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

Observational Learning01:12

Observational Learning

791
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
791
Behaviorism01:28

Behaviorism

4.2K
The field of behaviorism was pioneered by figures such as Ivan Pavlov, John B. Watson, and B.F. Skinner fundamentally shifted the focus of psychology to the observable and controllable aspects of human and animal behavior. This shift marked a critical evolution in the discipline, emphasizing scientific rigor and experimental methodology.
The core premise of behaviorism is its focus on observable behavior rather than internal thoughts or feelings. This approach argues that true scientific...
4.2K
Nonconscious Mimicry01:13

Nonconscious Mimicry

5.1K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
5.1K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

196
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...
196
Stereotype Content Model02:16

Stereotype Content Model

15.3K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.3K
Introduction to Learning01:18

Introduction to Learning

895
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
895

You might also read

Related Articles

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

Sort by
Same authorSame journal

Do people feel safe in a robot's presence?

Science robotics·2026
Same author

Shape-morphing metamaterials with continuous relearning.

Science robotics·2026
Same author

Designing microrobots with embodied physical intelligence.

Science robotics·2026
Same author

Origami-inspired grasper for safe tissue manipulation.

Science robotics·2026
Same author

Grasshopper-inspired wing design improves gliding performance.

Science robotics·2026
Same author

Lightweight haptic ring delivers high force feedback.

Science robotics·2026
Same journal

DNA origami snaps into place.

Science robotics·2026
Same journal

A high-endurance DNA origami snap-through switch for functional nanoscale control.

Science robotics·2026
Same journal

Learning flight navigation like a honey bee.

Science robotics·2026
Same journal

Is your robot vacuum cleaner spying on you?

Science robotics·2026
Same journal

Stop chasing identical outcomes in HRI replication: Learn from the differences.

Science robotics·2026
See all related articles

Related Experiment Video

Updated: Jan 8, 2026

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.7K

Learning robot behavior from human-human interactions.

Melisa Yashinski1

  • 1Science Robotics, AAAS, Washington, DC 20005, USA.

Science Robotics
|December 17, 2025
PubMed
Summary
This summary is machine-generated.

Observing human-human interactions trains robots to behave more naturally during human-robot interaction. This approach enhances robot adaptability and social engagement in collaborative tasks.

More Related Videos

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

9.1K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.7K

Related Experiment Videos

Last Updated: Jan 8, 2026

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.7K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

9.1K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.7K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Human-Computer Interaction

Background:

  • Human-robot interaction (HRI) research aims to create robots that can collaborate effectively with humans.
  • Current robot behaviors can sometimes appear unnatural or unpredictable, hindering seamless interaction.

Purpose of the Study:

  • To investigate if training robots on human-human interaction data improves their behavior in human-robot interaction.
  • To quantify the naturalness of robot behavior after training on human-human interaction data.

Main Methods:

  • A machine learning model was developed and trained using observational data from human-human interactions.
  • The trained model was then implemented to control robot behavior during simulated human-robot interaction scenarios.
  • Robot behavior was assessed based on metrics of naturalness and interaction fluidity.

Main Results:

  • The model trained on human-human interactions demonstrated significantly more natural behavior compared to baseline models.
  • Robots exhibited improved adaptability and responsiveness to human cues.
  • Qualitative assessments indicated a higher degree of perceived naturalness in robot actions.

Conclusions:

  • Training robots using human-human interaction data is an effective strategy for enhancing natural robot behavior.
  • This method holds promise for developing more intuitive and socially adept robots for diverse applications.
  • Future work should explore diverse interaction contexts and more complex behavioral training.