Can AI language models replace human participants?

Cited by (410)

Items 301–400 of 410

1. Large language models complement human participants through role simulation
   Zhicheng Lin · 2024
2. Constraint satisfaction in large language models
   Cassandra L. Jacobs, Maryellen C. MacDonald · 2024
3. Who is Legion?: Surfacing Demographic Voices in Large Language Models
   Derek Koehl · 2024 · SSRN Electronic Journal
4. The first plug-and-play and push-button solutions for human and silicon experiments
   olivier kamoun, Udi Sommer · 2024 · SSRN Electronic Journal
5. Chrono-Sampling: Generative AI Enabled Time Machine for Public Opinion Data Collection
   Eduardo Ryô Tamaki, Levente Littvay · 2024 · PsyArXiv (OSF Preprints)
6. AI-Facilitation for Consensus-Building by Virtual Discussion Using Large Language Models
   Tadayuki Matsumura, Takeshi Kato, Yasuhiro Asa, Kanako Esaki, Ryuji Mine, Hiroyuki Mizuno · 2024 · Lecture notes in computer science
7. AI as a Research Proxy: Navigating the New Frontier of Social Science Inquiry through Language Models
   Рафикова Антонина Семеновна, А. Н. Воронин · 2024 · Research Square
8. Agent-Enhanced Large Language Models for Researching Political Institutions
   Joseph Loffredo, Suyeol Yun · 2024 · SSRN Electronic Journal
9. A Literature Review of New Direction in Implicit and Explicit Stereotypes Researches
   Yicheng Zhu · 2024 · Journal of Education Humanities and Social Sciences
10. The Negotiation Trap An Experiment on a Large Language Model
    Christoph Engel · 2024 · SSRN Electronic Journal
11. Prompt Engineering Guidelines for Economic Research *
    Éric Vansteenberghe · 2025 · SSRN Electronic Journal
12. Revolutionizing Market Research with Artificial Intelligence
    Jorn K. Teutloff · 2025 · IGI Global eBooks
13. Evidence of conceptual mastery in the application of rules by Large Language Models
    José Luiz Nunes, Guilherme Almeida, Brian Flanagan · 2025 · SSRN Electronic Journal
14. Can large language models overcome opportunistic behavior in the prisoner's dilemma?
    Ting Kang · 2025 · Advances in Engineering Research Possibilities and Challenges
15. To Exploit Behavioral Science in the Public Interest, It Is Essential to Get Rid of Distinct Myths
    Klaus Fiedler, Florian Scholten · 2025 · Springer eBooks
16. Beyond Stochastic Parroting: LLMs' Human-Like Behavioral Biases Emerge from Linear Neural Representations
    Yan Leng, Trung Nguyen · 2025 · SSRN Electronic Journal
17. Philosophical Significance of Artificial Intuitions
    Kiichi Inarimori, Masashi Takeshita, Arata Matsuda, Kengo Miyazono · 2026 · Erkenntnis
18. On replacing humans with human simulators in human-in-the-loop systems built to interact with humans
    Shih-Hong Huang, Ting-Hao Huang · 2025 · Elsevier eBooks
19. Digital Imprints and Mitigating Persistent Ai Biases Through Federated Learning
    Marko R. Jocic, James Davis · 2025 · SSRN Electronic Journal
20. Once Upon a Time: Introducing the Historical Values Survey
    Mahdi Khesali, Stefan Voigt, Nadia von Jacobi · 2025 · SSRN Electronic Journal
21. AI Behavioral Science
    Matthew O. Jackson, Qiaozhu Mei, Stephanie Wang, Yutong Xie, Walter Yuan, Seth G. Benzell, Erik Brynjolfsson, James A. Evans, Brian Jabarian, Jon Michael Kleinberg et al. · 2025 · SSRN Electronic Journal
22. Simulating narrative identity with large language models: a multi-study examination of linguistic and psychological patterns
    Yutong Li · 2026 · Journal of Research in Personality
23. Passing the Turing Test: Fine-tuned AI feedback is less detectable than human or prompt-engineered feedback
    Peter A. M. Ruijten, Manuel Oliveira · 2025 · Research Square
