University Of Edinburgh: Research Institution — Prolific Citations Library

Browse 7 peer-reviewed papers from University Of Edinburgh spanning Human-Computer Interaction (HCI), Digital Health (2020–2025). Research powered by Prolific's high-quality participant data.

This page lists 7 peer-reviewed papers from researchers at University Of Edinburgh in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (7 of 7)

Beyond Face Value: Visual and Auditory Signals in Human and Machine Trust Judgments

Authors: N Tyulina, Y Yu, TA Emmanouil, SI Levitan

Year: 2025

Published in: Proceedings of the 7th ACM ..., 2025 - dl.acm.org

Institution: University of Cambridge, University of Bath, University of Edinburgh, New York University

Research Area: Human-AI Interaction, Trust and Perception, Nonverbal Communication

Discipline: Applied Linguistics

Trust judgments are primarily influenced by auditory cues in both humans and multimodal models, though subtle differences in modality weighting exist between them.

Methods: Behavioral experiment with trust ratings of bimodal stimuli across four trust congruence conditions, combined with a multimodal model trained using HuBERT and ResNet-50 with late fusion, analyzed using Permutation Feature Importance (PFI).

Key Findings: The construction of trust from visual and auditory signals in both humans and multimodal models, focusing on modality dominance and feature weighting.

Sample Size: 150
Designing optimal behavioral experiments using machine learning

Authors: S Valentin, S Kleinegesse, NR Bramley, P Seriès

Year: 2024

Published in: Elife, 2024 - elifesciences.org

Institution: University of Edinburgh, University of Cambridge

Research Area: Bayesian Optimal Experimental Design (BOED) in Behavioral Research

Discipline: Artificial Intelligence, Psychology

The paper presents a tutorial on using Bayesian optimal experimental design (BOED) and machine learning to design experiments that efficiently test and evaluate cognitive models, validated via simulations and a real-world case study of exploration-exploitation decision-making.

Methods: The paper employs Bayesian optimal experimental design (BOED) coupled with machine learning to identify optimal experimental configurations. Simulations and a real-world multi-armed bandit experiment are used for validation.

Key Findings: The capacity of BOED to distinguish between cognitive models, parameters explaining human behavior, and how people balance exploration and exploitation.

DOI: https://doi.org/10.7554/eLife.86224

Citations: 15
Experiences of Censorship on TikTok Across Marginalised Identities

Authors: Eddie L. Ungless, Nina Markl, Björn Ross

Year: 2024

Published in: ArXiv

Institution: University of Edinburgh, University of Essex

Research Area: Computational Social Science, Human-Computer Interaction (HCI), Media Studies

Discipline: Computational Social Science
Human feedback is not gold standard

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
How is online self-reported weight compared with image-captured weight? A comparative study using data from an online longitudinal study of young adults

Authors: MC Whatnall, KZ Kolokotroni, TE Fozard

Year: 2023

Published in: The American Journal of ..., 2023 - Elsevier

Institution: The University of Sheffield, The University of Edinburgh

Research Area: Public Health, Behavioral Science, Digital Health

Discipline: Clinical Nutrition, Public Health, Behavioral Science

Citations: 4
The impact of explanations on layperson trust in artificial intelligence-driven symptom checker apps: experimental study

Authors: C Woodcock, B Mittelstadt, D Busbridge

Year: 2021

Published in: Journal of medical Internet ..., 2021 - jmir.org

Institution: Oxford University, Alan Turing Institute, University of Edinburgh

Research Area: Health Informatics, Explainable AI (XAI), Trust in AI, Digital Health

Discipline: Digital Health

DOI: https://doi.org/10.2196/29386

Citations: 52
Which artificial intelligences do people care about most? A conjoint experiment on moral consideration

Authors: A Ladak, J Harris, JR Anthis

Year: 2020

Published in: Proceedings of the 2024 CHI Conference ..., 2024 - dl.acm.org

Institution: University of Cambridge, University of Bath, University of Edinburgh

Research Area: Moral consideration of AI, Conjoint Experiment, Human-Computer Interaction (HCI), Psychology

Discipline: Human-Computer Interaction (HCI)

DOI: 10.1145/3613904.3642403

Citations: 16