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

Can methods based on visual saliency prediction and time-series models improve accuracy of notification design?

Similar questions

Related papers

IUI 2025

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

Josef Suschnigg, Belgin Mutlu, Matthias Burgholzer

4 items
CHI 2025

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

Maxim Lisnic, Zach Cutler, Marina Kogan

4 items
CHI 2025

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

Venkatesh Sivaraman, Anika Vaishampayan, Xiaotong Li

4 items
IUI 2024

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

Alexander Bendeck, Dennis Bromley, Vidya Setlur

4 items
UbiComp 2024

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

Mark Colley, Sebastian Hartwig, Albin Zeqiri

4 items
CHI 2024

iPose: Interactive Human Pose Reconstruction from Video

Jingyuan Liu, Li-Yi Wei, Ariel Shamir

4 items
CHI 2024

Predicting the Noticeability of Dynamic Virtual Elements in Virtual Reality

Zhipeng Li, Yi Fei Cheng, Yukang Yan

4 items
UIST 2023

Learning Custom Experience Ontologies via Embedding-based Feedback Loops

Ali Zaidi, Kelsey Turbeville, Kristijan Ivančić

4 items
IUI 2022

Robust and Deployable Gesture Recognition for Smartwatches

Utkarsh Kunwar, Sheetal Borar, Moritz Berghofer

4 items
UIST 2022

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

Naveen Sendhilnathan, Ting Zhang, Ben Lafreniere

4 items
CHI 2022

Supporting Accessible Data Visualization Through Audio Data Narratives

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

4 items
CHI 2021

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

Ke Xu, Jun Yuan, Yifang Wang

4 items