help研究问题手势姿态感知模型性能与准确性通过仿生三层“胡须”弹性体设计,能否提升动态触觉感知的性能?UbiComp '23WSTac: Interactive Surface Perception based on Whisker-Inspired and Self-Illuminated Vision-Based Tactile Sensor
lightbulb现实痛点手势姿态感知模型性能与准确性传统视觉触觉传感器易受环境光干扰,能耗高,系统复杂。UbiComp '23WSTac: Interactive Surface Perception based on Whisker-Inspired and Self-Illuminated Vision-Based Tactile Sensor
help研究问题手势姿态感知模型性能与准确性在多人协作中,如何确保差分隐私和联邦学习能够满足用户多样的隐私需求?UbiComp '23Private, Fair and Secure Collaborative Learning Framework for Human Activity Recognition
help研究问题手势姿态感知模型性能与准确性如何在联邦学习中避免将要求严格隐私的诚实用户视为恶意攻击者,从而保证公平性?UbiComp '23Private, Fair and Secure Collaborative Learning Framework for Human Activity Recognition
help研究问题手势姿态感知模型性能与准确性在联邦学习中,能否通过某种机制有效筛选恶意用户,确保全局模型的安全性和性能?UbiComp '23Private, Fair and Secure Collaborative Learning Framework for Human Activity Recognition
lightbulb现实痛点手势姿态感知模型性能与准确性用户在使用智能可穿戴设备时,隐私和数据易泄露或被攻击。UbiComp '23Private, Fair and Secure Collaborative Learning Framework for Human Activity Recognition
help研究问题手势姿态感知模型性能与准确性如何设计和制作能够直接集成到3D打印旋转机制中的电容传感器?CHI '23MechSense: A Design and Fabrication Pipeline for Integrating Rotary Encoders into 3D Printed Mechanisms
help研究问题手势姿态感知模型性能与准确性基于浮动电容的传感器设计能否在旋转机械部件中实现高效的角度检测?CHI '23MechSense: A Design and Fabrication Pipeline for Integrating Rotary Encoders into 3D Printed Mechanisms
help研究问题手势姿态感知模型性能与准确性多材料3D打印技术如何帮助实现传感器与机械结构的一体化打印?CHI '23MechSense: A Design and Fabrication Pipeline for Integrating Rotary Encoders into 3D Printed Mechanisms
lightbulb现实痛点手势姿态感知模型性能与准确性3D打印旋转机制中传感器的集成通常需要复杂装配和外部连接。CHI '23MechSense: A Design and Fabrication Pipeline for Integrating Rotary Encoders into 3D Printed Mechanisms
help研究问题手势姿态感知模型性能与准确性如何减轻非技术背景研究者在设计复杂用户互动研究时的技术负担?CHI '23QButterfly: Lightweight Survey Extension for Online User-Interaction Studies for Non-Tech-Savvy Researchers
help研究问题手势姿态感知模型性能与准确性基于主流调查平台(如Qualtrics和LimeSurvey),能否实现无需编程的用户行为数据采集?CHI '23QButterfly: Lightweight Survey Extension for Online User-Interaction Studies for Non-Tech-Savvy Researchers
help研究问题手势姿态感知模型性能与准确性非技术背景的研究者使用QButterfly能否可靠地完成用户行为追踪与数据分析?CHI '23QButterfly: Lightweight Survey Extension for Online User-Interaction Studies for Non-Tech-Savvy Researchers
lightbulb现实痛点手势姿态感知模型性能与准确性非技术背景研究者在设计用户实验时需要编程技能,难度大。CHI '23QButterfly: Lightweight Survey Extension for Online User-Interaction Studies for Non-Tech-Savvy Researchers
help研究问题手势姿态感知模型性能与准确性如何通过与社区共同设计的方法,在VR中实现对狩猎相关手势的自然交互?CHI '23Grab It, While You Can: A VR Gesture Evaluation of a Co-Designed Traditional Narrative by Indigenous People
help研究问题手势姿态感知模型性能与准确性在全球南方(如Namibia)的非WEIRD社区中,如何验证手势交互的真实性和适用性?CHI '23Grab It, While You Can: A VR Gesture Evaluation of a Co-Designed Traditional Narrative by Indigenous People
