Browse 20 peer-reviewed papers from University College London spanning Large Language Models, Human-Computer Interaction (2021–2026). Research powered by Prolific's high-quality participant data.
This page lists 20 peer-reviewed papers from researchers at University College London in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: W Liu, X Mou, H Yan, Z, Wei, Y He
Year: 2026
Published in: arXiv preprint arXiv:2606.04075, 2026•arxiv.org
Institution: King’s College London, Fudan University, Shanghai Innovation Institute, The Alan Turing Institute
Research Area: Human-Computer Interaction
Discipline: Machine Learning, Artificial Intelligence
The paper finds that large language models can exploit gaps in societal rules, leading to regulatory loophole discovery, necessitating a new post-training approach for safely integrating LLMs into society.
Methods: The study introduced the SocioHack sandbox, consisting of 72 societal environments, to investigate reward hacking and loophole discovery by LLMs.
Key Findings: The study measured the emergence of reward hacking in societal environments and the ability of models to find and exploit loopholes in social rules.
Sample Size: 72
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Authors: P. Schoenegger, F. Salvi, J. Liu, X. Nan, R. Debnath, B. Fasolo, E. Leivada, G. Recchia, F. Günther, A. Zarifhonarvar, J. Kwon, Z. Ul Islam, M. Dehnert, D. Y. H. Lee, M. G. Reinecke, D. G. Kamper, M. Kobaş, A. Sandford, J. Kgomo, L. Hewitt, S. Kapoor, K. Oktar, E. E. Kucuk, B. Feng, C. R. Jones, I. Gainsburg, S. Olschewski, N. Heinzelmann, F. Cruz, B. M. Tappin, T. Ma, P. S. Park, R. Onyonka, A. Hjorth, P. Slattery, Q. Zeng, L. Finke, I. Grossmann, A. Salatiello, E. Karger
Year: 2025
Published in: arXiv preprint arXiv ..., 2025 - arxiv.org
Institution: London School of Economics and Political Science, University of Cambridge, University College London, Massachusetts Institute of Technology, University of Oxford, Modulo Research, Stanford University, Federal Reserve Bank of Chicago, ETH Zürich, University of Johannesburg
Research Area: Natural Language Processing
Discipline: Social Science, Artificial Intelligence
This paper compares a frontier LLM (Claude Sonnet 3.5) against incentivized human persuaders in a conversational quiz setting, finding that the AI's persuasion capabilities surpass those of humans with real-money bonuses tied to performance.
Citations: 16
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Authors: P Thwaites, N Vandeweerd, M Paquot
Year: 2025
Published in: Applied Linguistics, 2025 - academic.oup.com
Institution: University College Londonouvain, Radboud University Nijmegen, Fonds de la Recherche Scientifique – FNRS
Research Area: Applied Linguistics, Educational Assessment, Crowdsourcing
Discipline: Applied Linguistics
The study demonstrates that crowdsourcing platforms can recruit judges to evaluate learner texts with reliability and validity comparable to assessments conducted by trained linguists.
Methods: Judges recruited via an online crowdsourcing platform conducted comparative judgement assessments of learner texts to measure writing proficiency.
Key Findings: Reliability and concurrent validity of learner text evaluations performed via crowdsourced judges compared to linguist evaluations.
Citations: 10
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Authors: C Heath, JM Williams, D Leightley
Year: 2025
Published in: JMIR mHealth and ..., 2025 - mhealth.jmir.org
Institution: Swansea University, King's College London, Reykjavík University
Research Area: mHealth Interventions, Crowdsourcing, Social Media Recruitment, Mental Health Research (PTSD, Harmful Gambling)
Discipline: Digital Health, Mental Health Research
Social media and online platforms like Facebook and Prolific were effective but faced challenges in recruiting and retaining military veterans with PTSD or harmful gambling for a digital mHealth intervention pilot study.
