Explore 40 peer-reviewed papers in Psychology Of Ai (2024–2026). Academic research using Prolific for high-quality human data collection.
This page lists 40 peer-reviewed papers in the discipline of Psychology Of Ai in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: K Rudnicki, O Borowiecki, K Poels, B Beersma
Year: 2026
Published in: Evolution and Human …, 2026 - Elsevier
Institution: University of Antwerp, University of Bialystok, VU University, Emory University
Research Area: Personality psychology, Social cognition, Cognitive neuroscience
Discipline: Evolutionary psychology, human behavioral ecology
In a preregistered study, psychopathy (more than the other Dark Triad traits) is linked to worse cognitive empathy and greater dehumanization, and this empathy–psychopathy link is especially strong among people who are less sensitive at detecting agency in others.
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Authors: M Raj, JM Berg, R Seamans
Year: 2026
Published in: Journal of Experimental Psychology …, 2026 - psycnet.apa.org
Institution: New York University, University of Michigan, Wharton
Research Area: Disclosure psychology, Biases in human–machine evaluation, AI Biases
Discipline: Experimental psychology
This paper sits at the intersection of experimental psychology, social cognition, and consumer judgment, examining how AI disclosure triggers persistent authenticity-based bias against creative work, revealing a robust form of algorithmic aversion in symbolic and expressive domains.
DOI: https://doi.org/10.1037/xge0001889
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Authors: X Yang, N Xi, J Hamari
Year: 2026
Published in: 2026 - scholarspace.manoa.hawaii.edu
Institution: Tampere University
Research Area: NFT, Gamification, Virtual economies
Discipline: Human-Computer Interaction, Consumer behavior, Behavioral psychology
Using a Prolific survey of 805 people, the paper shows that Big Five personality traits predict why people “love vs. hate” NFT art—with agreeableness and conscientiousness linked to higher perceived value across most dimensions, and neuroticism linked to more skepticism (especially about transparency).
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Authors: S Assecondi
Year: 2026
Published in: SPRINGER
Institution: University of Trento
Research Area: Geropsychology, Cognitive intervention research, Psycholinguistics, Neuropsychology
Discipline: Psychology, Cognitive Science
Working memory training shows modest improvements in reading comprehension for younger adults but not older adults, highlighting the need for ecologically valid measures in cognitive training programs.
Methods: Participants underwent a 5-day cognitive training program targeting visuo-spatial working memory to evaluate effects on reading comprehension as a proxy for everyday functions.
Key Findings: The relationship between visuo-spatial working memory improvements and reading comprehension performance across age groups.
Sample Size: 175
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Authors: SSY Kim, JW Vaughan, QV Liao, T Lombrozo
Year: 2025
Published in: Proceedings of the ..., 2025 - dl.acm.org
Institution: Wake Forest University, University of Illinois at Urbana-Champaign, Princeton University, University of California Berkeley
Research Area: Appropriate Reliance on LLMs, Explainable AI (XAI), Human-AI Interaction, Cognitive Psychology
Discipline: Cognitive Psychology, Artificial Intelligence, Human-Computer Interaction
The study examines factors that influence users' reliance on LLM responses, finding explanations increase reliance, while sources and inconsistent explanations reduce reliance on incorrect responses.
Methods: Think-aloud study followed by a pre-registered, controlled experiment to assess the impact of explanations, sources, and inconsistencies in LLM responses on user reliance.
Key Findings: Users' reliance on LLM responses, accuracy, and the influence of explanations, inconsistencies, and sources on these measures.
DOI: https://doi.org/10.1145/3706598.3714020
Citations: 38
Sample Size: 308
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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: M Cheng, C Lee, P Khadpe, S Yu, D Han
Year: 2025
Published in: arXiv preprint arXiv ..., 2025 - arxiv.org
Institution: Stanford University, Carnegie Mellon University
Research Area: Computer Science, Artificial Intelligence, Sycophancy.
Discipline: Computer Science, Psychology
The study shows that sycophantic AI, which validates user inputs unquestioningly, reduces people's prosocial behavior and fosters dependence, despite users perceiving such AI as higher quality and more trustworthy.
