I am Lei Gao(高蕾), a research fellow in the Department of Computer Science at University College London, under the supervision of Prof.Sriram Subramanian . I currently do research at Multi-Sensory Devices (MSD) Group and create novel applications in HCI using acoustic levitation technique, exploring the design principles, technique solutions and future research possibilities.
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Email: lei.gao.20@ucl.ac.uk
I am deeply engaged in the field of Human-Computer Interaction (HCI), with a particular emphasis on technical HCI, developing innovative interactive prototypes employing advanced technologies such as Acoustic Levitation. My expertise extends to a wide range of areas including Haptics, Virtual/Augmented/Extended Reality (VR/AR/XR) systems, and using data-driven methods in creating efficient and impactful applications.
SONARIOS: A Design Futuring-Driven Exploration of Acoustophoresis
ACM Designing Interactive Systems Conference (DIS 2025) Best Paper Award
AcoustoBots: A swarm of robots for acoustophoretic multimodal interactions
Frontiers in Robotics and AI , 12, 1537101
Slip-Grip: An Electrotactile Method to Simulate Weight
ACM CHI Conference on Human Factors in Computing Systems (CHI 2025)
Ultrasound can deliver chemical stimulants to the skin and modulate their perception
Nature Scientific Reports , 15, no. 1(2025): 10297.
Computational Gastronomy and Eating with Acoustophoresis
Companion Proceedings of the 26th International Conference on Multimodal Interaction (ICMI Companion 2024)
StableLev: Data-Driven Stability Enhancement for Multi-Particle Acoustic Levitation
ACM CHI Conference on Human Factors in Computing Systems (CHI 2024)
Paper | Video | Video preview
Designing and Prototyping Applications Using Acoustophoretic Interfaces
ACM Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA 2024)
DataLev: Mid-air Data Physicalisation Using Acoustic Levitation
ACM CHI Conference on Human Factors in Computing Systems (CHI 2023)
Paper | Video | Video preview
DATALEV: Acoustophoretic Data Physicalisation
ACM UIST Symposium on User Interface Software and Technology (UIST Demo 2022)
MAG+: AN EXTENDED MULTIMODAL ADAPTATION GATE FOR MULTIMODA SENTIMENT ANALYSIS
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)
Investigating the Effectiveness of Virtual Reality for Culture Learning
International Journal of Human–Computer Interaction, 37:18, 1771-1781, 2021 (IJHCI 2021)
Automatic Clustering of Different Solutions to Programming Assignments in Computing Education
ACM Global Computing Education Conference 2019 (CompEd 2019)