Direction: Sensing, Recognition, and Prediction Methods

Predictive Modeling, Behavior Inference, and Trend Estimation Methods

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helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can multimodal information (text, audio, video) improve dialogue act classification performance?

CUI '24Multimodal Dialog Act Classification for Conversations With Digital Characters

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How does cross-modal attention enhance multimodal data performance in dialogue act classification?

CUI '24Multimodal Dialog Act Classification for Conversations With Digital Characters

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Can real-time dialogue act prediction be achieved through multimodal data?

CUI '24Multimodal Dialog Act Classification for Conversations With Digital Characters

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can COTS WiFi devices simultaneously identify and image liquids and containers?

UbiComp '24LiquImager: Fine-grained Liquid Identification and Container Imaging System with COTS WiFi Devices

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can electromagnetic scattering models compensate for precise modeling gaps of centimeter-scale container effects on signals?

UbiComp '24LiquImager: Fine-grained Liquid Identification and Container Imaging System with COTS WiFi Devices

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Can combining deep learning with physical modeling improve accuracy and robustness of liquid identification and container imaging?

UbiComp '24LiquImager: Fine-grained Liquid Identification and Container Imaging System with COTS WiFi Devices

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How temporally dependent are self-reported stress data?

UbiComp '24Unraveling Temporal Dependencies in Stress: Insights from Self-Reported Stress Data

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How does time lag affect correlations between stress levels?

UbiComp '24Unraveling Temporal Dependencies in Stress: Insights from Self-Reported Stress Data

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Do stress temporal dependencies differ significantly across contexts (e.g., campus vs. workplace)?

UbiComp '24Unraveling Temporal Dependencies in Stress: Insights from Self-Reported Stress Data

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can asynchronous personalized federated learning effectively address data and compute heterogeneity across mobile devices?

UbiComp '24EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can model staleness be controlled in asynchronous federated learning to ensure slow devices participate?

UbiComp '24EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can dynamic clustering and optimized broadcast frequency improve efficiency and accuracy of mobile federated learning?

UbiComp '24EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can machine learning predict early user churn in publicly available subscription-based weight-loss apps?

CHI '24Predicting early user churn in a public digital weight loss intervention

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Which features are most critical in early churn prediction?

CHI '24Predicting early user churn in a public digital weight loss intervention

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Based on churn prediction, which strategies can effectively re-engage churned users?

CHI '24Predicting early user churn in a public digital weight loss intervention

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can LSTM and SARIMA combined models improve short-term power consumption prediction accuracy in data centers?

UbiComp '23LSTM Based Short-Term Data Center Electrical Consumption Forecasting

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Which time window lengths and feature combinations are best suited for short-term data center power consumption prediction?

UbiComp '23LSTM Based Short-Term Data Center Electrical Consumption Forecasting

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How do hybrid models compare to traditional statistical and deep learning models across different datasets?

UbiComp '23LSTM Based Short-Term Data Center Electrical Consumption Forecasting

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How does multimodal prompt optimization affect model performance and data consistency in federated learning?

UbiComp '23Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Can combining visual and text modalities effectively alleviate data heterogeneity in federated learning?

UbiComp '23Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can contrastive learning enhance clients' ability to acquire knowledge from global models?

UbiComp '23Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can high-quality 3D human meshes be constructed by fusing millimeter-wave signals and image information?

UbiComp '23MI-Mesh: 3D Human Mesh Construction by Fusing Image and Millimeter Wave

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

In multimodal fusion, how can heterogeneity between mmWave point clouds and images be addressed?

UbiComp '23MI-Mesh: 3D Human Mesh Construction by Fusing Image and Millimeter Wave

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can 3D human mesh construction models be made more robust at night or under low-light conditions?

UbiComp '23MI-Mesh: 3D Human Mesh Construction by Fusing Image and Millimeter Wave

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can the timing and magnitude of daily electricity demand peaks in internet data centers (IDC) be accurately predicted?

UbiComp '23Data Center Peak Electrical Demand Forecasting: A Multi-Feature SARIMA-LSTM Model

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Can a SARIMA and LSTM hybrid model effectively combine their strengths to improve IDC load prediction accuracy?

UbiComp '23Data Center Peak Electrical Demand Forecasting: A Multi-Feature SARIMA-LSTM Model

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Can introducing environmental data and time-related features significantly improve electricity demand prediction accuracy?

UbiComp '23Data Center Peak Electrical Demand Forecasting: A Multi-Feature SARIMA-LSTM Model

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can deep neural networks perform inverse modeling to rapidly infer parameters of complex user simulation models?

