ICON Research Group

PGR and PGT students using VR representing Perception, Action, Cognition research at the School of Psychology

The Immersion and Cognitive Neuroscience (ICON) Group brings together multiple research programmes investigating the dynamic interplay between human perception, action, learning, decision-making, and social cognition. Our work bridges knowledge from psychology, neuroscience, computer science, and engineering, leveraging immersive technologies such as virtual and augmented reality, neuroimaging techniques (e.g., EEG, fNIRS, TMS), and human motion tracking (eye tracking and motion capture). We aim to push the boundaries of behavioural science while applying our findings to real-world challenges.

Our research encompasses the development of innovative healthcare solutions for diagnosis, training, and rehabilitation, the enhancement of assistive technologies for specific populations (e.g., autism, visual impairment), and the study of social robots’ behaviour to ensure transparent human-robot/AI interactions.

Key funders of our work include BBSRC, BIAL Foundation, NHIR, Experimental Psychology Society, EU

Current Members:
Dr Carlo Campagnoli
Dr Rachel Coats
Dr Emmanuele Tidoni
Prof Faisal Mushtaq

Highlighted projects

The efficacy of second eye cataract surgery
PIs: Dr Rachel Coats and Dr Carlo Campagnoli

We examine the impact of second-eye cataract surgery (SES) on visual and motor function and overall quality of life. Using motion capture and VR, our goal is to provide evidence-based insights to inform policies on SES eligibility, addressing inconsistencies in access due to varying visual thresholds set by Clinical Commissioning Groups (CCGs). Understanding how SES affects daily life is key to supporting more equitable healthcare decisions.

A human hand interacting with two robots

The perception of human and robot actions
PIs: Dr Emmanuele Tidoni and Dr Carlo Campagnoli

We investigate the social and cognitive mechanisms that allow people to infer the intentions of humans and robot when observing their actions. We use behavioural (kinematic, eye-tracking) and physiological measures (e.g., pupillometry, fNIRS, EEG, TMS) to explore the neurocognitive mechanisms guiding human social cognition.

Using VR and EEG to study learning
PI: Prof Faisal Mushtaq

We work with partners at the Centre for Immersive Technologies and the Centre for Applied Education Research to run city-scale investigations into learning and skill acquisition in children and adolescents using cutting-edge VR and EEG technologies in classrooms and public spaces. A key feature of this programme is our focus on citizen science, with active engagement and co-production from our participants.

Find out more about the ICONs group.