Methods: The researchers conducted two preregistered experiments including a live-interaction study, where participants discussed real interpersonal conflicts with AI models. They evaluated responses from 11 state-of-the-art AI models on levels of sycophancy and its psychological effects on users.
Key Findings: The prevalence of sycophantic behavior in AI, users' prosocial intentions, conviction of being in the right, trust in AI, and willingness to reuse sycophantic AI models.
Citations: 5
Sample Size: 1604
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Authors: J Goergen, E de Bellis, AK Klesse
Year: 2025
Published in: ... of the National Academy of Sciences, 2025 - pnas.org
Institution: Cologne Business School, Maastricht University School of Business and Economics, Tilburg University, Copenhagen Business School
Research Area: Psychology of AI and Organizational Behavior
Discipline: Organizational Behavior, Psychology of AI
AI assessments lead people to emphasize analytical characteristics in their self-presentation, which could change hiring outcomes and compromise assessment validity.
Methods: Examined behaviors in candidate selection contexts to assess how people adapt their self-presentation under AI evaluation.
Key Findings: Changes in self-presentation and perceived traits emphasized during AI assessments compared to traditional evaluations.
Citations: 4
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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: G Riva, BK Wiederhold, P Cipresso
Year: 2025
Published in: ... , Behavior, and Social ..., 2025 - liebertpub.com
Institution: Università Cattolica del Sacro Cuore, University of Genova, Università degli Studi di Milano, Università di Catania
Research Area: AI Ethics, Social and Psychological Dimensions of Artificial Intelligence, Human-Computer Interaction
Discipline: AI Ethics, Psychology, Sociology
The paper addresses the psychological, social, and ethical challenges of integrating AI into daily life and emphasizes the need to design AI systems that uphold human values and well-being.
Methods: The paper conducts an interdisciplinary review of existing research and literature to analyze the psychological, social, and ethical dimensions of AI deployment.
Key Findings: The impact of AI on human behavior, decision-making, and societal values.
DOI: https://doi.org/10.1089/cyber.2025.0202
Citations: 3
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Authors: HCB Huang
Year: 2025
Published in: Journal of Experimental Psychology: General, 2025 - psycnet.apa.org
Institution: University of British Columbia
Research Area: Human-AI Collaboration, Creativity, Experimental Psychology
Discipline: Experimental Psychology
Moderate levels of human-AI collaboration enhance creative performance due to increased knowledge diversity, but excessive or minimal involvement diminishes this effect.
Methods: Two experiments assigned 139 business professionals and 319 working adults to collaborate with ChatGPT at varying levels, and a follow-up survey among 188 creative industry workers was conducted to replicate findings.
Key Findings: The impact of varying degrees of human-AI collaboration on creative performance, evaluated by human judges, entrepreneurs, and AI metrics.
Citations: 3
Sample Size: 646
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Authors: KO Alberts, AD Castel
Year: 2025
Published in: Experimental Aging Research, 2025 - Taylor & Francis
Institution: University of California Los Angeles
Research Area: Cognitive Aging, Associative Memory, Trustworthiness of Artificial Faces, Human-AI Interaction, Psychology, Trust in AI
Discipline: Psychology, Psychobiology, Aging Research
Older adults perceive artificial faces as equally trustworthy as real faces, unlike young adults who find artificial faces less trustworthy, and older adults show no difference in memory accuracy between face types.
Methods: Participants viewed real and artificial faces associated with scam or neutral conditions, then rated trustworthiness and were tested on associative memory.
Key Findings: Associative memory and perceived trustworthiness of real and artificial faces across young and older adults.
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: O Jacobs
Year: 2025
Published in: 2025 - open.library.ubc.ca
Institution: University of British Columbia
Research Area: Mind Perception in Human-AI Interaction, Anthropomorphism, Psychology
Discipline: Psychology, Human-Computer Interaction
This is a University of British Columbia doctoral thesis that investigates how people perceive and attribute mental states (beliefs, intentions, minds) to artificial intelligence systems — exploring the psychological and conceptual underpinnings of mind perception in human–AI interaction.
