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

Natural and Artificial Concepts01:24

Natural and Artificial Concepts

384
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
384
Introducing Social Perception01:29

Introducing Social Perception

153
Perceiving others accurately is fundamental to effective communication and relationship-building. Social perception, a key concept in social psychology, refers to the cognitive processes through which individuals gather and interpret information about others to understand their actions, intentions, and motivations. This process extends beyond spoken words and overt behaviors, incorporating subtle nonverbal cues and contextual factors.Nonverbal Cues and Their SignificanceNonverbal cues play a...
153
Visual System01:26

Visual System

1.4K
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
1.4K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

111
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...
111
Vision01:24

Vision

58.4K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
58.4K
Understanding Deception01:14

Understanding Deception

73
Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
73

You might also read

Related Articles

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

Sort by
Same author

Machine learning-assisted smartphone fluorescence sensing for ultrasensitive and point-of-care testing of acid phosphatase.

Analytica chimica acta·2026
Same author

Serendipita indica promotes rice phosphorus uptake by plasma membrane H+-ATPase OsA1-stimulated root hair growth.

Journal of experimental botany·2026
Same author

The PTHR1/PKA/CREB1 axis promotes osteosarcoma progression by activating the PVT1/miR-590-3p/AXIN2 ceRNA network to induce epithelial-mesenchymal transition.

Biology direct·2026
Same author

The Effects of Different Organic Amendment Strategies on Soil Properties and Microbial Communities in Maize Monocropping.

Plants (Basel, Switzerland)·2026
Same author

Decoding the hidden resistome: Single-cell Raman detection of viable but non-culturable antibiotic-resistant bacteria in aquatic environments.

Journal of hazardous materials·2026
Same author

Task-aware cross-modal refinement and liquid fusion for text-visual grounding.

Frontiers in artificial intelligence·2026
Same journal

DSPE-ViT: a lightweight vision transformer with dynamic sparse positional encoding for dense small object detection in UAV imagery.

Frontiers in neurorobotics·2026
Same journal

ST-HONet: Spatio-Temporal Hierarchical Network for long-horizon bimanual visuomotor imitation.

Frontiers in neurorobotics·2026
Same journal

ST-HADP: Spatio-Temporal hierarchical attention diffusion policy for long-horizon generalizable bimanual visuomotor imitation.

Frontiers in neurorobotics·2026
Same journal

EQISP: efficient quantized image signal processing with multi-scale pyramid fusion for resource constrained embodied perception.

Frontiers in neurorobotics·2026
Same journal

Research on embodied agent multimodal perception and real-time path planning algorithms for complex unstructured environments.

Frontiers in neurorobotics·2026
Same journal

NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features.

Frontiers in neurorobotics·2026
See all related articles

Related Experiment Video

Updated: Nov 16, 2025

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

13.5K

Intention Understanding in Human-Robot Interaction Based on Visual-NLP Semantics.

Zhihao Li1, Yishan Mu2, Zhenglong Sun3

  • 1Institute of Robotics and Intelligent Manufacturing, The Chinese University of Hong Kong, Shenzhen, China.

Frontiers in Neurorobotics
|February 22, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework for robots to understand human intentions from natural language, including vague and feeling-based commands. This allows for more natural human-robot interaction beyond simple keyword detection.

Keywords:
human–robot interactionintention estimationscene understandingsemanticsvisual-NLP

More Related Videos

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

11.2K
Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

2.4K

Related Experiment Videos

Last Updated: Nov 16, 2025

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

13.5K
A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

11.2K
Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

2.4K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Human-Computer Interaction

Background:

  • Human-robot interaction (HRI) is advancing with AI and robotics.
  • Current HRI relies on explicit verbal commands, which is unnatural.
  • Natural communication is essential for broader social impact of robots.

Purpose of the Study:

  • To develop a novel task-based framework for robots to comprehend human intentions.
  • To enable robots to process natural language instructions, including clear, vague, and feeling-based types.
  • To improve the naturalness and effectiveness of human-robot communication.

Main Methods:

  • A framework integrating language semantics and visual object recognition.
  • A language semantics module to extract keywords from diverse instructions.
  • A visual object recognition module to identify objects in the robot's environment.
  • A similarity computation algorithm to infer user intention from task context.

Main Results:

  • The framework successfully enables robots to understand intentions from various natural language instructions.
  • Validation on a humanoid robot demonstrated effective task execution (object retrieval and handover).
  • The system demonstrated robustness with different instruction types, including vague and feeling-based commands.

Conclusions:

  • The proposed framework significantly enhances robots' ability to interpret human intentions.
  • This advancement moves HRI towards more natural and intuitive communication.
  • The research paves the way for more sophisticated and socially impactful robot applications.