# iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations

arXiv: https://arxiv.org/abs/2303.03476 · HTML: https://mlsanity.com/paper/2303.03476/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Mar 2023.

## Built on by (most cited first, 6 of 6)

- [Foundation Models Meet Visualizations: Challenges and Opportunities](https://mlsanity.com/paper/2310.05771/) (2023)
- [Satori: Towards Proactive AR Assistant with Belief-Desire-Intention User Modeling](https://mlsanity.com/paper/2410.16668/) (2024)
- [A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision](https://mlsanity.com/paper/2307.03353/) (2023)
- [Improving Human Verification of LLM Reasoning through Interactive Explanation Interfaces](https://mlsanity.com/paper/2510.22922/) (2025)
- [Reality Proxy: Fluid Interactions with Real-World Objects in MR via Abstract Representations](https://mlsanity.com/paper/2507.17248/) (2025)
- [BadminSense: Enabling Fine-Grained Badminton Stroke Evaluation on a Single Smartwatch](https://mlsanity.com/paper/2603.21825/) (2026)

## Abstract (arXiv)

We present iBall, a basketball video-watching system that leverages gaze-moderated embedded visualizations to facilitate game understanding and engagement of casual fans. Video broadcasting and online video platforms make watching basketball games increasingly accessible. Yet, for new or casual fans, watching basketball videos is often confusing due to their limited basketball knowledge and the lack of accessible, on-demand information to resolve their confusion. To assist casual fans in watching basketball videos, we compared the game-watching behaviors of casual and die-hard fans in a formative study and developed iBall based on the fndings. iBall embeds visualizations into basketball videos using a computer vision pipeline, and automatically adapts the visualizations based on the game context and users' gaze, helping casual fans appreciate basketball games without being overwhelmed. We confrmed the usefulness, usability, and engagement of iBall in a study with 16 casual fans, and further collected feedback from 8 die-hard fans.