Browse 4 peer-reviewed papers from University Of Pittsburgh spanning Research Methodology, Responsible AI (2021–2025). Research powered by Prolific's high-quality participant data.
This page lists 4 peer-reviewed papers from researchers at University Of Pittsburgh in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: A Qian, R Shaw, L Dabbish, J Suh, H Shen
Year: 2025
Published in: arXiv preprint arXiv ..., 2025 - arxiv.org
Institution: Carnegie Mellon University, University of Pittsburgh, University of Utah, Yale School of Medicine, Yale University
Research Area: Responsible AI, Content Moderation, Risk Disclosure, Worker Well-being in Human-Computer Interaction (HCI).
Discipline: Computational Social Science, Human-Computer Interaction
The paper examines how task designers approach well-being risk disclosure in Responsible AI (RAI) content work, highlighting a need for better frameworks to communicate such risks effectively.
Methods: Interviews were conducted with 23 task designers from academic and industry sectors to gather insights on risk recognition, interpretation, and communication practices.
Key Findings: How task designers recognize, interpret, and communicate well-being risks in RAI content work.
Citations: 1
Sample Size: 23
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Authors: BA Mok, V Viswanathan, A Borjigin, R Singh
Year: 2024
Published in: Behavior Research ..., 2024 - Springer
Institution: Purdue University, University of Pittsburgh
Research Area: Psychoacoustics, Hearing Screening, Behavioral Research Methods
Discipline: Generating formulas is not supported. Please use the Gemini side panel instead.
The study demonstrates that web-based psychoacoustic experiments can produce results comparable to lab-based studies by addressing challenges like hearing screening and headphone standardization.
Methods: Web-based tests using jsPsych and Django for task implementation, Prolific for participant recruitment, hearing screening using a suprathreshold task and survey, and validation against lab-based data.
Key Findings: Classic psychoacoustic phenomena such as fundamental frequency discrimination, gap detection, interaural time delay and level difference sensitivity, word identification, consonant confusion patterns, and co-modulation masking release effect.
Citations: 28
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Authors: S Fang, A Juffs
Year: 2024
Published in: Routledge Handbook of Technological Advances ..., 2024 - taylorfrancis.com
Institution: University of Pittsburgh, The University of Auckland
Research Area: Second Language Acquisition, Psycholinguistics, Research Methodology
Discipline: Psycholinguistics
Citations: 2
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Authors: N Gupta, L Rigotti, A Wilson
Year: 2021
Published in: arXiv preprint arXiv:2107.05064, 2021 - arxiv.org
Institution: University of Cambridge, University of Verona, University of Oxford, University of Pittsburgh
Research Area: Experimental Design, Research Methodology, Inferential Statistics
Discipline: Social Science Research Methods
Citations: 104
