All Outputs (13)

“The ChatGPT bot is causing panic now – but it’ll soon be as mundane a tool as Excel”: analysing topics, sentiment and emotions relating to ChatGPT on Twitter (2024)
Journal Article

ChatGPT, a sophisticated chatbot system by OpenAI, gained significant attention and adoption in 2022 and 2023. By generating human-like conversations, it attracted over 100 million monthly users; however, there are concerns about the social impact of... Read More about “The ChatGPT bot is causing panic now – but it’ll soon be as mundane a tool as Excel”: analysing topics, sentiment and emotions relating to ChatGPT on Twitter.

Digital twins for human-assistive robot teams in ambient assisted living (2023)
Conference Proceeding

Digital twins are virtual replicas of physical systems that simulate real-world scenarios to optimize system performance, reduce physical losses, and ensure user safety. Although digital twins have been widely adopted in industrial settings, there is... Read More about Digital twins for human-assistive robot teams in ambient assisted living.

A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress (2023)
Conference Proceeding

Online misinformation is a serious problem that can have a negative impact on individuals, societies, and democracies. It can lead to the spread of false information, the erosion of trust in institutions, and the polarisation of political discourse.... Read More about A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress.

Communicating health threats: Linguistic evidence for effective public health messaging during the Covid-19 pandemic (2023)
Report

Benchmarking framework for machine learning classification from fNIRS data (2023)
Journal Article

Background: While efforts to establish best practices with functional near infrared spectroscopy (fNIRS) signal processing have been published, there are still no community standards for applying machine learning to fNIRS data. Moreover, the lack of... Read More about Benchmarking framework for machine learning classification from fNIRS data.

The reception of public health messages during the COVID-19 pandemic (2022)
Journal Article

Understanding the reception of public health messages in public-facing communications is of key importance to health agencies in managing crises, pandemics, and other health threats. Established public health communications strategi... Read More about The reception of public health messages during the COVID-19 pandemic.

The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK (2022)
Journal Article

During the COVID-19 pandemic, digital contact-tracing has been employed in many countries to monitor and manage the spread of the disease. However, to be effective such a system must be adopted by a substantial proportion of the population; therefore... Read More about The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK.

Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project (2022)
Journal Article

Understanding stakeholders’ views on novel autonomous systems in healthcare is essential to ensure these are not abandoned after substantial investment has been made. The ExTRAPPOLATE project applied the principles of Responsible Research and Innovat... Read More about Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project.

Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson (2021)
Report

This study analyses the language of speeches about COVID-19 delivered by Boris Johnson, the Prime Minister of the United Kingdom between 3rd March 2020 and 5th April 2021. We use transcribed speeches to construct a digitised body of texts called a... Read More about Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson.

Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks (2019)
Conference Proceeding

Functional Near-Infrared Spectroscopy (fNIRS) has shown promise for being potentially more suitable (than e.g. EEG) for brain-based Human Computer Interaction (HCI). While some machine learning approaches have been used in prior HCI work, this paper... Read More about Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks.

Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning (2019)
Conference Proceeding

© 2019, Springer Nature Switzerland AG. Policy making involves an extensive research phase during which existing policies which are similar to the one under development need to be retrieved and analysed. This phase is time-consuming for the following... Read More about Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning.

Using online news comments to gather fast feedback on issues with public health messaging: The Guardian as a case study
Report

This study uses corpus linguistics to analyse opinions on messaging and public health measures from one resource—comments posted in response to articles containing references to borders from The Guardian online. Overall, commenters made international... Read More about Using online news comments to gather fast feedback on issues with public health messaging: The Guardian as a case study.

Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online
Report

The Coronavirus Discourses project supports public health partners Public Health Wales, Public Health England, and NHS Education for Scotland in addressing key challenges that the coronavirus pandemic presents in terms of understanding the flow and i... Read More about Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online.