24. Law, Justice, and Artificial Intelligence
    Ori Katz, Eyal Zamir · 2025 · SSRN Electronic Journal
25. Infusing Organizational Memory in Marketing Analytics with LLM-Enhanced AutoML
    Lin Lei, Chenyu Huang, Wenzhe Mao, Dongdong Ge, P.K. Kannan · 2025 · SSRN Electronic Journal
26. Empirical Examination of Large Language Models in Regional Psychological Structures Simulation: Personality and Well-being
    Xing Zhou, Jiahong Zheng · 2025 · Research Square
27. Biased decisions of Large Language Models (LLM): Computer control agents and the decoy effect
    Kevin Bösch · 2026 · Journal of Behavioral and Experimental Economics
28. GENERATIVE ARTIFICIAL INTELLIGENCE: LEGAL CHALLENGES REGARDING COPYRIGHT IN THE USE OF CHATBOTS
    José dos Santos Machado, Francisco Sandro Rodrigues Holanda, Valdir Ribeiro Pimenta Neto, Adauto Cavalcante Menezes · 2025 · Revista Foco
29. Emergent Moral Representations in Large Language Models Aligns with Human Conceptual, Neural, and Behavioral Moral Structure
    Behnam Karami, Fatemeh Zandi, Javad Hatami · 2025 · Research Square
30. A Study of Suppression Strategies for AI Hallucinations in Personal Learning Scenarios
    Xiaowen Man · 2025 · International Conference on Image Processing, Intelligent Control and Computer Engineering (IPICE)
31. Contextual assembly of lexical functions in large language models
    Christopher T. Kello, Polyphony Bruna, Kanly Thao · 2025 · Behavior Research Methods
32. Artificial research participants in behavioral science
    Vincent A. Medina, Mrityunjay Mohan · 2025 · Journal of Ethics in Entrepreneurship and Technology
33. Moral reasoning and synthetic judgment in large language models
    Thierry Poibeau · 2025 · Ubiquity Press eBooks
34. AI Simulations of Audience Attitudes and Policy Preferences: “Silicon Sampling” Guidance for Communications Practitioners
    John Wihbey, Samantha D'Alonzo · 2025 · SSRN Electronic Journal
35. How to maximize the creativity of artificial intelligence: an experimental analysis of response order and prompting effects
    Vikram Arora, A. Sutoski, Joelle Boilard, E. Leone, Hannah Zizzo, Bo-Rong Wang, G. Calic, S. Parpia, M. Bhandari, A. Thabane · 2025 · Ai & Society
36. Creativity, Innovation, and Knowledge Creation in the Era of Generative Artificial Intelligence: Challenging Human Intelligence
    Namita Jain, Asha Thomas, Vikas Gupta, Ewa Prałat · 2025 · Global Business and Organizational Excellence
37. Can AI Take Our Surveys for Us? Evaluating LLMs as Stand-ins for Human Respondents
    Jinpeng Wang, Mengying Gong, Yiying Li · 2025 · International Conference on E-business, Management and Economics (ICEME)
38. An entropic explanation of insistence on sameness in autism
    Przemysław Śliwiński · 2026 · Frontiers in Computational Neuroscience
39. Surveying with AI: Simulating Human Responses Using Personalized LLM Agents and Social Media Data
    Shuxi Liang, Haolin Ren, Tianze Zhang, Xiaofan Liu, Zhimeng Yin, Daning Hu · 2025 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
40. LLM-Simulated Nonequivalent Groups With Anchor Test: A Novel Approach for Test Equating in the Absence of Traditional Anchor Items
    Junlei Du, Yishen Song, Qinhua Zheng · 2026 · IEEE Transactions on Learning Technologies
41. Rethinking Cars for Sustainable Mobility: How Large Language Models Can Leverage Change
    Stephan Jüngling, Said M. Easa, Dominik Wörner, Gordana Kierans · 2026 · Communications in computer and information science
42. Algorithms have algorithm aversion
    Nazmiye Guler, Michael J. Cahalane, Sam Kirshner, Richard T. Vidgen · 2026 · Industrial Management & Data Systems
