Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project

Andrews, Jacob A; Rawsthorne, Mat; Manolescu, Cosmin; Burton McFaul, Matthew; French, Blandine; Rye, Elizabeth; McNaughton, Rebecca; Baliousis, Michael; Smith, Sharron; Biswas, Sanchia; Baker, Erin; Repper, Dean; Long, Yunfei; Jilani, Tahseen; Clos, Jeremie; Higton, Fred; Moghaddam, Nima; Malins, Sam

doi:10.1016/j.jrt.2022.100044

All Outputs (9)

“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
Heaton, D., Clos, J., Nichele, E., & Fischer, J. E. (2024). “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. Personal and Ubiquitous Computing, 28, 875–894. https://doi.org/10.1007/s00779-024-01811-x

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.

Perceptions of The Agency and Responsibility of The NHS Covid-19 App on Twitter: A Critical Discourse Analysis (2024)
Journal Article
Heaton, D., Nichele, E., Clos, J., & Fischer, J. E. (in press). Perceptions of The Agency and Responsibility of The NHS Covid-19 App on Twitter: A Critical Discourse Analysis. Journal of Medical Internet Research, 26, Article e50388. https://doi.org/10.2196/50388

Background:

Since September 2020, the National Health Service (NHS) COVID-19 contact-tracing app has been used to mitigate the spread of COVID-19 in the United Kingdom. Since its launch, this app has been a part of the discussion regarding the pe... Read More about Perceptions of The Agency and Responsibility of The NHS Covid-19 App on Twitter: A Critical Discourse Analysis.

“ChatGPT says no”: agency, trust, and blame in Twitter discourses after the launch of ChatGPT (2024)
Journal Article
Heaton, D., Nichele, E., Clos, J., & Fischer, J. E. (2025). “ChatGPT says no”: agency, trust, and blame in Twitter discourses after the launch of ChatGPT. AI and Ethics, 5, 653-675. https://doi.org/10.1007/s43681-023-00414-1

ChatGPT, a chatbot using the GPT-n series large language model, has surged in popularity by providing conversation, assistance, and entertainment. This has raised questions about its agency and resulting implications on trust and blame, particularly... Read More about “ChatGPT says no”: agency, trust, and blame in Twitter discourses after the launch of ChatGPT.

“The pingdemic has been a greater challenge than Covid itself”: semantic prosodies in UK newspaper articles during the pandemic (2023)
Journal Article
Heaton, D., Nichele, E., Clos, J., & Fischer, J. E. (2023). “The pingdemic has been a greater challenge than Covid itself”: semantic prosodies in UK newspaper articles during the pandemic. SN Social Sciences, 3(9), Article 146. https://doi.org/10.1007/s43545-023-00740-5

In July 2021, the UK recorded an increase in self-isolation notifications to the users of the NHS Covid-19 contact-tracing app. The term pingdemic was coined and used widely in the media to refer to this period of increased notifications. Whilst exis... Read More about “The pingdemic has been a greater challenge than Covid itself”: semantic prosodies in UK newspaper articles during the pandemic.

“The algorithm will screw you”: Blame, social actors and the 2020 A Level results algorithm on Twitter (2023)
Journal Article
Heaton, D., Nichele, E., Clos, J., & Fischer, J. E. (2023). “The algorithm will screw you”: Blame, social actors and the 2020 A Level results algorithm on Twitter. PLoS ONE, 18(7), Article e0288662. https://doi.org/10.1371/journal.pone.0288662

In August 2020, the UK government and regulation body Ofqual replaced school examinations with automatically computed A Level grades in England and Wales. This algorithm factored in school attainment in each subject over the previous three years. Gov... Read More about “The algorithm will screw you”: Blame, social actors and the 2020 A Level results algorithm on Twitter.

Benchmarking framework for machine learning classification from fNIRS data (2023)
Journal Article
Benerradi, J., Clos, J., Landowska, A., Valstar, M. F., & Wilson, M. L. (2023). Benchmarking framework for machine learning classification from fNIRS data. Frontiers in Neuroergonomics, 4, Article 994969. https://doi.org/10.3389/fnrgo.2023.994969

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
McClaughlin, E., Vilar-Lluch, S., Parnell, T., Knight, D., Nichele, E., Adolphs, S., Clos, J., & Schiazza, G. (2023). The reception of public health messages during the COVID-19 pandemic. Applied Corpus Linguistics, 3(1), Article 100037. https://doi.org/10.1016/j.acorp.2022.100037

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 strategies including self-... 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
Dowthwaite, L., Wagner, H. G., Babbage, C. M., Fischer, J. E., Barnard, P., Nichele, E., Perez Vallejos, E., Clos, J., Portillo, V., & McAuley, D. (2022). The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK. PLoS ONE, 17(10), Article e0276661. https://doi.org/10.1371/journal.pone.0276661

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
Andrews, J. A., Rawsthorne, M., Manolescu, C., Burton McFaul, M., French, B., Rye, E., McNaughton, R., Baliousis, M., Smith, S., Biswas, S., Baker, E., Repper, D., Long, Y., Jilani, T., Clos, J., Higton, F., Moghaddam, N., & Malins, S. (2022). Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project. Journal of Responsible Technology, 11, Article 100044. https://doi.org/10.1016/j.jrt.2022.100044

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.