Methods: Multiple recruitment strategies were used, including paid and unpaid advertisements on Facebook, Prolific, direct mailing, event hosting with veterans' charities, snowball sampling, and incentives.
Key Findings: The effectiveness of different recruitment strategies for enrolling military veterans with PTSD or harmful gambling into a digital intervention study.
Sample Size: 79
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Authors: HR Kirk, M Bartolo, A Whitefield, P Rottger
Year: 2024
Published in: Advances in ..., 2024 - proceedings.neurips.cc
Institution: Meta, Cohere, AWS AI Labs, Contextual AI, Factored AI, University of Oxford, Bocconi University, Meedan, Hugging Face, University College London, ML Commons, University of Pennsylvania
Research Area: LLM Alignment, Human Feedback, Multicultural Studies
Discipline: Artificial Intelligence, Computational Social Science
The PRISM Alignment Dataset presents a large-scale, culturally diverse human feedback dataset linking sociodemographic profiles of 1,500 participants from 75 countries to their contextual preferences and fine‑grained ratings in 8,011 live conversations with 21 LLMs. This enables analysis of how subjective values vary across people and cultures in LLM alignment data.
DOI: https://doi.org/10.52202/079017-3342
Citations: 204
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Authors: AYJ Ha, J Passananti, R Bhaskar, S Shan
Year: 2024
Published in: Proceedings of the ..., 2024 - dl.acm.org
Institution: University of California Santa Barbara, The University of Chicago, Institute of Education, University College London
Research Area: Human-Computer Interaction, Generative AI, Digital Forensics
Discipline: Human-Computer Interaction, Generative AI, Digital Forensics
The paper investigates the effectiveness of different approaches, including both human and automated detectors, in distinguishing human art from AI-generated images, finding that a combination of methods offers the best performance despite persistent weaknesses.
Methods: Comparison of human art across 7 styles with AI-generated images from 5 generative models, assessed using 5 automated detectors and 3 human groups (crowdworkers, professional artists, expert artists).
Key Findings: Detection accuracy and robustness of human and automated methods in identifying AI-generated images under benign and adversarial conditions.
DOI: 10.1145/3658644.3670306
Citations: 52
Sample Size: 3993
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Authors: RA Stone, A Brown, F Douglas, M Green, E Hunter, M Lonnie, AM Johnstone, CA Hardman, FIO-Food Team
Year: 2024
Published in: Science Direct
Institution: Robert Gordon University, University College London, University of Aberdeen, University of Liverpool
Research Area: Food Insecurity, Public Health, Behavioral Economics (focusing on food purchasing behaviors and preparation practices related to obesity, cost of living)
Discipline: Public Health
The study examines how the UK cost of living crisis affects food purchasing and preparation behaviors in people with obesity, highlighting food insecurity and associated coping strategies, and calls for policy interventions to improve access to healthy foods.
Methods: An online survey was conducted with self-reported data on food insecurity, diet quality, cost of living impact, and food purchasing/preparation behaviors among adults with BMI ≥30 kg/m2 in England or Scotland.
Key Findings: Food insecurity, diet quality, impacts of the cost of living crisis, food purchasing behaviors, and food preparation practices among participants.