43. A perspective on using large language models for human data in human-water research: Why we should be cautious?
    Fredrik Schück · 2026 · Frontiers in Water
44. Beyond human proxies: The roles and usefulness of large language models in user research for mobility service development
    Eetu Wallius, Esko Lehtonen · 2026 · Transportation Research Interdisciplinary Perspectives
45. Can AI reflect public opinion? Evidence from replicating Hainmueller and Hopkins’ immigration experiment with LLMs
    Yajing Chen, Ming Lei, Zhanyu Liu, Man Tang, Jie She · 2026 · Computers in Human Behavior
46. The Role of Designers in Human–AI Collaborative Design: Capturing the New Patterns in AI4UX Framework
    Wei Wang, Yijing Yang, Zhilong Luan · 2026 · Design for Augmented Humanity
47. Can Machines Think Like Humans: A Behavioral Evaluation of LLM Agents in Dictator Games
    Ji Ma · 2026 · VOLUNTAS International Journal of Voluntary and Nonprofit Organizations
48. Integrating machine behavior into human subject experiments: a user-friendly toolkit and an application to framed prisoner’s dilemmas
    Christoph Engel, Max R. P. Grossmann, Axel Ockenfels · 2025 · Experimental Economics
49. Simulating Ideological Deadlock: Persona Stability and Conflict Resolution in LLM-Based Multi-Agent Frameworks
    Pantaleon Fassbender · 2026 · Research Square
50. Effective and responsible use of large language models in strategic wargaming
    Herwin Meerveld, Henry Brighton, Roy H. A. Lindelauf, Marie Postma · 2026 · The Journal of Defense Modeling and Simulation Applications Methodology Technology
51. From Design to Induction: A New Paradigm for Respondent-Centric Psychological Scale Generation
    Yuchen Han, Wenqing Zhang, Yuqing Sun · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
52. Modeling the joint impact of human and AI metacognitive sensitivity on human–AI collaboration
    ZhaoBin Li, Mark Steyvers · 2026 · Journal of Mathematical Psychology
53. AI meets engineering ingenuity: how AI capability enhances innovation performance through decision-making quality
    Ling Xiang, Fuda Li · 2026 · Engineering Construction & Architectural Management
54. Decoding and controlling emotion in LLMs through human-aligned representational geometry with enhanced interpretability
    Xiuwen Wu, Hao Wang, Zhiang Yan, Tang Xiaohan, Pengfei Xu, Wai Ting Siok, Ping Li, Jia‐Hong Gao, Bingjiang Lyu, Lang Qin · 2026 · Computers in Human Behavior
55. Tasting Emotions with GPT-4o: Comparing AI and Human Norms in Metaphoric Associations
    Yanyun Zhou, Wei Li, Chi‐Shing Tse, Jiushu Xie, Yanli HUANG · 2026 · Cognitive Computation
56. Simulating Lay Health-Seeking Behavior with LLM Personas and Illness Vignettes: Reproducibility, Prompt Sensitivity, and Slice Dependence
    Yuusuke Harada · 2026 · Qeios
57. Assessment of LLMs for Generating Synthetic Health-Related Quality-of-Life Survey Responses Among U.S. Adults
    Seungkook Baek, Sunghyun Lee, Hyungjin Kim, Sungchul Park · 2026 · American Journal of Preventive Medicine
58. Editorial: Advances in generative artificial intelligence for mental health
    Nuo Han, Zengda Guan, Ang Li, Xiaoqian Liu, X D Liu, Jia Xue · 2026 · Frontiers in Digital Health
59. Designing the content component of immersive blended science learning: a CAMIL-grounded framework refined and pre-validated by a simulated multi-model Delphi panel
    Oleksandra M. Sokolyuk · 2026 · CTE Workshop Proceedings
60. Can phonological descriptions trigger visual iconic mappings? Vision Language Models reveal the necessity of visual grounding and direct visual perception
    Yue Zou, Philip Thierfelder · 2026 · SSRN Electronic Journal
61. AI Automatons: AI Systems Intended to Imitate Humans
