Research output per year
Research output per year
Personal profile
My group
Overview
I’m a PhD student in the School of Computer Science at the University of Manchester and the BBC Research and Development department, and more generally a part of the data science collaboration between the university and the BBC (see here for more details). My research focuses around applying data science techniques to low-level interaction data, such as mouse movements and keystrokes, with the aim of better understanding the audience the BBC attracts to its various services and products.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Machine Learning and Museum Collections: A Data Conundrum
Noehrer, L., Carlton, J. & Jay, C., 2021, Emerging Technologies and the Digital Transformation of Museums and Heritage Sites - 1st International Conference, RISE IMET 2021, Proceedings. Shehade, M. & Stylianou-Lambert, T. (eds.). Springer Nature, p. 19-31 13 p. (Communications in Computer and Information Science; vol. 1432).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Inferring User Engagement from Interaction Data
Carlton, J., Brown, A., Jay, C. & Keane, J., May 2019.Research output: Contribution to conference › Paper › peer-review
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Identifying Latent Indicators of Technical Difficulties from Interaction Data
Carlton, J., Woodcock, J., Brown, A., Jay, C. & Keane, J., 20 Aug 2018.Research output: Contribution to conference › Paper › peer-review
Open Access -
Using Low-Level Interaction Data to Explore User Behaviour in Interactive-Media Experiences
Carlton, J., Brown, A., Keane, J. & Jay, C., 2018.Research output: Contribution to conference › Paper › peer-review
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Recruiting from the network: discovering Twitter users who can help combat Zika epidemics
Missier, P., McClean, C., Carlton, J., Cedrim, D., Silva, L., Garcia, A., Plastino, A. & Romanovsky, A., 5 Jun 2016, p. 437-445. 9 p.Research output: Contribution to conference › Paper › peer-review
Datasets
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Cars Substory Interaction Data
Carlton, J. (Creator), University of Manchester Figshare, 19 Jan 2022
DOI: 10.48420/18702719.v1, https://figshare.manchester.ac.uk/articles/dataset/Cars_Substory_Interaction_Data/18702719/1
Dataset
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Malawi Substory Interaction Data
Carlton, J. (Creator), University of Manchester Figshare, 19 Jan 2022
DOI: 10.48420/18703472.v1, https://figshare.manchester.ac.uk/articles/dataset/Malawi_Substory_Interaction_Data/18703472/1
Dataset
Thesis
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Using Data to Understand How Audiences Engage with Interactive Media
Author: Carlton, J., 31 Dec 2022Supervisor: Keane, J. (Supervisor) & Jay, C. (Supervisor)
Student thesis: Phd
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