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Using language to predict cognitive outcomes in old age (2017–2020)

Professor Ina Bornkessel-Schlesewsky

This research project will test the hypothesis that high linguistic complexity scores reflect the ability to strategically optimise processing in the face of age-related reductions in processing capacity.

We aim to understand the relationship between these complexity scores and real time information processing across the adult lifespan. And aim to develop an accurate marker of the individual balance between processing capacity and strategy; serving as a predictor for the risk of age related cognitive impairment.

Collaborators: Prof. Reinhold Kliegl, University of Potsdam, Germany, Prof. Richard Lewis, University of Michigan, USA, Prof. Steven Small, University of California Irvine, USA

Enhancing human performance in complex environs by integrating virtual reality, wearable computing, cognitive neuroscience and mental training

Department of Defence, Defence Science and Technology Group Human Performance Research Network (HPRnet) &
Dr Maarten Immink

Defence personnel are selected and trained to operate in complex, high-risk environments while interacting with technology. This project aims to create an optimal cognitive screening and training environment by bringing together world-class expertise in virtual/augmented reality and wearable computing, cognitive neuroscience and mental training.

Principal Investigator: Prof Mark Billinghurst
Investigators: Professor Bruce Thomas, Professor Javaan Singh Chahl, Professor. Ina Bornkessel-Schlesewsky, Professor Matthias Schlesewsky, Dr Maarten Immink

Identifying Neurobiological Markers of High Mental Performance and Optimal Decision Making in Individuals and Teams

Department of Defence, Defence Science & Technology Group Research Network for Undersea Decision Superiority (RN-UDS)

This project develops an innovative approach for optimising information gathering and decision making in complex environments based on neurobiological markers of cognitive processing.

Principal Investigator: Prof Ina Bornkessel-Schlesewsky
Investigators: Professor Matthias Schlesewsky, Dr Maarten Immink, Dr Ruchi Sinha