Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

331
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
331

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Diffuse Large B-Cell Lymphoma of the Frontal Sinus: A Case Report.

Hematology reports·2023
Same author

The Aged Mind Observed with a Digital Filter: Detecting Mild Cognitive Impairment through Virtual Reality and Machine Learning.

Cyberpsychology, behavior and social networking·2023
Same author

Correction: Technology-Assisted Cognitive Motor Dual-Task Rehabilitation in Chronic Age-Related Conditions: Systematic Review.

Journal of medical Internet research·2023
Same author

Presence, flow, and narrative absorption: an interdisciplinary theoretical exploration with a new spatiotemporal integrated model based on predictive processing.

Open research Europe·2023
Same author

Nasal Cytology Changes in Head and Neck Cancer Treatment: A Systemic Review.

Diagnostics (Basel, Switzerland)·2023
Same author

Prognostic relevance of gait-related cognitive functions for dementia conversion in amnestic mild cognitive impairment.

BMC geriatrics·2023

Related Experiment Video

Updated: Mar 26, 2026

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.4K

Virtual Reality for Artificial Intelligence: human-centered simulation for social science.

Pietro Cipresso1, Giuseppe Riva1

  • 1Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Via Pellizza da Volpedo 41, 20149 Milano, Italy.

Studies in Health Technology and Informatics
|January 23, 2016
PubMed
Summary

This study introduces a hybrid platform integrating human behavior into artificial intelligence simulations. This allows for more realistic modeling of artificial societies and collective intelligence, advancing social science research.

More Related Videos

Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

13.4K
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

855

Related Experiment Videos

Last Updated: Mar 26, 2026

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.4K
Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

13.4K
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

855

Area of Science:

  • Artificial Intelligence
  • Social Sciences
  • Human-Computer Interaction

Background:

  • Traditional AI focused on human-like robots, but current research emphasizes collective intelligence and simulations.
  • Social science modeling faces limitations as simulations cannot be performed in the physical world with real humans.
  • Previous AI simulations used artificial agents with rules emulating human behavior, but integrating real human intelligence remains a challenge.

Purpose of the Study:

  • To present a novel hybrid platform that integrates real human behavior into artificial intelligence simulations.
  • To bridge the gap between physical world simulations (engineers) and social science modeling.
  • To enable the study of complex societal behaviors through realistic artificial agent interactions.

Main Methods:

  • Developed a hybrid human-artificial platform for conducting experiments in simulated artificial worlds.
  • Utilized Virtual Reality (VR) to expose real human beings to specific situations, capturing their behaviors.
  • Transferred observed human behaviors from VR into rules governing artificial agents within the simulation.

Main Results:

  • The platform creates a closed-loop system where real human behaviors directly influence artificial agents.
  • This enables the creation of more authentic artificial societies for research purposes.
  • Facilitates the study of collective intelligence and complex social dynamics.

Conclusions:

  • The hybrid platform offers a groundbreaking approach to studying societal behaviors by incorporating genuine human intelligence.
  • It overcomes limitations of purely artificial simulations by grounding agent behavior in real-world human actions.
  • This technology paves the way for more accurate and insightful research in artificial intelligence and social sciences.