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Completed FELLOWSHIP UKRI Gateway to Research

Hearing in a social context: Understanding predictive mechanisms in communicative interaction

£11.91M GBP

Funder UK Research and Innovation Future Leaders Fellowship
Recipient Organization University of Nottingham
Country United Kingdom
Start Date Jan 01, 2021
End Date Jun 29, 2025
Duration 1,640 days
Number of Grantees 2
Roles Fellow; Award Holder
Data Source UKRI Gateway to Research
Grant ID MR/T041471/1
Grant Description

Conversation is fundamental for developing social attachments, and if the ability to converse with others breaks down, it can be devastating. Not only does conversation with others improve psychological wellbeing, it also buffers people against the ill-effects of stress and other health issues. People with hearing impairment report social isolation and loneliness as one of its most disabling outcomes, yet we know very little about how to support conversation for people that struggle.

To date, the majority of research examining speaking and listening behaviour has tested individuals in isolation, using experimental methods that do not require them to actually engage with someone else. But it is only by investigating speaking and listening in a social context that we can address the cognitive processes specific to conversation.

To interact smoothly, people must make mental predictions about each other's contributions. Conversations would be much less fluent if people waited for the person they were talking to to finish before they began preparing their response. Yet people with hearing impairment show reduced use of prediction during speech listening, even though they could particularly benefit from such help given their poor auditory input.

The objective of this project is therefore to understand how we make predictions during interaction, in order to identify ways of making conversation easier for people with hearing impairment. Combined behavioural and neuroscientific experiments will explore how people make predictions during interaction at both the mental level and the brain level, and I will draw this work together to generate a model of prediction in interaction.

The way that predictions differ with hearing impairment will also be explored: do people with hearing impairment make predictions too late to be useful, are they less confident in their predictions, or are their predictions simply inaccurate? Following training with a hearing device manufacturer, subsequent work will identify how the findings could be implemented in hearing technology to support people with hearing impairment have conversations successfully.

This work could transform the state-of-the-art in hearing devices, and therefore has the potential to benefit the psychological wellbeing of millions.

All Grantees

University of Nottingham

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