Citations: 46
Sample Size: 583
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Authors: C Clemmow, I van der Vegt, B Rottweiler
Year: 2024
Published in: ... and political violence, 2024 - Taylor & Francis
Institution: University College London
Research Area: Crowdsourcing for Violent Extremism Research
Discipline: Computational Social Science
Citations: 12
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Authors: V Cheung, M Maier, F Lieder
Year: 2024
Published in: Psyarxiv preprint, 2024 - files.osf.io
Institution: University College LondonA
Research Area: AI Ethics, Moral Decision-Making, Cognitive Biases in LLMs, AI Bias
Discipline: Artificial Intelligence, Ethics
Citations: 11
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Authors: M Glickman, T Sharot
Year: 2023
Published in: Nature Human Behaviour, 2025 - nature.com
Institution: Max Planck University College London Centre, University College London, Affective Brain Lab
Research Area: Human-AI Feedback Loops, Perceptual and Emotional Judgement, Social Psychology
Discipline: Social Science, Psychology
Citations: 180
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Authors: HR Kirk, B Vidgen, P Röttger, SA Hale
Year: 2023
Published in: arXiv preprint arXiv:2303.05453, 2023 - arxiv.org
Institution: The Alan Turing Institute, University of Oxford, Imperial College London, King's College London, Google DeepMind
Research Area: Large Language Model Alignment, Safety, Personalization Risks
Discipline: Artificial Intelligence
DOI: https://doi.org/10.48550/arXiv.2303.05453
Citations: 146
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Authors: H Bai, J Voelkel, J Eichstaedt, R Willer
Year: 2023
Published in: 2023 - researchsquare.com
Institution: Stanford University, London Business School, Dartmouth College, Stanford Graduate School of Business
Research Area: Political Persuasion, Social Influence of AI, Cognitive Science
Discipline: Political Science, Social Science
Citations: 100
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Authors: T Hosking, P Blunsom, M Bartolo
Year: 2023
Published in: arXiv preprint arXiv:2309.16349, 2023 - arxiv.org
Institution: Cohere, University of Edinburgh, University College London
Research Area: LLM Evaluation, Limitations of Human Preference Scores, Human-Computer Interaction (HCI) in AI Training
Discipline: Artificial Intelligence
DOI: https://doi.org/10.48550/arXiv.2309.16349
Citations: 72
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Authors: LD Griffin, B Kleinberg, M Mozes, KT Mai, M Vau
Year: 2023
Published in: arXiv preprint arXiv ..., 2023 - arxiv.org
Institution: University College London, Tilburg University
Research Area: LLM Influence, Psychology, Mental Health Research, Large Language Models
Discipline: Artificial Intelligence, Psychology
Citations: 30
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Authors: L Griffin, B Kleinberg, M Mozes, K Mai
Year: 2023
Published in: Proceedings of the ..., 2023 - aclanthology.org
Institution: University College London, Tilburg University
Research Area: LLM Influence and Persuasion, Large Language Models
Discipline: Social Science
Citations: 25
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Authors: V Kewenig, A Lampinen, SA Nastase
Year: 2023
Published in: arXiv preprint arXiv ..., 2023 - arxiv.org
Institution: University College London, Princeton University, Exeter University
Research Area: Computational Linguistics, Cognitive Science
Discipline: Computational Linguistics
DOI: https://doi.org/10.48550/arXiv.2308.06035
Citations: 3
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Authors: LE Ruis, A Khan, S Biderman, S Hooker, T Rocktäschel
Year: 2022
Published in: 2022 - openreview.net
Institution: MILA, University of Toronto, Stanford University, Hugging Face, Imperial College London
Research Area: Natural Language Processing, Large Language Models, Communication
Discipline: Natural Language Processing
Citations: 52
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Authors: T Van Nuenen, J Such, M Cote
Year: 2022
Published in: Proceedings of the ACM on human ..., 2022 - dl.acm.org
Institution: University of Surrey, King’s College London, Tilburg University, University of Amsterdam
Research Area: Intersectional Fairness, Automated Systems, Social Computing
Discipline: Computational Social Science
Citations: 23
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Authors: TXF Seow, TU Hauser
Year: 2022
Published in: Behavior research methods, 2022 - Springer
Institution: University College London, Max Planck University College London
Research Area: Behavioral Research Methods, Affective Computing, Web-based Experimentation
Discipline: Human-Computer Interaction
Citations: 23
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Authors: KT Mai, S Bray, T Davies, LD Griffin
Year: 2021
Published in: Plos one, 2023 - journals.plos.org
Institution: University College London
Research Area: Speech Processing, Digital Forensics, Perception Studies
Discipline: Human-Computer Interaction, Sound Processing, Audio, Speech Processing
Citations: 112
