Discover 27 peer-reviewed studies in Behavioral Research (2022–2025). Explore research findings powered by Prolific's diverse participant panel.
This page lists 27 peer-reviewed papers in the research area of Behavioral Research in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: A Söderström, A Shatte
Year: 2025
Published in: Behavior Research ..., 2021 - Springer
Institution: University of Helsinki
Research Area: Intelligent Agents, Health Research Methodology, Behavioral Research
Discipline: Research Methodology, Behavioral Science
The study found that chatbot-assisted surveys modestly improve data quality, with most users finding the chatbots helpful and widely using them.
Methods: Randomized participants into chatbot-supported and unassisted survey conditions; assessed chatbot use, user satisfaction, and data quality via validated and deliberately confusing challenge items.
Key Findings: Effects of chatbot assistance on data quality, user satisfaction, and usage patterns in online questionnaires.
DOI: https://doi.org/10.3758/s13428-021-01574-w
Citations: 7
Sample Size: 300
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Authors: TS Behrend, RN Landers
Year: 2025
Published in: Journal of Business and Psychology, 2025 - Springer
Institution: University of Nebraska-Lincoln, University of Minnesota
Research Area: LLM in Behavioral Science Research, AI-Assisted Research Methodology
Discipline: Behavioral Science, Psychology, Artificial Intelligence
The paper proposes a framework with five use cases for integrating large language models into survey and experimental research, introduces the Qualtrics-AI Link (QUAIL) tool, and highlights technical and ethical considerations for using LLMs effectively and validly.
Methods: The paper outlines a decision-making framework for five potential uses of LLMs in survey and experimental design, introduces software (QUAIL) for integrating LLM knowledge into Qualtrics, and details technical steps such as prompt engineering, model testing, and validity monitoring.
Key Findings: Applications, implementation strategies, and ethical considerations of large language models in psychological research material development.
DOI: https://doi.org/10.1007/s10869-025-10035-6
Citations: 6
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Authors: N Byrd
Year: 2025
Published in: Byrd, N. (2025). Reflection-Philosophy Order Effects and Correlations Across Samples. Analysis. DOI: 10.1093/analys/anaf015. https://osf.io/preprints/psyarxiv/y8sdm
Institution: Stevens Institute of Technology
Research Area: Behavioral Research Methods, Experimental Psychology, Crowdsourcing Platforms
Discipline: Psychology
Reflective reasoning correlates with certain philosophical decisions, and the study suggests bidirectional causal paths between reflection and philosophy, with test order effects influencing reflection test outcomes but not philosophical decisions.
Methods: Participants from four sources (Amazon Mechanical Turk, CloudResearch, Prolific, and a university) were tested on reflective reasoning and their decisions on 10 philosophical thought experiments.
Key Findings: Impact of reflective reasoning on philosophical decisions and the effect of test order on reflection and philosophy outcomes.
Citations: 4
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Authors: Y Ba, MV Mancenido, EK Chiou, R Pan
Year: 2025
Published in: Behavior Research Methods, 2025 - Springer
Institution: University of Delaware, National Taiwan University, University of British Columbia, Monash University
Research Area: Crowdsourcing, Data Quality, Spamming Behavior Detection, LLM Applications in Behavioral Research
Discipline: Computer Science, Artificial Intelligence, LLM
The paper introduces a systematic method to evaluate crowdsourced data quality and detect spam behaviors through variance decomposition, proposing a spammer index and credibility metrics to improve consistency and reliability in labeling tasks.
Methods: Variance decomposition, Markov chain models, and generalized random effects models were used to assess annotator consistency and credibility; metrics were applied to both simulated and real-world data from two crowdsourcing platforms.
Key Findings: Quality of crowdsourced data, spammer behaviors, annotators’ consistency, and credibility.
Citations: 2
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Authors: L S. Treiman, CJ Ho, W Kool
Year: 2025
Published in: Proceedings of the 2025 ACM Conference ..., 2025 - dl.acm.org
Institution: Washington University in St. Louis, National Cheng Kung University
Research Area: Human-AI Interaction, Cognitive Science, Behavioral Research in AI Training
Discipline: Human-Computer Interaction (HCI), Behavioral Science
Participants tend to rely on intuition (fast thinking) rather than deliberation (slow thinking) when training AI agents in the ultimatum game, impacting human-AI collaboration system design.
Methods: Participants trained an AI agent in the ultimatum game to analyze whether their training decisions aligned more with intuitive or deliberative cognitive processes.
Key Findings: The cognitive processes (fast vs. slow thinking) underlying human decision-making during AI training.
DOI: https://dl.acm.org/doi/abs/10.1145/3715275.3732177
Citations: 1
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Authors: DT Esch, N Mylonopoulos, V Theoharakis
Year: 2025
Published in: Behavior Research Methods, 2025 - Springer
Institution: University of Cologne, University of Piraeus, Aristotle University of Thessaloniki
Research Area: Crowdsourcing Behavioral Research, Mobile Data Collection
Discipline: Behavioral Research
Mobile-based responses via platforms like Pollfish are comparable in quality to computer-based ones from MTurk and Prolific, though attentiveness varies significantly across platforms and is influenced by factors like incentives, distractions, and system 1 thinking.
Methods: Conducted two studies distributing the same survey across MTurk, Prolific, Pollfish, and Qualtrics panels to compare data quality and analyze attentiveness scores.
