ShuttleSpace: Exploring and Analyzing Movement Trajectory in Immersive Visualization

Shuainan Ye, Zhutian Chen, Xiangtong Chu, Yifan Wang, Siwei Fu, Lejun Shen, Kun Zhou, Yingcai Wu

View presentation: 2020-10-28T16:00:00Z GMT-0600 Change your timezone on the schedule page
2020-10-28T16:00:00Z
Exemplar figure
ShuttleSpace is an immersive analytics system that allows a badminton coach to analyze the trajectory data from the player’s perspective. a) The trajectories are visualized in a full-size simulated badminton court. Two semi-donut charts are displayed on the left and right side of the user’s field-of-view (FOV) to present the usage and winning rates of the trajectories, respectively. b) Two grid-based visualizations show the distributions of usage and winning rates along the vertical positions. c) Comparing the usage and winning rates between two categories of trajectories.
Keywords

Movement trajectory, badminton analytics, virtual reality

Abstract

We present ShuttleSpace, an immersive analytics system to assist experts in analyzing trajectory data in badminton. Trajectories in sports, such as the movement of players and balls, contain rich information on player behavior and thus have been widely analyzed by coaches and analysts to improve the players' performance. However, existing visual analytics systems often present the trajectories in court diagrams that are abstractions of reality, thereby causing difficulty for the the experts to imagine the situation on the court and understand why the player acted in a certain way. With recent developments in immersive technologies, such as virtual reality (VR), experts gradually have the opportunity to see, feel, explore, and understand these 3D trajectories from the player's perspective. Yet, few research has studied how to support immersive analysis of sports data from such a perspective. Specific challenges are rooted in data presentation (\emph{e.g.}, how to seamlessly combine 2D and 3D visualizations) and interaction (\emph{e.g.}, how to naturally interact with data without keyboard and mouse) in VR. To address these challenges, we have worked closely with domain experts who have worked for a top national badminton team to design ShuttleSpace, an immersive analytics system tailored for VR environments. Our system leverages 1) the peripheral vision to combine the 2D and 3D visualizations and 2) the VR controller to support natural interactions via a stroke metaphor. We demonstrate the effectiveness of ShuttleSpace through three case studies conducted by the experts with useful insights. We further conduct interviews with the experts whose feedback confirms that our first-person immersive analytics system is suitable and useful for analyzing badminton data.