Computational modelling is used to explain perceptual decisions, predict behaviour, and guide the design of interactive systems. The work includes Bayesian cue integration, Kalman filtering, signal processing, simulation, data-driven haptic rendering, psychometric modelling, movement analysis, and machine learning.
Extended reality and virtual reality work in this programme focuses on immersive systems that are shaped by perception rather than only by hardware capability. The question is not simply whether an XR system can render an image, object, hand, or environment, but whether the result supports action, ownership, timing, social presence, and usable feedback.
Haptics is the part of the research programme concerned with touch as an active, informative, and designable signal. The work asks how people perceive texture, softness, weight, force, vibration, and contact, and how those perceptual mechanisms can be used to build haptic systems that feel useful rather than merely mechanically accurate.
Multisensory perception studies how people infer the state of the world from signals that are useful but imperfect. Vision, touch, audition, and proprioception each carry partial information, and the brain must decide when signals belong together, how reliable they are, and how they should influence perception and action.
Psychophysics provides the measurement backbone of the research programme. It is used to quantify what people perceive, how reliably they can discriminate sensory signals, how their judgments change with context, and how experimental apparatus affects the signals that reach the observer.
Temporal perception asks how time is perceived when there is no dedicated sensory organ for time. The work studies synchrony, temporal order, duration, rhythm, reaction time, recalibration, and the way perceived timing changes with context, expectation, attention, and action.