We explore how running speed affects target-selection performance in extended reality through a Fitts’ tapping task using direct virtual touch. A controlled study with precise motion tracking examines the effects of speed, pointing phase, and foot strike on movement time, error rate, exertion, and task load.
@article{li2026selectrunning,author={Li, Ang and Knibbe, Jarrod and Tatsuzawa, Koya and Demartini, Gianluca and Viller, Stephen and Wallis, Geoffrey and Stuerzlinger, Wolfgang and Cordeil, Maxime},title={Investigating 3D Selection Performance While Running in Extended Reality: an In-depth Study of the Effect of Speed},year={2026},journal={IEEE Transactions on Visualization and Computer Graphics},publisher={IEEE},doi={10.1109/TVCG.2026.3722681},url={https://doi.org/10.1109/TVCG.2026.3722681},note={doi: 10.1109/TVCG.2026.3722681},keywords={3D pointing, running, jogging, extended reality, Fitts' law},dimensions={true},}
First-Person Visualization for Sports and Physical Activities: Challenges and Opportunities
Charles Perin, Charles-Olivier Dufresne-Camaro, Maxime Cordeil, Ut Gong, Christophe Hurter, Pourang P. Irani, Jade Kandel, Ang Li, and
5 more authors
We identify core visualisation and interaction challenges and research opportunities for first-person visualisation in sports and physical activities.
@article{perin2026firstperson,author={Perin, Charles and Dufresne-Camaro, Charles-Olivier and Cordeil, Maxime and Gong, Ut and Hurter, Christophe and Irani, Pourang P. and Kandel, Jade and Li, Ang and Lin, Tica and Pearman, Ben and Yang, Yalong and Yao, Lijie and Willett, Wesley},title={First-Person Visualization for Sports and Physical Activities: Challenges and Opportunities},year={2026},journal={IEEE Computer Graphics and Applications},publisher={IEEE},keywords={first-person visualization, sports visualization, physical activity, situated visualization},}
Running with Data: a Survey of the Current Research and a Design Exploration of Future Immersive Visualisations
Ang Li, Charles Perin, Gianluca Demartini, Stephen Viller, Jarrod Knibbe, and Maxime Cordeil
IEEE Transactions on Visualization and Computer Graphics, 2025
This work investigates in-situ visualisations for running. We analyse 47 papers from 33 Human-Computer Interaction and Visualisation venues, identify six dimensions of a design space, and conduct workshops with 10 active runners to elicit concepts for future immersive running visualisations.
@article{li2025runningwithdata,author={Li, Ang and Perin, Charles and Demartini, Gianluca and Viller, Stephen and Knibbe, Jarrod and Cordeil, Maxime},title={Running with Data: a Survey of the Current Research and a Design Exploration of Future Immersive Visualisations},year={2025},journal={IEEE Transactions on Visualization and Computer Graphics},publisher={IEEE},doi={10.1109/TVCG.2025.3634631},url={https://doi.org/10.1109/TVCG.2025.3634631},keywords={running, jogging, survey, taxonomy, personal visual analytics, augmented reality, mixed reality, extended reality},location={Vienna, Austria},series={IEEE VIS 2025},dimensions={true},}
Embedded and Situated Visualisation in Mixed Reality to Support Interval Running
Ang Li, Charles Perin, Jarrod Knibbe, Gianluca Demartini, Stephen Viller, and Maxime Cordeil
We investigate mixed-reality visualisations for pace tracking during interval running. We introduce and evaluate three immersive visual designs that use the space in front of the runner and the physical environment to communicate pace.
@article{li2025embeddedrunning,author={Li, Ang and Perin, Charles and Knibbe, Jarrod and Demartini, Gianluca and Viller, Stephen and Cordeil, Maxime},title={Embedded and Situated Visualisation in Mixed Reality to Support Interval Running},year={2025},journal={Computer Graphics Forum},publisher={Wiley},volume={44},number={3},doi={10.1111/cgf.70133},url={https://doi.org/10.1111/cgf.70133},keywords={running, immersive analytics, mixed reality},location={Luxembourg City, Luxembourg},series={EuroVis 2025},dimensions={true},}
GestureExplorer: Immersive Visualisation and Exploration of Gesture Data
Ang Li, Jiazhou Liu, Maxime Cordeil, Jack Topliss, Thammathip Piumsomboon, and Barrett Ens
In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
GestureExplorer is an immersive analytics tool that supports interactive exploration, classification, and sensemaking with large sets of 3D temporal gesture data.
