Associate Professor Juno Kim

My Expertise

I am an authority on virtual reality and cybersickness, multi-sensory integration and why we see materials as we do (e.g., gloss, colour shape, transparency), including visual illusions.

Keywords

virtual reality

sensory processing

computer graphics

vestibular function tests

dizziness

computational simulation

image analysis

human movement

data visualisation

real-time image processing

Fields of Research (FoR)

Sensory processes, perception and performance, Ophthalmology and optometry

Biography

My research is concerned with understanding how we perceive real-world and virtual environments. Our brain infers information about the physical properties of objects in the environment through neural signals it receives from our six senses. I seek to identify specific patterns in sensory information that are critically important for explaining optimal perception and action in real-world scenarios. I have particular strengths in research...view more

My Grants

2023 Kim J., Palmisano, S., Iwasaki, S. Enhancing sensory perception and balance control in HMD-based VR. ARC Discovery Project (DP230100303)
2021 Palmisano, S., Kim, J. Unleashing the potential of VR: reducing sickness in head-mounted displays. ARC Discovery Project (DP210101475)
2014 Kim, J. Image constraints on the perception of surfaces and materials. ARC Future Fellowship (FT140100535)
2010 Anderson, B.L., Kim, J., Fleming, R. The perception of surfaces and materials. ARC Discovery Project (DP1097229)

My Qualifications

2005 PhD in Psychology at the University of Sydney
1998 BSc (Honours-I) at the University of Sydney
1997 BSc studies in Computer Science, Psychology and Mathematical Statistics at the University of Sydney

My Awards

2022 Educational Excellence Award - Faculty of Medicine and Health

My Research Activities

Explain / predict the experience of cybersickness in HMD VR.
Determine the image properties for the perception of surfaces and materials.
Understand multi-sensory mechanisms for the perception of self-motion.
Explore the role of eye movements and retinal motion in perception of form and motion.
Develop psychophysical approaches for artificial intelligence to automatically assess morphological structures seen in ophthalmic images.

Find out more on our research laboratory webpage: Sensory Processes Research Laboratory

My Research Supervision

Areas of supervision

Vestibular neurophysiology
Human movement
Material and surface perception
Virtual Reality
Perception of self-motion

Currently supervising

Perception of surface shape and translucency in natural scenes.
Perception of shape and materials in virtual environments.
The illusory experience of self-motion perception (vection).
Improving the perception of corneal nerve morphology in ophthalmology and clinical optometry.
Galvanic Vestibular Stimulation (GVS) for HMD VR.
Using HMD VR to understand multisensory integration during standing and walking.