Key Findings: Attentiveness, device usage (mobile vs. computer), and factors influencing data quality such as incentives, respondent activity, distractions, and survey familiarity.
Citations: 1
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Authors: M Brassil, É Duncan, C Greene, B Mac Síthigh
Year: 2025
Published in: 2025 - osf.io
Institution: University College Dublin
Research Area: Eyewitness Memory, Misinformation Effect, Behavioral Research Methods, Online Data Collection Platforms
Discipline: Psychology
The study found that data collection contexts significantly influence susceptibility to eyewitness misinformation, with Prolific participants being less accurate and more susceptible compared to Laboratory or general online participants.
Methods: Two studies were conducted comparing eyewitness misinformation susceptibility across Laboratory, Prolific, and General Online participant groups under varying visual perceptual load conditions.
Key Findings: Eyewitness misinformation susceptibility and recall accuracy across Laboratory, Prolific, and General Online participant groups; the effect of visual perceptual load on recall accuracy.
Citations: 1
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Authors: F Joessel, S Denkinger, PE Joessel, CS Green
Year: 2025
Published in: Acta Psychologica, 2025 - Elsevier
Institution: Max Planck Institute, University of Potsdam, University of Maryland, University of Zurich, University of Arizona
Research Area: Online cognitive training, Automated psychological studies, Crowdsourcing, behavioral research
Discipline: Psychology
The study introduces a fully online method for conducting cognitive training experiments using Prolific, significantly reducing resource demands while achieving robust results and diverse participant recruitment.
Methods: Participants were recruited via Prolific, assigned to groups using a pseudo-randomized procedure, and completed a 12-hour remote cognitive training study with pre- and post-test assessments monitored via custom dashboards.
Key Findings: Impact of a 12-hour cognitive training intervention on participants' cognitive functions, conducted in a remote and automated manner.
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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 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
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Authors: E Becks, V Matkovic, T Weis
Year: 2024
Published in: 2025 IEEE International Conference on ..., 2025 - computer.org
Institution: University of Stuttgart, University of Applied Sciences Offenburg, University of Hohenheim
Research Area: Crowdsourced Online Studies, Human-Computer Interaction (HCI) in AI Systems, Behavioral Research Methodology
Discipline: Human-Computer Interaction (HCI)
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Authors: BD Douglas, PJ Ewell, M Brauer
Year: 2023
Published in: Plos one, 2023 - journals.plos.org
Institution: University of Alabama, University of Wisconsin-Madison, Florida Atlantic University
Research Area: Social Science Research Methods, Behavioral Research, Data Quality in Crowdsourcing
Discipline: Social Science Research Methods
Citations: 1598
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Authors: S Zorowitz, J Solis, Y Niv, D Bennett
Year: 2023
Published in: Nature human behaviour, 2023 - nature.com
Institution: Princeton University, Rutgers University, Monash University
Research Area: Research Methodology, Behavioral Research, Experimental Psychology (focus on data quality and spurious correlations)
Discipline: Behavioral Science
DOI: https://doi.org/10.1038/s41562-023-01640-7
Citations: 110
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Authors: K Uittenhove, S Jeanneret, E Vergauwe
Year: 2023
Published in: Journal of Cognition, 2023 - pmc.ncbi.nlm.nih.gov
Institution: University of Lausanne, University of Geneva, EPFL, University of Neuchâtel, NiH
Research Area: Cognitive Psychology, Research Methodology, Behavioral Research Methods, Web-based Behavioral Research
Discipline: Cognitive Research, Psychology
Citations: 83
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Authors: N Gagné, L Franzen
Year: 2023
Published in: ... Open: the official journal of the ..., 2023 - swisspsychologyopen.com
Institution: Concordia University, University of Lübeck
Research Area: Cognitive Psychology, Neuroscience, Behavioral Research Methods
Discipline: Cognitive Psychology, Neuroscience
Citations: 75
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Authors: J Tomczak, A Gordon, J Adams, JS Pickering
Year: 2023
Published in: Frontiers in Human ..., 2023 - frontiersin.org
Institution: Prolific, University of Leeds, Gorilla
Research Area: Online Research Protocols, Human Neuroscience, Behavioral Research
Discipline: Human Neuroscience
Citations: 31
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Authors: R Kapitany, C Kavanagh
Year: 2023
Published in: 2023 - OSF
Research Area: Crowdsourcing ethics, best practices in behavioral science research
Discipline: Behavioral Science
Citations: 4
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Authors: E Peer, D Rothschild, A Gordon, E Damer
Year: 2022
Published in: Behavior Research Methods, 2022 - Springer
Institution: The Hebrew University of Jerusalem, Microsoft Research, Prolific
Research Area: Online Behavioral Research, Data Quality, Research Methods
Discipline: Computational Social Science, Behavioral Research
Citations: 2112
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Authors: K Stanton, RW Carpenter, M Nance
Year: 2022
Published in: Experimental and ..., 2022 - psycnet.apa.org
Institution: University of Missouri-Columbia, University of Texas at Austin
Research Area: Psychometric Substance Use Research, Behavioral Research Methods
Discipline: Psychology
Citations: 111
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Authors: S Mathôt, J March
Year: 2022
Published in: Language Learning, 2022 - Wiley Online Library
Institution: Ghent University, KU Leuven
Research Area: Online experimental methodology, Psycholinguistics, Behavioral research tools
Discipline: Psycholinguistics
Citations: 76