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This area focuses on relationship between human trust and the machine performance. It will examine how different user interfaces influence trust towards an autonomous system, and which features are best suited for calibrating trust in each performance level.

A methodology frequently used within PACO lab is Brain Imaging. The methodology is used to investigate several different areas of cognition. Research includes using brain imaging to explore.
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This research area focuses on monitoring human physiological data in real-time within natural and virtual environments and developing some targeted interventions.

We focus on control protocols for human-vehicle interactions, such as handover tasks, and interaction strategies in order to to demonstrate their trustworthiness to regulators.

One defining characteristic of autism is differences in perceiving the world. In this research we study how vision, hearing and their combination are experienced in autism, especially when these sights and sounds contain emotion.

We have a longstanding interest in the perception of bodies in motion, from lifting an object to a contemporary dance duet. What parts of the movement are informative and how does the brain process this information?

Positive mental health in the workplace is important, and from time to time we have had the opportunity to contribute research to improving workplace mental health.

The search for information is ubiquitous in the modern world. In collaboration with Yashar Moshfeghi and the NeuraSearch lab we study brain mechanisms that underlie the states of information need, relevance and satisfaction when people use search systems.

A cross-cutting theme in the lab is how perception of the world varies between different groups. We have studied how expertise in dance, drumming and CCTV surveillance alter perception of the world.

This involves the investigation of structural brain abnormalities, as well as multisensory and unisensory processing deficits in autistic traits and Autism Spectrum Disorder (ASD). To achieve this, structural and functional magnetic resonance imaging (fMRI) and psychophysical techniques are employed.

Researchers in this area are exploring how we can use Augmented Reality to help people interaction properly with autonomous vehicles and whether it is possible to design a huggable robot as a comforter. This collaboration is part of the Multimodal Interaction Group and these researcher are supervised by Professor Steve Brewster.