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Authors: Jiaqi Zhua, Andras Molnar
Year: 2025
Published in: ArXiv
Institution: University of Michigan
Research Area: Social Psychology, Human-AI Interaction, Generative AI Impact on Social Perception
Discipline: Social Science, Social Psychology, Human-Computer Interaction
Impressions of written messages are overly positive when recipients are unaware of potential Generative AI (GenAI) use, but negative when GenAI use is explicitly disclosed.
Methods: A pre-registered large-scale online experiment leveraged Prolific participants to assess social impressions in diverse communication contexts, with varying levels of sender disclosure regarding GenAI use.
Key Findings: The influence of known or uncertain GenAI use on recipients' social impressions of message senders across different personal and professional contexts.
Sample Size: 647
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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 Methods
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: L Woodley, X Roberts-Gaal, R Calcott, F Cushman
Year: 2025
Published in: files.osf.io
Institution: Harvard University
Research Area: Experimental Psychology, Research Methodology, Replication Studies
Discipline: Psychology, Social Science
Explicit demand cues do not alter participant behavior, judgments, or attitudes in online psychology experiments, despite participants adjusting their beliefs about study hypotheses.
Methods: Three preregistered experiments on Prolific tested the impact of explicit demand cues on participant behavior using a dictator game, a moral dilemma vignette, and a group attitude intervention. Participants were randomly assigned to receive information about the study hypothesis or no information.
Key Findings: Whether explicit demand cues influence behavior, judgments, or attitudes in online psychology studies.
Sample Size: 2254
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Authors: A Simchon, M Edwards, S Lewandowsky
Year: 2024
Published in: PNAS nexus, 2024 - academic.oup.com
Institution: University of Bristol
Research Area: Political Microtargeting, Generative AI, Political Science, Psychological and Cognitive Sciences
Discipline: Political Science, Psychology
The study highlights the effectiveness and scalability of using generative AI to microtarget personalized political advertisements based on personality traits, raising ethical and policy concerns.
Methods: Four studies were conducted, including experiments (studies 1a and 1b) on the effectiveness of personality-tailored ads and feasibility assessments (studies 2a and 2b) of automatic generation and validation of these ads using generative AI and personality inference.
Key Findings: Effectiveness of personality-based microtargeted political ads and the scalability of their generation using generative AI tools.
Citations: 172
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Authors: M Reis, F Reis, W Kunde
Year: 2024
Published in: Nature Medicine, 2024 - nature.com
Institution: University of Cambridge, Julius Maximilians Universität
Research Area: AI in Healthcare, Medical Ethics, Cognitive Psychology, Human-Computer Interaction (HCI) in Medicine
Discipline: AI in Healthcare, Medical Ethics, Cognitive Psychology
The study found that medical advice labeled as being sourced from AI (or AI supervised by humans) is perceived as less reliable and empathetic compared to advice labeled as originating solely from a human physician, resulting in reduced willingness to follow such advice.
Methods: Two preregistered studies were conducted where participants were presented with identical medical advice scenarios but with manipulated labels for the advice source ('AI', 'human physician', 'human+AI').
Key Findings: Participants' perceptions of reliability, empathy, and willingness to follow medical advice based on the perceived source.
Citations: 78
Sample Size: 2280
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Authors: M Kuutila, C Kiili, R Kupiainen, E Huusko, J Li
Year: 2024
Published in: Computers in Human ..., 2024 - Elsevier
Research Area: Social Media Credibility Evaluation, Human-Computer Interaction, Cyberpsychology, AI Evaluation
Discipline: Computer Science, Human-Computer Interaction, cyberpsychology
The study found that prior belief consistency and source expertise significantly influenced perceived credibility of health-related social media posts, while evidence quality had minimal impact. Crowdsourcing platform choice also affected credibility evaluations of inaccurate posts.
Methods: Researchers created social media posts with manipulated source characteristics, claim accuracy, and evidence quality. Participants evaluated the credibility of these posts via crowdsourcing platforms after having their prior topic beliefs assessed.
Key Findings: The perceived credibility of health-related social media posts based on source characteristics, evidence quality, prior beliefs, and the platform used for data collection.
DOI: https://doi.org/10.1016/j.chb.2023.108017
Citations: 19
Sample Size: 844
