Grand Challenges in Cross Reality
Christoph Anthes, Mark Billinghurst, Uwe Grünefeld, Hans-Christian Jetter, Hai-Ning Liang, Frank Maurer, David Aigner, Craig Anslow, Guillaume Bataille, Abraham G. Campbell, Judith Friedl-Knirsch, Alexander Gall, Renan Guarese, Sebastian Hubenschmid, Yue Li, Fabian Pointecker, Andreas Riegler, Daniel Roth, Rishi Vanukuru, Nanjia Wang, Lingyun Yu, Johannes Zagermann, Daniel Zielasko
IEEE Transactions on Visualization and Computer Graphics, 2026
@ARTICLE{Anthes:2026:GCC,
author={Anthes, Christoph and Billinghurst, Mark and Grünefeld, Uwe and Jetter, Hans-Christian and Liang, Hai-Ning and Maurer, Frank and Aigner, David and Anslow, Craig and Bataille, Guillaume and Campbell, Abraham G. and Friedl-Knirsch, Judith and Gall, Alexander and Guarese, Renan and Hubenschmid, Sebastian and Li, Yue and Pointecker, Fabian and Riegler, Andreas and Roth, Daniel and Vanukuru, Rishi and Wang, Nanjia and Yu, Lingyun and Zagermann, Johannes and Zielasko, Daniel},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={Grand Challenges in Cross Reality},
year={2026},
volume={32},
number={9},
pages={7998-8016},
doi={10.1109/TVCG.2026.3695303}} SpatialTouch: Exploring Spatial Data Visualizations in Cross-reality
Lixiang Zhao, Tobias Isenberg, Fuqi Xie, Hai-Ning. Liang, Lingyun Yu
IEEE VIS: IEEE Transactions on Visualization and Computer Graphics, 2025
@ARTICLE{Zhao:2025:SpatialTouch,
author={Zhao, Lixiang and Isenberg, Tobias and Xie, Fuqi and Liang, Hai-Ning and Yu, Lingyun},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={SpatialTouch: Exploring Spatial Data Visualizations in Cross-Reality},
year={2025},
volume={31},
number={1},
pages={897-907},
doi={10.1109/TVCG.2024.3456368}} Data Cubes in Hand: A Design Space of Tangible Cubes for Visualizing 3D Spatio-Temporal Data in Mixed Reality
Shuqi He, Haonan Yao, Luyan Jiang, Kaiwen Li, Nan Xiang, Yue Li, Hai-Ning Liang, Lingyun Yu
CHI: ACM Conference on Human Factors in Computing Systems, 2024
@inproceedings{10.1145/3613904.3642740,
author = {He, Shuqi and Yao, Haonan and Jiang, Luyan and Li, Kaiwen and Xiang, Nan and Li, Yue and Liang, Hai-Ning and Yu, Lingyun},
title = {Data Cubes in Hand: A Design Space of Tangible Cubes for Visualizing 3D Spatio-Temporal Data in Mixed Reality},
year = {2024},
isbn = {9798400703300},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3613904.3642740},
doi = {10.1145/3613904.3642740},
abstract = {Tangible interfaces in mixed reality (MR) environments allow for intuitive data interactions. Tangible cubes, with their rich interaction affordances, high maneuverability, and stable structure, are particularly well-suited for exploring multi-dimensional data types. However, the design potential of these cubes is underexplored. This study introduces a design space for tangible cubes in MR, focusing on interaction space, visualization space, sizes, and multiplicity. Using spatio-temporal data, we explored the interaction affordances of these cubes in a workshop (N=24). We identified unique interactions like rotating, tapping, and stacking, which are linked to augmented reality (AR) visualization commands. Integrating user-identified interactions, we created a design space for tangible-cube interactions and visualization. A prototype visualizing global health spending with small cubes was developed and evaluated, supporting both individual and combined cube manipulation. This research enhances our grasp of tangible interaction in MR, offering insights for future design and application in diverse data contexts.},
booktitle = {Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems},
articleno = {209},
numpages = {21},
keywords = {mixed reality, spatio-temporal data, tangible interaction},
location = {Honolulu, HI, USA},
series = {CHI ’24}
} VisCourt: In-Situ Guidance for Interactive Tactic Training in Mixed Reality
Liqi Cheng, Hanze Jia, Lingyun Yu, Yihong Wu, Shuainan Ye, Dazhen Deng, Hui Zhang, Xiao Xie, Yingcai Wu
ACM UIST: ACM Symposium on User Interface Software and Technology, 2024
@inproceedings{10.1145/3654777.3676466,
author = {Cheng, Liqi and Jia, Hanze and Yu, Lingyun and Wu, Yihong and Ye, Shuainan and Deng, Dazhen and Zhang, Hui and Xie, Xiao and Wu, Yingcai},
title = {VisCourt: In-Situ Guidance for Interactive Tactic Training in Mixed Reality},
year = {2024},
isbn = {9798400706288},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3654777.3676466},
doi = {10.1145/3654777.3676466},
abstract = {In team sports like basketball, understanding and executing tactics—coordinated plans of movements among players—are crucial yet complex, requiring extensive practice. These tactics require players to develop a keen sense of spatial and situational awareness. Traditional coaching methods, which mainly rely on basketball tactic boards and video instruction, often fail to bridge the gap between theoretical learning and the real-world application of tactics, due to shifts in view perspectives and a lack of direct experience with tactical scenarios. To address this challenge, we introduce VisCourt, a Mixed Reality (MR) tactic training system, in collaboration with a professional basketball team. To set up the MR training environment, we employed semi-automatic methods to simulate realistic 3D tactical scenarios and iteratively designed visual in-situ guidance. This approach enables full-body engagement in interactive training sessions on an actual basketball court and provides immediate feedback, significantly enhancing the learning experience. A user study with athletes and enthusiasts shows the effectiveness and satisfaction with VisCourt in basketball training and offers insights for the design of future SportsXR training systems.},
booktitle = {Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology},
articleno = {32},
numpages = {14},
keywords = {Immersive Training, In-Situ Visualization, Mixed Reality, SportsXR},
location = {Pittsburgh, PA, USA},
series = {UIST '24}
} A Mixed Reality Framework for Microsurgery Simulation with Visual-Tactile Perception
Nan Xiang, Hai-Ning Liang, Lingyun Yu, Xiaosong Yang, Jian J Zhang
The Visual Computer, 2023
@article{10.1007/s00371-023-02964-1,
author = {Xiang, Nan and Liang, Hai-Ning and Yu, Lingyun and Yang, Xiaosong and Zhang, Jian J.},
title = {A mixed reality framework for microsurgery simulation with visual-tactile perception},
year = {2023},
issue_date = {Aug 2023},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
volume = {39},
number = {8},
issn = {0178-2789},
url = {https://doi.org/10.1007/s00371-023-02964-1},
doi = {10.1007/s00371-023-02964-1},
journal = {Vis. Comput.},
month = {jun},
pages = {3661–3673},
numpages = {13},
keywords = {3D modeling, 3D tracking, Mixed reality, Virtual surgery}
} 