help研究问题手势姿态感知模型性能与准确性哪些与狩猎相关的传统手势在VR文化叙事中能够提升用户的沉浸感和文化真实性?CHI '23Grab It, While You Can: A VR Gesture Evaluation of a Co-Designed Traditional Narrative by Indigenous People
lightbulb现实痛点手势姿态感知模型性能与准确性土著社区面临文化遗产失传的风险,且现有手势设计无法融入现实应用。CHI '23Grab It, While You Can: A VR Gesture Evaluation of a Co-Designed Traditional Narrative by Indigenous People
help研究问题手势姿态感知模型性能与准确性如何在不改变材料触感和外观的情况下,将触摸感知嵌入到各种日常表面中?UbiComp '22Sensurfaces: A Novel Approach for Embedded Touch Sensing on Everyday Surfaces
help研究问题手势姿态感知模型性能与准确性哪些技术可以实现一种兼容多种材料,模块化且可扩展的触摸感知系统?UbiComp '22Sensurfaces: A Novel Approach for Embedded Touch Sensing on Everyday Surfaces
help研究问题手势姿态感知模型性能与准确性Sensurfaces平台如何在不同材料和应用场景中表现出可靠的信号性能和用户体验?UbiComp '22Sensurfaces: A Novel Approach for Embedded Touch Sensing on Everyday Surfaces
lightbulb现实痛点手势姿态感知模型性能与准确性日常表面无法实现非侵入式触摸感知功能。UbiComp '22Sensurfaces: A Novel Approach for Embedded Touch Sensing on Everyday Surfaces
help研究问题手势姿态感知模型性能与准确性不同类型的半自动膳食监控传感器(如手腕、面部)的用户接受度和感知负担如何变化?UbiComp '22Understanding People’s Perceptions of Approaches to Semi-Automated Dietary Monitoring
help研究问题手势姿态感知模型性能与准确性用户在提示内容(如食物类型、图像、音频)和提示时机(如用餐后)上的偏好是怎样的?UbiComp '22Understanding People’s Perceptions of Approaches to Semi-Automated Dietary Monitoring
help研究问题手势姿态感知模型性能与准确性传感器的大小、位置和检测模式如何影响用户的身体、社交和隐私负担?UbiComp '22Understanding People’s Perceptions of Approaches to Semi-Automated Dietary Monitoring
lightbulb现实痛点手势姿态感知模型性能与准确性用户厌倦了繁琐的手动记录饮食方式,但自动化监控设备隐私问题严重。UbiComp '22Understanding People’s Perceptions of Approaches to Semi-Automated Dietary Monitoring
help研究问题手势姿态感知模型性能与准确性如何解决联邦学习中由于网络条件差导致的用户设备被排除的问题?UbiComp '22Are You Left Out? An Efficient and Fair Federated Learning for Personalized Profiles on Wearable Devices of Inferior Networking Conditions
help研究问题手势姿态感知模型性能与准确性怎样优化联邦学习中的通信效率和公平性,尤其是在可穿戴设备中?UbiComp '22Are You Left Out? An Efficient and Fair Federated Learning for Personalized Profiles on Wearable Devices of Inferior Networking Conditions
help研究问题手势姿态感知模型性能与准确性能否通过用户参与提升联邦学习框架的个性化和用户体验?UbiComp '22Are You Left Out? An Efficient and Fair Federated Learning for Personalized Profiles on Wearable Devices of Inferior Networking Conditions
lightbulb现实痛点手势姿态感知模型性能与准确性网络差的设备在联邦学习中常被排除,用户无法享受个性化服务。UbiComp '22Are You Left Out? An Efficient and Fair Federated Learning for Personalized Profiles on Wearable Devices of Inferior Networking Conditions
help研究问题手势姿态感知模型性能与准确性如何设计一个可附加到普通眼镜框架上的装置,用于高效、准确、且具社会接受性的饮食监控?CHI '22MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame
help研究问题手势姿态感知模型性能与准确性通过哪些多模态传感器和算法可以优化咀嚼信号的识别和分类?CHI '22MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame
help研究问题手势姿态感知模型性能与准确性如何在低功耗硬件上实现实时饮食监控,同时提高电池续航能力?CHI '22MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame
lightbulb现实痛点手势姿态感知模型性能与准确性用户常因手动记录饮食繁琐或现有设备不便而放弃监控饮食。CHI '22MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame
help研究问题手势姿态感知模型性能与准确性如何通过体验采样法与传感数据结合,实时检测Instagram用户的负面情绪?CHI '22Sad or just jealous? Using Experience Sampling to Understand and Detect Negative Affective Experiences on Instagram
help研究问题手势姿态感知模型性能与准确性在Instagram使用中,哪些负面情绪(如外貌比较和嫉妒)最为常见?CHI '22Sad or just jealous? Using Experience Sampling to Understand and Detect Negative Affective Experiences on Instagram
help研究问题手势姿态感知模型性能与准确性智能手机传感器数据能否有效区分和分类用户的不同负面情绪?CHI '22Sad or just jealous? Using Experience Sampling to Understand and Detect Negative Affective Experiences on Instagram
lightbulb现实痛点手势姿态感知模型性能与准确性用户在Instagram上容易因外貌比较或嫉妒产生负面情绪,影响心理健康。CHI '22Sad or just jealous? Using Experience Sampling to Understand and Detect Negative Affective Experiences on Instagram
help研究问题手势姿态感知模型性能与准确性如何设计一种不需要预先注册物品的穿戴式系统,用于帮助用户找到丢失物品?IUI '21GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery
help研究问题手势姿态感知模型性能与准确性基于手持物体的自动检测技术,如何实现高效、直观的目标物定位?IUI '21GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery
help研究问题手势姿态感知模型性能与准确性如何改进已有物品追踪技术的局限性,提高用户的找物效率?IUI '21GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery
lightbulb现实痛点手势姿态感知模型性能与准确性用户找不到丢失物品且浪费大量时间。IUI '21GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery
help研究问题手势姿态感知模型性能与准确性如何通过统一数据集和评估框架来公平比较多种手势生成方法的性能?IUI '21A large, crowdsourced evaluation of gesture generation systems on common data: The GENEA Challenge 2020
help研究问题手势姿态感知模型性能与准确性当前的手势生成模型如何在“拟人性”和“语言匹配性”指标上表现?IUI '21A large, crowdsourced evaluation of gesture generation systems on common data: The GENEA Challenge 2020
help研究问题手势姿态感知模型性能与准确性手势生成模型与人类自然手势相比存在哪些差距,如何改进?IUI '21A large, crowdsourced evaluation of gesture generation systems on common data: The GENEA Challenge 2020
lightbulb现实痛点手势姿态感知模型性能与准确性现有的手势生成技术难以为虚拟助手提供自然的交互功能。IUI '21A large, crowdsourced evaluation of gesture generation systems on common data: The GENEA Challenge 2020
help研究问题手势姿态感知模型性能与准确性如何通过智能手机传感器数据和自我报告推断大学生的食品摄取水平?UbiComp '21One More Bite? Inferring Food Consumption Level of College Students Using Smartphone Sensing and Self-Reports
help研究问题手势姿态感知模型性能与准确性智能手机被动传感能否有效减少用户手动输入负担,从而准确推断饮食行为?UbiComp '21One More Bite? Inferring Food Consumption Level of College Students Using Smartphone Sensing and Self-Reports
help研究问题手势姿态感知模型性能与准确性情境、心理和社交因素如何影响大学生的食品摄取水平?UbiComp '21One More Bite? Inferring Food Consumption Level of College Students Using Smartphone Sensing and Self-Reports
lightbulb现实痛点手势姿态感知模型性能与准确性大学生因不健康饮食习惯导致潜在的长期健康风险。UbiComp '21One More Bite? Inferring Food Consumption Level of College Students Using Smartphone Sensing and Self-Reports