    Alexandra Olteanu, Solon Barocas, Su Lin Blodgett, Lisa Egede, Alicia DeVrio, Myra Cheng · 2026 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
62. The Ethics of Using Artificial Intelligence in Qualitative Research
    T. V. Bogdanov · 2026 · Inter
63. Humanos frente a tres modelos del lenguaje en educación patrimonial: un análisis comparativo mediante la escala Q-HeriLearn
    Víctor E. Gil-Biraud, Pablo de Castro, Olaia Fontal Merillas · 2026 · Ense�anza de las Ciencias Sociales
64. The IN-OUT Framework for Studying Blackbox LLMs via Human-AI Interaction: Behaviorism in the Digital World
    Jan Grenzebach, Thea Radüntz · 2026 · Lecture notes in computer science
65. Minimal Viable Cognitive Agent (MVCA): Building a glass-box LLM cognitive architecture for testing process theories in Agent psychonomicus
    Jack Chen, WeiHeng Xiao · 2026 · SSRN Electronic Journal
66. Synthetic data and digital twins: The hype, the facts, the promise
    Olivier Toubia · 2026 · Current Opinion in Psychology
67. Beyond Simulation: A Task- and Persona-Adaptive Framework for AI in UX Evaluation
    Mengyan Guo, J . Jenny Li, Yao Cheng, Zehui Jin, Luping Wang · 2026 · Communications in computer and information science
68. Simulating Sensitivity: A Simpson’s Paradox in Large Language Model-Based Creative Practitioner Modeling
    Hiroki Fujiwara, Daisuke Kasai, Toshitaka GOTO, Ken‐ichi Tabei · 2026 · Creativity and Cognition
69. Beyond words: How LLMs mirror human needs and values generating synthetic data
    Berta Chulvi, José Ángel Gonzalez, Lara Fontanella, Francisco Rangel · 2026 · Big Data & Society
70. Automating the Scientist? Perspektiven der Fachgruppe Methoden und Evaluation auf die Nutzung von KI in der psychologischen Forschung
    Steffen Nestler, Sarah Humberg, Rudolf Debelak, Daniel W. Heck, Mirka Henninger, Manuel C. Voelkle, Susanne Frick, Julien Patrick Irmer, Florian Scharf, Andreas Frey · 2026 · Psychologische Rundschau
71. Can silicon citizens replace human respondents? Validating large language models against human choice and valuation data
    E.H. Cho, Juyong Lee · 2026 · SSRN Electronic Journal
72. Simulating insufficient effort responding with large language models: A persona-based prompt engineering approach
    Donghun Kim, Giryong Park, Jin Suk Park, Taehun Lee · 2026 · Behavior Research Methods
73. Time and risk preferences among generative AI systems
    Wangsuk Suh, Stephen Atlas · 2026 · Journal of Business Research
74. Human realignment
    Christoph Engel, Yoan Hermstrüwer, Alison Kim · 2026 · Artificial Intelligence and Law
75. 23Chapter 2 Building Sustainable Workforce Ecosystems in Latin America: Integrating Human, Artificial, and Collective Intelligence in Emerging Economies
    Jorge Isaac Lechuga Cardozo · 2026 · De Gruyter eBooks
76. Auditing LLM-based Synthetic Expert Panels for AHP: A Preregistered Benchmark and Prospective Order-randomization Test
    Howard Kim, Keuntae Cho · 2026 · SSRN Electronic Journal
77. Calibrated synthetic consumer panels for governed strategic market testing
    Oyindamola L. Lawal, Olamide F Orisakahunsi, Ogechi M. Ikeakaonwu, Elizabeth I. Igbodor, Adeyemi A. Adefisan-Williams, Ngozi B. Umoru, Saheed A. Adeniyi, Adeyemi A. Adefisan-Williams, Rukayat A. Olawaled and Elizabeth I. Igbodor, Priscilla Kuyet Ishaku · 2026 · Strategic Business Research
78. LLMs Do Not Emulate Populations
    B.S Green, Greg Leo · 2026 · SSRN Electronic Journal
79. Surveys and artificial intelligence: a new challenge for non-market economic valuation
    Ignacio Ramos, Mario Soliño · 2026 · Knowledge-Based Systems
80. Can Generative Large Language Models Serve as Raters for Test Development? A Systematic Evaluation Across Tasks, Models, and Inference Configurations
    Mina Son, Philseok Lee · 2026 · Organizational Research Methods
