Wi-Fi SignalsWang 等人开发 GrainSense 系统，利用 Wi-Fi 信号无接触测量谷物水分，实现仓储谷物湿度的实时无线监测。2024ZWZhu Wang et al.Context-Aware ComputingUbiquitous ComputingEcological Design & Green ComputingUbiComp
Embracing Distributed Acoustic Sensing in Car Cabin for Children Presence DetectionSu 等人利用分布式声学传感技术检测车内儿童存在状态，通过声学特征识别防止儿童被遗忘在车内，提升乘车安全。2024YSYuqi Su et al.In-Vehicle Haptic, Audio & Multimodal FeedbackMotion Sickness & Passenger ExperienceV2X (Vehicle-to-Everything) Communication DesignUbiComp
WiFi-CSI Difference Paradigm: Achieving Efficient Doppler Speed Estimation for Passive TrackingLi等人提出WiFi-CSI差异范式，通过分析信道状态信息的时变特性实现高效的被动目标多普勒速度估计，为低成本无线追踪系统提供新方案。2024WLWenwei Li et al.Biosensors & Physiological MonitoringContext-Aware ComputingUbiComp
UniFi: A Unified Framework for Generalizable Gesture Recognition with Wi-Fi Signals Using Consistency-guided Multi-View NetworksLiu 等人提出 UniFi 框架，利用一致性引导多视图网络实现基于 Wi-Fi 信号的通用手势识别。2024YLYan Liu et al.Hand Gesture RecognitionUbiComp
Automatic Update for Wi-Fi Fingerprinting Indoor Localization via Multi-Target Domain AdaptationWANG 等人提出基于多目标域自适应的 Wi-Fi 指纹室内定位自动更新方法，解决环境变化导致的定位精度下降问题。2023JWJIANKUN WANG et al.Ubiquitous ComputingUbiComp
RetroLens: A Human-AI Collaborative System for Multi-step Retrosynthetic Route PlanningMulti-step retrosynthetic route planning (MRRP) is the core task in synthetic chemistry, in which chemists recursively deconstruct a target molecule to find a set of reactants that make up the target. MRRP is challenging in that the search space is vast, and chemists are often lost in the process. Existing AI models can achieve automatic MRRP fast, but they only work on relatively simple targets, which leaves complex molecules under chemists' expertise. To facilitate MRRP of complex molecules, we proposed a human-AI collaborative system, RetroLens, through a participatory design process. AI can contribute by two approaches: joint action and algorithm-in-the-loop. Deconstruction steps are allocated to chemists or AI based on their capabilities and AI recommends candidate revision steps to fix problems along the way. A within-subjects study (N=18) showed that chemists who used RetroLens reported faster MRRP, broader design space exploration, higher confidence in their planning, and lower cognitive load.2023CSChuhan Shi et al.Hong Kong University of Science and TechnologyAI-Assisted Decision-Making & AutomationCHI
Modeling Motivational Interviewing Strategies on an Online Peer-to-Peer Counseling PlatformMillions of people participate in online peer-to-peer support sessions, yet there has been little prior research on systematic psychology-based evaluations of fine-grained peer-counselor behavior in relation to client satisfaction. This paper seeks to bridge this gap by mapping peer-counselor chat-messages to motivational interviewing (MI) techniques. We annotate 14,797 utterances from 734 chat conversations using 17 MI techniques and introduce four new interviewing codes such as “chit-chat” and inappropriate” to account for the unique conversational patterns observed on online platforms. We automate the process of labeling peer-counselor responses to MI techniques by fine-tuning large domain-specific language models and then use these automated measures to investigate the behavior of the peer counselors via correlational studies. Specifically, we study the impact of MI techniques on the conversation ratings to investigate the techniques that predict clients’ satisfaction with their counseling sessions. When counselors use techniques such as reflection and affirmation, clients are more satisfied. Examining volunteer counselors’ change in usage of techniques suggest that counselors learn to use more introduction and open questions as they gain experience. This work provides a deeper understanding of the use of motivational interviewing techniques on peer-to-peer counselor platforms and sheds light on how to build better training programs for volunteer counselors on online platforms.2022RSShukan Shah et al.Mental Health and Spirituality Tools; Mental Health and Spirituality ToolsCSCW
The Next Generation of Human-Drone Partnerships: Co-Designing an Emergency Response SystemThe use of semi-autonomous Unmanned Aerial Vehicles (UAV) to support emergency response scenarios, such as fire surveillance and search and rescue, offers the potential for huge societal benefits. However, designing an effective solution in this complex domain represents a "wicked design" problem, requiring a careful balance between trade-offs associated with drone autonomy versus human control, mission functionality versus safety, and the diverse needs of different stakeholders. This paper focuses on designing for situational awareness (SA) using a scenario-driven, participatory design process. We developed SA cards describing six common design-problems, known as SA demons, and three new demons of importance to our domain. We then used these SA cards to equip domain experts with SA knowledge so that they could more fully engage in the design process. We designed a potentially reusable solution for achieving SA in multi-stakeholder, multi-UAV, emergency response applications.2020AAAnkit Agrawal et al.University of Notre DameTeleoperation & TelepresenceParticipatory DesignCHI