This paper presents the design and evaluation of GestureExplorer, an Immersive Analytics tool that supports the interactive exploration, classification and sensemaking with large sets of 3D temporal gesture data. GestureExplorer features 3D skeletal and trajectory visualisations of gestures combined with abstract visualisations of clustered sets of gestures. By leveraging the large immersive space afforded by a Virtual Reality interface our tool allows free navigation and control of viewing perspective for users to gain a better understanding of gestures. We explored a selection of classification methods to provide an overview of the dataset that was linked to a detailed view of the data that showed different visualisation modalities. We evaluated GestureExplorer with two user studies and collected feedback from participants with diverse visualisation and analytics backgrounds. Our results demonstrated the promising capability of GestureExplorer for providing a useful and engaging experience in exploring and analysing gesture data.
@inproceedings{Li25_EmbeddedRunningVis,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},publisher={Wiley},doi={10.1111/cgf.70133},booktitle={Computer Graphics Forum (EuroVis Special Issue)},keywords={running, immersive analytics, mixed reality},location={Luxembourg City, Luxembourg},series={EuroVis '25},dimensions={true},}
2023
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
This paper presents the design and evaluation of GestureExplorer, an Immersive Analytics tool that supports the interactive exploration, classification and sensemaking with large sets of 3D temporal gesture data. GestureExplorer features 3D skeletal and trajectory visualisations of gestures combined with abstract visualisations of clustered sets of gestures. By leveraging the large immersive space afforded by a Virtual Reality interface our tool allows free navigation and control of viewing perspective for users to gain a better understanding of gestures. We explored a selection of classification methods to provide an overview of the dataset that was linked to a detailed view of the data that showed different visualisation modalities. We evaluated GestureExplorer with two user studies and collected feedback from participants with diverse visualisation and analytics backgrounds. Our results demonstrated the promising capability of GestureExplorer for providing a useful and engaging experience in exploring and analysing gesture data.
@inproceedings{10.1145/3544548.3580678,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 '23},dimensions={true},video={https://youtu.be/_5Y5uh3a_pE},}
A Visual Survey of In-Situ Running Analytics
Ang Li, Stephen Viller, Gianluca Demartini, and Maxime Cordeil
@inproceedings{123456,author={Li, Ang and Viller, Stephen and Demartini, Gianluca and Cordeil, Maxime},title={A Visual Survey of In-Situ Running Analytics},year={2023},publisher={IEEE},keywords={jogging, immersive analytics, survey (To be appear in IEEE VIS 2023 Posters)},location={Melbourne, Australia},series={VIS '23},dimensions={true},}
2022
Initial Evaluation of 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 (VRW), 2022
@inproceedings{9757455,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 (VRW)},title={Initial Evaluation of Immersive Gesture Exploration with GestureExplorer},year={2022},volume={},number={},pages={580-581},doi={10.1109/VRW55335.2022.00141},dimensions={true},}
Demonstrating Immersive Gesture Exploration with GestureExplorer (Honourable Mention Award)
Ang Li, Jiazhou Liu, Max Cordeil, and Barrett Ens
In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2022
@inproceedings{9757612,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 (VRW)},title={Demonstrating Immersive Gesture Exploration with GestureExplorer (Honourable Mention Award)},year={2022},volume={},number={},pages={980-981},doi={10.1109/VRW55335.2022.00341},dimensions={true},}