CHI '23Amortized Inference with User Simulations

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

In inverse modeling from user behavior data, can amortized inference match traditional methods' prediction accuracy while significantly reducing computation time?

CHI '23Amortized Inference with User Simulations

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How does amortized inference perform across user behavior models of varying complexity?

CHI '23Amortized Inference with User Simulations

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Can classifiers trained solely on synthetic data generated by GPT-3 perform well on test sets?

CUI '22Do We Still Need Human Assessors? Prompt-Based GPT-3 User Simulation in Conversational AI

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

What structural and semantic differences exist between synthetic data and user data?

CUI '22Do We Still Need Human Assessors? Prompt-Based GPT-3 User Simulation in Conversational AI

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

In WiFi sensing, what is the specific impact of transmitter-receiver distance on sensing coverage?

UbiComp '22Placement Matters: Understanding the Effects of Device Placement for WiFi Sensing

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can mathematical modeling and experimental validation optimize transmitter and receiver placement to improve WiFi sensing performance?

UbiComp '22Placement Matters: Understanding the Effects of Device Placement for WiFi Sensing

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can sensing signal-to-noise ratio (SSNR) quantify the sensing capability of WiFi systems?

UbiComp '22Placement Matters: Understanding the Effects of Device Placement for WiFi Sensing

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

What is the effect of individualized aerobic exercise intensity on memory, such as English vocabulary learning?

UbiComp '22Just the Right Amount of Exercise: Aerobic Exercise and Memory

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Which physiological parameters can predict which individuals benefit most from combining aerobic exercise with learning?

UbiComp '22Just the Right Amount of Exercise: Aerobic Exercise and Memory

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Does the memory-enhancing effect of aerobic exercise diminish over time?

UbiComp '22Just the Right Amount of Exercise: Aerobic Exercise and Memory

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can domain knowledge and data relationships be integrated into statistical model design?

CHI '22Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can a semi-automated system improve beginners' ability to use generalized linear models (GLM) and generalized linear mixed-effects models (GLMM)?

CHI '22Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can interactive tools reduce logical errors and ambiguity in statistical modeling?

CHI '22Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can strategy modulation reduce computational costs of inverse parameter inference in user behavior simulation models?

CHI '22Speeding up Inference with User Simulators through Policy Modulation

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Can strategy modulation adapt to different model parameters without re-optimization while maintaining performance?

CHI '22Speeding up Inference with User Simulators through Policy Modulation

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can users' cognitive parameters (e.g., visual perception noise, click precision) and reward weights be efficiently inferred?

CHI '22Speeding up Inference with User Simulators through Policy Modulation

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can finger movement direction be incorporated into touch-point distribution prediction models?

UIST '21Modeling Touch Point Distribution with Rotational Dual Gaussian Model

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Does incorporating finger movement direction improve touch-point distribution prediction compared to traditional models?

UIST '21Modeling Touch Point Distribution with Rotational Dual Gaussian Model

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How does a rotated bivariate Gaussian model perform in smartwatch or mobile soft keyboard decoding tasks?

UIST '21Modeling Touch Point Distribution with Rotational Dual Gaussian Model

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How do malicious data poisoning attacks affect federated learning-based power load forecasting performance?

UbiComp '21On the Performance Impact of Poisoning Attacks on Load Forecasting in Federated Learning

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How much do different types of poisoning attacks (sign-flipping and additive noise attacks) impact load forecasting accuracy?

UbiComp '21On the Performance Impact of Poisoning Attacks on Load Forecasting in Federated Learning

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

What is the relationship between attack intensity, number of malicious clients, and prediction model error?

UbiComp '21On the Performance Impact of Poisoning Attacks on Load Forecasting in Federated Learning

Adjacent categories

Sensing, Recognition, and Prediction Methods

Predictive Modeling, Behavior Inference, and Trend Estimation Methods

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Related papers

LiquImager: Fine-grained Liquid Identification and Container Imaging System with COTS WiFi Devices

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control

Predicting early user churn in a public digital weight loss intervention

Amortized Inference with User Simulations

Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships

Speeding up Inference with User Simulators through Policy Modulation

Modeling Touch Point Distribution with Rotational Dual Gaussian Model

Adjacent categories

Spatial Localization, Trajectory Recovery, and Location Signal Methods

Wireless Signal Gesture and Pose Sensing

Activity Recognition, Segmentation, and Identity Discrimination Methods

Interaction Performance and Human Movement Prediction Models

WiFi Fingerprinting and Indoor Localization

Mobile Sensing and User Behavior Prediction Modeling

Affect, Emotion, and Mental Health State Inference

Environmental Detection, Quality Monitoring, and Anomaly Identification Methods