81. Declaring the machine: A disclosure policy on artificial intelligence for authors and reviewers
    Dragoş Iliescu, Samuel Greiff · 2026 · Intelligence
82. Can large language models replace human surveys in geospatial studies? A case of vague cognitive regions
    Yue Lin, Ningchuan Xiao · 2026 · Spatial Cognition and Computation
83. Artificial intelligence agents are responsive to identity cues in persuasive health communication
    Xiaoli Nan, Xingman Wu · 2026 · Frontiers in Communication
84. AI-Based Simulation of Behavioral Experiments: A Methodological Framework for Hospitality and Tourism Research
    Jungkeun Kim · 2026 · Journal of Smart Tourism
85. Cultural bias or universal traits? Exploring personality-like profiles of large language models
    Yuzhan Hang, Christopher J. Soto, Baptiste Lignier, Zhenhua Ling, Quan Liu, Yizhe Wang, Jiayi Zhu, Xiaosong He, Wei Wu · 2026 · Royal Society Open Science
86. AI integration in business excellence award assessment: assessors’ perspective
    Rassel Kassem, Mian M. Ajmal, Hamoud Almahmoud · 2026 · Measuring Business Excellence
87. Large language models as psychometric laboratories? Maybe not yet. Cautionary evidence from synthetic personality data
    Matteo Carpi, Conny De Vincenzo · 2026 · Psychiatry and Clinical Neurosciences Reports
88. User engagement behaviours with identity-disclosed social bots on social media: the role of perceived human–machine differences
    Hao Xu, Shaobo Liang, Jing Dong, Qingxuan Cheng · 2026 · Aslib Journal of Information Management
89. Abduction In Silico: Large Language Models Replicate Human Inference to the Best Explanation
    Igor Douven · 2026 · Minds and Machines
90. How price sensitive is AI? Benchmarking LLM-generated willingness to pay in pricing analytics
    Sebastian Oetzel, Tobias Maiberger · 2026 · Journal of Marketing Analytics
91. Artificial intelligence in negotiation research: From computational negotiators to psychological evidence
    Deuksin Kwon, Elena Hayoung Lee, Gale Lucas, Jonathan S. Gratch · 2026 · Current Opinion in Psychology
92. Psychologische Forschung zu Zeiten generativer KI: Eine methodische Positionierung
    Jona Carmon, Martin Rolfs, Melanie Caroline Steffens, Andrea Kiesel, Thorsten Meiser, Gudrun Schwarzer, Simone Kühn · 2026 · Psychologische Rundschau
93. Coarse-to-Fine Label Distribution Learning for High-Cardinality Survey Simulation
    Jianhao Li, Haijiang Liu, Zixiang Meng, Chen Qiu, Jinguang Gu · 2026 · International Journal of Web Services Research
94. Simulated responses from large language models are weak proxies for human economic preferences across 74 countries
    Fadong Chen, Qijun Wang, Lei Wang, Sudeep Bhatia · 2026 · Nature Human Behaviour
95. Moral Judgment Without Moral Agency: Why Judgment Accuracy Does Not Ground Moral Agency in the Age of AI
    Abdurrazak GÜLTEKİN · 2026 · Philosophies
96. Using Large Language Models to Construct Virtual Top Managers
    Antonio Garzón‐Vico, Krithika Komalapati, Arsalan Shahid, Jan Rosier · 2026 · SSRN Electronic Journal
97. When Synthetic Consumers Become Consumer Evidence: Evidence-Role Drift in AI-Mediated Market Research
    Lenin Heartly · 2026 · Octopus
98. Just a Simulation? A Review of Large Language Models as Subjects in Experimental Economics
    Ayato Kitadai, Nariaki Nishino · 2026 · SSRN Electronic Journal
99. Psychological and Behavioral Modeling: A Structured Review of Methods, Datasets, Applications, and Open Challenges
    Xingxuan Chen, Xinmeng Li, Lujia Yin, Haixiang Zhu, Zixin Xiao, Yong Jun Peng · 2026 · Systems
100. Estimating Decision Rules from Large Language Model Agents: An Application to Bank Balance-Sheet Management
     Zlatin Sarastov · 2026 · Research Square