Ang (Leon) Li

School of Information Technology and Electrical Engineering

The University of Queensland

Brisbane, Queensland 4072

My name is Ang ‘Leon’ Li, or ‘李昂’ in Chinese character. I am currently a PhD candidate at the School of Information Technology and Electrical Engineering, University of Queensland in Australia. My supervisors are Dr. Maxime Cordeil, A/Prof. Gianluca Demartini and A/Prof. Stephen Viller.

Prior to my PhD candidature at UQ, I completed my Bachelor’s Degree in Computer Science Advanced from Monash University with a first-class honour. My honours thesis concerned the Visualisation and Analysis of Gesture Data in Immersive Environments. I had much pleasure of being supervised by Dr. Barrett Ens and Dr. Maxime Cordeil at Monash University’s Data Visualisation and Immersive Analytics Lab (Now the Embodied Visualisation Research Group).

My research interests revolve around the field of Human-Centred Interaction with a focus on Immersive Analytics. My current research topic explores data visualisation and interaction in augmented/virtual environments to support in-situ and ad-hoc decision-making while the user is in motion.

news

Jul 16, 2023	I have a poster titled “A Visual Survey of In-Situ Running Analytics” accetped at IEEE VIS 2023
Jul 16, 2023	I will become a tutor for DECO2300/7230, semester 2, 2023 at the University of Queensland.
Apr 22, 2023	I am heading to Hamburg, Germany for CHI'23!
Apr 9, 2023	After nearly a year of delay in visa processing, I finally commenced my PhD study at the University of Queensland this April!
Jan 14, 2023	Our paper “GestureExplorer: Immersive Visualisation and Exploration of Gesture Data” has been accepted to CHI’23!

selected publications

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

Abs Bib PDF URL Video

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

In , 2023

Bib PDF

@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},
}