@inproceedings{li2023gestureexplorer,author={Li, Ang and Liu, Jiazhou and Cordeil, Maxime and Topliss, Jack and Piumsomboon, Thammathip and Ens, Barrett},title={GestureExplorer: Immersive Visualisation and Exploration of Gesture Data},year={2023},isbn={9781450394215},publisher={Association for Computing Machinery},address={New York, NY, USA},url={https://doi.org/10.1145/3544548.3580678},doi={10.1145/3544548.3580678},booktitle={Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems},articleno={380},numpages={16},keywords={gesture elicitation study, immersive analytics, virtual reality},location={Hamburg, Germany},series={CHI 2023},dimensions={true},}
Workshop and poster papers
Challenges and Opportunities for Immersive Visualizations for Running
Ang Li, Liam Shatzel, Maxime Cordeil, and Charles Perin
In CHI 2026 Workshop on Next Steps for Augmented Reality On-the-Move: Challenges and Opportunities, 2026
We present an exploration of first-person egocentric immersive pace and cadence visualizations along the spectrum of situatedness and discuss challenges and opportunities for mixed-reality support while running.
@inproceedings{li2026immersiverunningworkshop,author={Li, Ang and Shatzel, Liam and Cordeil, Maxime and Perin, Charles},title={Challenges and Opportunities for Immersive Visualizations for Running},year={2026},booktitle={CHI 2026 Workshop on Next Steps for Augmented Reality On-the-Move: Challenges and Opportunities},publisher={ACM},location={Barcelona, Spain},numpages={5},keywords={visualization, mixed reality, running},}
SAMMed-VR: Integrated Segment Anything Model in Virtual Reality for Supervised Brain Tumour Segmentation
V. Pooryousef, H. Peiris, H. Liang, Ang Li, Z. Chen, T. Dwyer, and J. Liu
We present a virtual-reality probe integrating an expert-in-the-loop workflow with SAM-Med3D, allowing users to iteratively improve brain tumour segmentation by selecting points for AI refinement.
@inproceedings{pooryousef2025sammedvr,author={Pooryousef, V. and Peiris, H. and Liang, H. and Li, Ang and Chen, Z. and Dwyer, T. and Liu, J.},title={SAMMed-VR: Integrated Segment Anything Model in Virtual Reality for Supervised Brain Tumour Segmentation},year={2025},booktitle={IEEE VIS 2025 Posters},publisher={IEEE},}
A Visual Survey of In-Situ Running Analytics
Ang Li, Stephen Viller, Gianluca Demartini, and Maxime Cordeil
@inproceedings{li2022gestureexplorerevaluation,author={Li, Ang and Liu, Jiazhou and Cordeil, Max and Ens, Barrett},booktitle={2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops},title={Initial Evaluation of Immersive Gesture Exploration with GestureExplorer},year={2022},pages={580-581},doi={10.1109/VRW55335.2022.00141},url={https://doi.org/10.1109/VRW55335.2022.00141},dimensions={true},}
Demonstrating Immersive Gesture Exploration with GestureExplorer
Ang Li, Jiazhou Liu, Max Cordeil, and Barrett Ens
In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022
@inproceedings{li2022gestureexplorerdemo,author={Li, Ang and Liu, Jiazhou and Cordeil, Max and Ens, Barrett},booktitle={2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops},title={Demonstrating Immersive Gesture Exploration with GestureExplorer},year={2022},pages={980-981},doi={10.1109/VRW55335.2022.00341},url={https://doi.org/10.1109/VRW55335.2022.00341},note={Honourable Mention for Best Demo},dimensions={true},}
