Cover Image

Using AI to replicate human experimental results: a motion study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Castillo, Rosa Illan, Valenzuela, Javier
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The influence of motion features in temporal perception
by: Castillo, Rosa Illan, et al.
Published: (2025)

Advancements and limitations of LLMs in replicating human color-word associations
by: Fukushima, Makoto, et al.
Published: (2024)

Frontier AI systems have surpassed the self-replicating red line
by: Pan, Xudong, et al.
Published: (2024)

Large language models replicate and predict human cooperation across experiments in game theory
by: Palatsi, Andrea Cera, et al.
Published: (2025)

Self-folding Self-replication
by: Lano, Ralph P.
Published: (2024)

Chinchilla Scaling: A replication attempt
by: Besiroglu, Tamay, et al.
Published: (2024)

Invisible failures in human-AI interactions
by: Potts, Christopher, et al.
Published: (2026)

Mechanical Self-replication
by: Lano, Ralph P.
Published: (2024)

Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs?
by: Tzachristas, Ioannis, et al.
Published: (2025)

Large corpora and large language models: a replicable method for automating grammatical annotation
by: Morin, Cameron, et al.
Published: (2024)

AI shares emotion with humans across languages and cultures
by: Wu, Xiuwen, et al.
Published: (2025)

Automated speech audiometry: Can it work using open-source pre-trained Kaldi-NL automatic speech recognition?
by: Araiza-Illan, Gloria, et al.
Published: (2023)

An experimental and computational study of an Estonian single-person word naming
by: Lõo, Kaidi, et al.
Published: (2025)

When AI companions become witty: Can human brain recognize AI-generated irony?
by: Rao, Xiaohui, et al.
Published: (2025)

Over-representation of phonological features in basic vocabulary doesn't replicate when controlling for spatial and phylogenetic effects
by: Blum, Frederic
Published: (2025)

A foundation model for human-AI collaboration in medical literature mining
by: Wang, Zifeng, et al.
Published: (2025)

Multilingual corpora for the study of new concepts in the social sciences and humanities:
by: Kyriakoglou, Revekka, et al.
Published: (2025)

Everyone prefers human writers, including AI
by: Haverals, Wouter, et al.
Published: (2025)

Can AI mimic the human ability to define neologisms?
by: Georgiou, Georgios P.
Published: (2025)

Multi-agent AI systems outperform human teams in creativity
by: Hu, Tiancheng, et al.
Published: (2026)

Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
by: Wang, Jianyu, et al.
Published: (2025)

On the locality bias and results in the Long Range Arena
by: Miralles-González, Pablo, et al.
Published: (2025)

Large-scale study of human memory for meaningful narratives
by: Georgiou, Antonios, et al.
Published: (2023)

Mining experimental data from Materials Science literature with Large Language Models: an evaluation study
by: Foppiano, Luca, et al.
Published: (2024)

The intersection of philosophy of language and artificial intelligence: Challenges in replicating human language understanding
by: Sooraj Kumar Maurya
Published: (2024)

The author is dead, but what if they never lived? A reception experiment on Czech AI- and human-authored poetry
by: Marklová, Anna, et al.
Published: (2025)

AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI
by: Sermpezis, Pavlos, et al.
Published: (2025)

Do LLMs exhibit human-like response biases? A case study in survey design
by: Tjuatja, Lindia, et al.
Published: (2023)

TouchAI: Exploring human-AI perceptual alignment in touch through language model representations
by: Zhong, Shu, et al.
Published: (2024)

Towards medical AI misalignment: a preliminary study
by: Puccio, Barbara, et al.
Published: (2025)

NyayaAI: An AI-Powered Legal Assistant Using Multi-Agent Architecture and Retrieval-Augmented Generation
by: Deepanshu, et al.
Published: (2026)

Cyberbullying Detection in Hinglish Text Using MURIL and Explainable AI
by: Kumar, Devesh
Published: (2025)

Using Generative AI and Multi-Agents to Provide Automatic Feedback
by: Guo, Shuchen, et al.
Published: (2024)

Using Learning Progressions to Guide AI Feedback for Science Learning
by: Xia, Xin, et al.
Published: (2026)

WATCHED: A Web AI Agent Tool for Combating Hate Speech by Expanding Data
by: Piot, Paloma, et al.
Published: (2025)

A multitask transformer to sign language translation using motion gesture primitives
by: López, Fredy Alejandro Mendoza, et al.
Published: (2025)

AutoMeet: a proof-of-concept study of genAI to automate meetings in automotive engineering
by: Baeuerle, Simon, et al.
Published: (2025)

A funny companion: Distinct neural responses to perceived AI- versus human-generated humor
by: Rao, Xiaohui, et al.
Published: (2025)

Playing with words: Comparing the vocabulary and lexical diversity of ChatGPT and humans
by: Reviriego, Pedro, et al.
Published: (2023)

Big Meaning: Qualitative Analysis on Large Bodies of Data Using AI
by: Flanders, Samuel, et al.
Published: (2025)