HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Visualization, Analytics, and Data Understanding / Time Series Semantic Retrieval and Trend Analysis

How can combining CNNs and bidirectional LSTMs (biLSTMs) enhance human activity recognition during packaging processes?

helpResearch questionTime Series Semantic Retrieval and Trend Analysis

How can combining CNNs and bidirectional LSTMs (biLSTMs) enhance human activity recognition during packaging processes?

UbiComp '23Human activity recognition for packing processes using CNN-biLSTM

Similar questions

helpResearch questionTime Series Semantic Retrieval and Trend Analysis

How can automated algorithms combined with user guidance improve quality analysis efficiency of multidimensional time series data from welding robots?

IUI '25Cluster-Based Approach for Visual Anomaly Detection in Multivariate Welding Process Data Supported by User Guidance

helpResearch questionTime Series Semantic Retrieval and Trend Analysis

How can visualization tools help users discover anomalies and long-term trends in industrial data while reducing cognitive load?

IUI '25Cluster-Based Approach for Visual Anomaly Detection in Multivariate Welding Process Data Supported by User Guidance

helpResearch questionTime Series Semantic Retrieval and Trend Analysis

How can data analysis algorithms and visualization design be optimized for periodic characteristics in industrial environments?

IUI '25Cluster-Based Approach for Visual Anomaly Detection in Multivariate Welding Process Data Supported by User Guidance

helpResearch questionTime Series Semantic Retrieval and Trend Analysis

How can visualization guardrails reduce cherry-picking (selective information presentation) in data visualization?

CHI '25Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data Explorers

helpResearch questionTime Series Semantic Retrieval and Trend Analysis

Which guardrail design (overlay or side-by-side) is more effective at raising user vigilance against cherry-picking?

CHI '25Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data Explorers

helpResearch questionTime Series Semantic Retrieval and Trend Analysis

How does cherry-picking severity affect visualization guardrail effectiveness?

CHI '25Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data Explorers

Related papers

Cluster-Based Approach for Visual Anomaly Detection in Multivariate Welding Process Data Supported by User Guidance

Josef Suschnigg, Belgin Mutlu, Matthias Burgholzer

Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data Explorers

Maxim Lisnic, Zach Cutler, Marina Kogan

Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks

Venkatesh Sivaraman, Anika Vaishampayan, Xiaotong Li

SlopeSeeker: A Search Tool for Exploring a Dataset of Quantifiable Trends

Alexander Bendeck, Dennis Bromley, Vidya Setlur

AutoTherm: A Dataset and Benchmark for Thermal Comfort Estimation Indoors and in Vehicles

Mark Colley, Sebastian Hartwig, Albin Zeqiri

iPose: Interactive Human Pose Reconstruction from Video

Jingyuan Liu, Li-Yi Wei, Ariel Shamir

Predicting the Noticeability of Dynamic Virtual Elements in Virtual Reality

Zhipeng Li, Yi Fei Cheng, Yukang Yan

Learning Custom Experience Ontologies via Embedding-based Feedback Loops

Ali Zaidi, Kelsey Turbeville, Kristijan Ivančić

Robust and Deployable Gesture Recognition for Smartwatches

Utkarsh Kunwar, Sheetal Borar, Moritz Berghofer

Detecting Input Recognition Errors and User Errors Using Gaze Dynamics in Virtual Reality

Naveen Sendhilnathan, Ting Zhang, Ben Lafreniere

Supporting Accessible Data Visualization Through Audio Data Narratives

Alexa F. Siu, Gene S-H Kim, Sile O'Modhrain

mTSeer: Interactive Visual Exploration of Models on Multivariate Time-series Forecast

Ke Xu, Jun Yuan, Yifang Wang