81 citations · 389 across the 17 of their papers we have counts for
14 papers · 1 filter
Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data Visualizations
Hamza Elhamdadi, Adam Stefkovics, Johanna Beyer +3
Trust is an essential aspect of data visualization, as it plays a crucial role in the interpretation and decision-making processes of users. While research in social sciences outli…
VIRD: Immersive Match Video Analysis for High-Performance Badminton Coaching
Tica Lin, Alexandre Aouididi, Zhutian Chen +3
Badminton is a fast-paced sport that requires a strategic combination of spatial, temporal, and technical tactics. To gain a competitive edge at high-level competitions, badminton…
RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios
Chen Zhu-Tian, Daniele Chiappalupi, Tica Lin +3
Labels are widely used in augmented reality (AR) to display digital information. Ensuring the readability of AR labels requires placing them occlusion-free while keeping visual lin…
Beyond Generating Code: Evaluating GPT on a Data Visualization Course
Chen Zhu-Tian, Chenyang Zhang, Qianwen Wang +5
This paper presents an empirical evaluation of the performance of the Generative Pre-trained Transformer (GPT) model in Harvard's CS171 data visualization course. While previous st…
iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations
Chen Zhu-Tian, Qisen Yang, Jiarui Shan +4
We present iBall, a basketball video-watching system that leverages gaze-moderated embedded visualizations to facilitate game understanding and engagement of casual fans. Video bro…
The Ball is in Our Court: Conducting Visualization Research with Sports Experts
Tica Lin, Zhutian Chen, Johanna Beyer +3
Most sports visualizations rely on a combination of spatial, highly temporal, and user-centric data, making sports a challenging target for visualization. Emerging technologies, su…
Sporthesia: Augmenting Sports Videos Using Natural Language
Chen Zhu-Tian, Qisen Yang, Xiao Xie +4
Augmented sports videos, which combine visualizations and video effects to present data in actual scenes, can communicate insights engagingly and thus have been increasingly popula…
The Quest for Omnioculars: Embedded Visualization for Augmenting Basketball Game Viewing Experiences
Tica Lin, Zhutian Chen, Yalong Yang +3
Sports game data is becoming increasingly complex, often consisting of multivariate data such as player performance stats, historical team records, and athletes' positional trackin…
Labeling Out-of-View Objects in Immersive Analytics to Support Situated Visual Searching
Tica Lin, Yalong Yang, Johanna Beyer +1
Augmented Reality (AR) embeds digital information into objects of the physical world. Data can be shown in-situ, thereby enabling real-time visual comparisons and object search in…
Visualization Design Sprints for Online and On-Campus Courses
Johanna Beyer, Yalong Yang, Hanspeter Pfister
We present how to integrate Design Sprints and project-based learning into introductory visualization courses. A design sprint is a unique process based on rapid prototyping and us…
Towards an Understanding of Situated AR Visualization for Basketball Free-Throw Training
Tica Lin, Rishi Singh, Yalong Yang +4
We present an observational study to compare co-located and situated real-time visualizations in basketball free-throw training. Our goal is to understand the advantages and concer…
Embodied Navigation in Immersive Abstract Data Visualization: Is Overview+Detail or Zooming Better for 3D Scatterplots?
Yalong Yang, Maxime Cordeil, Johanna Beyer +3
Abstract data has no natural scale and so interactive data visualizations must provide techniques to allow the user to choose their viewpoint and scale. Such techniques are well es…
SportsXR -- Immersive Analytics in Sports
Tica Lin, Yalong Yang, Johanna Beyer +1
We present our initial investigation of key challenges and potentials of immersive analytics (IA) in sports, which we call SportsXR. Sports are usually highly dynamic and collabora…
SAX Navigator: Time Series Exploration through Hierarchical Clustering
Nicholas Ruta, Naoko Sawada, Katy McKeough +2
Comparing many long time series is challenging to do by hand. Clustering time series enables data analysts to discover relevance between and anomalies among multiple time series. H…