Our three research streams:

Perception is our primary source of information, about ourselves, the world and others. It is also not always reliable. In our research, we examine ways in which we monitor and reflect on our own perceptual uncertainty, and whether background knowledge and AI-based technologies can help minimise it.  

AI and the future of perception

Artificial intelligence continues to shape our interaction with the world. Here, we examine its impact on perception.

Perceptual confidence

The confidence in perceptual decisions reveals unique insights into the workings our human perception.

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Cognition-perception interactions

Cognition and perception constantly interact with each other as shown in theories of cognitive penetrability of perception and predictive processing.

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Agency

Deciding what to do often comes with uncertainties : We may be unsure of what we want, or of the consequences of our actions. How do we monitor and reflect upon this uncertainty ? Does it make us revisit our status of free and responsible agents?

Confidence in choices

Description

Control & free will

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Responsibility

Description

Social interaction

How do we reduce and manage uncertainties in groups? Our research focuses here on face-to-face interactions, to see how we rely on each other to perceive, decide to do the right thing or stay silent, and what value we get from inclusive and consensual decisions. We are also interested to see what happens to us if we interact with artificial agents

Sharing experiences

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Failing to respond

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Group decisions

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Interacting with AI

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