Browse 6 peer-reviewed papers from University Of Waterloo spanning Human-Computer Interaction (HCI), Computational Social Science (2022–2025). Research powered by Prolific's high-quality participant data.
This page lists 6 peer-reviewed papers from researchers at University Of Waterloo in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: Y Ding, J You, TK Machulla, J Jacobs, P Sen
Year: 2025
Published in: Proceedings of the ..., 2022 - dl.acm.org
Institution: University of California Irvine, University of Florida, State University of New York at Buffalo, University of Waterloo, Virginia Tech
Research Area: Computational Social Science, Human-Computer Interaction (HCI), Sentiment Analysis
Discipline: Computational Social Science
Demographic differences among annotators significantly affect sentiment dataset labels, causing up to a 4.5% accuracy difference in sentiment prediction models.
Methods: Crowdsourced annotations from >1000 workers combined with demographic data; analysis of multimodal sentiment datasets and evaluation using machine learning models.
Key Findings: Impact of annotator demographics on sentiment labeling and its effect on model predictions.
DOI: https://doi.org/10.1145/3555632
Citations: 28
Sample Size: 1000
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Authors: S Lodoen, A Orchard
Year: 2025
Published in: arXiv preprint arXiv:2505.09576, 2025 - arxiv.org
Institution: Embry–Riddle Aeronautical University, University of Waterloo
Research Area: Reinforcement Learning from Human Feedback (RLHF), Procedural Rhetoric, LLM Persuasion, Ethics
Discipline: Artificial Intelligence, AI Ethics, Social Science
The paper uses procedural rhetoric to analyze how RLHF reshapes ethical, social, and rhetorical dimensions of generative AI interactions, raising concerns about biases, hegemonic language, and human relationships.
Methods: The study conducts a theoretical and rhetorical analysis based on Ian Bogost's concept of procedural rhetoric, examining how RLHF mechanisms influence language conventions, information practices, and social expectations.
Key Findings: Ethical and rhetorical implications of RLHF-enhanced LLMs on language usage, information seeking, and interpersonal dynamics.
DOI: https://doi.org/10.48550/arXiv.2505.09576
Citations: 3
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Authors: DA Albert, D Smilek
Year: 2024
Published in: Scientific Reports, 2023 - nature.com
Institution: University of Waterloo, University of Waterloo
Research Area: Crowdsourcing Research Methods, Behavioral Science, Human-Computer Interaction (HCI)
Discipline: Psychological Science
Prolific participants exhibited lower levels of attentional disengagement compared to MTurk participants, with risk conditions and platform traits influencing task performance and disengagement.
Methods: Participants from Prolific and MTurk completed an attention task with varying error risk levels (high vs. low), and attentional disengagement was measured using task performance, self-reported mind wandering, and multitasking.
Key Findings: Attentional disengagement through task performance, mind wandering, and multitasking under different risk conditions across two recruitment platforms (Prolific and MTurk).
Citations: 150
Sample Size: 80
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Authors: M Ku, T Li, K Zhang, Y Lu, X Fu, W Zhuang
Year: 2024
Published in: - arXiv preprint arXiv …, 2023 - arxiv.org
Institution: University of Waterloo, Ohio State University, University of California Santa Barbara, University of Pensylvania
Research Area: AI alignment, Representation learning, Cognitive computational modeling, Vision foundation models evaluation, Multimodal, Vision models
Discipline: Computer Science, Artificial Intelligence, Machine Learning
This paper presents a method for **aligning machine vision model representations with human visual similarity judgments across different abstraction levels, improving how well models reflect human perceptual and conceptual organization and enhancing generalization and uncertainty prediction.
DOI: https://doi.org/10.48550/arXiv.2310.01596
Citations: 59
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Authors: Nikhita Joshi, Daniel Vogel
Year: 2024
Published in: ArXiv
Institution: University of Waterloo
Research Area: Human-Computer Interaction (HCI)
Discipline: Human-Computer Interaction (HCI)
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Authors: SX Li, R Halabi, R Selvarajan, M Woerner
Year: 2022
Published in: JMIR Formative ..., 2022 - formative.jmir.org
Institution: Massachusetts General Hospital, Harvard Medical School, Boston University, University of Waterloo
Research Area: Digital Health, Remote Research Methods, Recruitment and Retention Studies
Discipline: Digital Health, Research Methodology
Citations: 19