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

Stereotype Content Model02:16

Stereotype Content Model

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 categorization, a person will feel...
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

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...

You might also read

Related Articles

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

Sort by
Same author

Surgical Fixation Versus Cast Immobilization for Adults With Bicortical Scaphoid Fractures: A Target Trial Emulation of the SWIFFT Trial.

The Journal of the American Academy of Orthopaedic Surgeons·2026
Same author

Knowledge-Attitude-Practice-Based Outdoor Exercise Education for Patients With Type 2 Diabetes: A Randomized Controlled Trial.

Journal of diabetes research·2026
Same author

Digital Physiotherapeutic Elbow-Specific Training System for Patients After Arthroscopic Release of Elbow Contracture: Noninferiority Randomized Controlled Trial.

JMIR mHealth and uHealth·2026
Same author

Effectiveness of a nurse-led digital care program for patients with external fixation: A randomized controlled trial.

Digital health·2026
Same author

Prehabilitation before hip arthroscopy for femoroacetabular impingement syndrome: A randomised controlled trial.

Clinical rehabilitation·2026
Same author

Home-Based Digital Exercise Program for Patients After Open Repair of Acute Achilles Tendon Rupture: Noninferiority Randomized Controlled Trial.

JMIR mHealth and uHealth·2026
Same journal

Taphonomic analysis at Liang Bua reveals the behavioral and technological capabilities of <i>Homo floresiensis</i>.

Science advances·2026
Same journal

Targeting granule initiation and amyloplast structure to create giant starch granules in wheat.

Science advances·2026
Same journal

A meta-analysis of carbon losses and gains from tropical moist forest degradation and regeneration.

Science advances·2026
Same journal

Ancient DNA reveals elite dynastic rule among Iron Age Eurasian Steppe nomads.

Science advances·2026
Same journal

Targeting astrocytic Dp71 attenuates BBB disruption after traumatic brain injury through WTAP-associated m<sup>6</sup>A regulation of MMP2.

Science advances·2026
Same journal

Pancreatic α cells are required for nutrient homeostasis by regulating dynamic β cell networks in islets.

Science advances·2026
See all related articles

Related Experiment Video

Updated: Jun 17, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.9K

Printed sensing human-machine interface with individualized adaptive machine learning.

Guohui Wang1,2, Yao Tang1,2, Xinran Luo1,2

  • 1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.

Science Advances
|September 10, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed a soft, printed human-machine interface with electronic skin (e-skin) for advanced robotics. This e-skin enables gesture recognition and multimodal sensing, enhancing robot intelligence and human-robot interaction.

More Related Videos

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.3K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

Related Experiment Videos

Last Updated: Jun 17, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.9K
Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.3K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

Area of Science:

  • Robotics and Human-Machine Interfaces
  • Soft Robotics
  • Artificial Intelligence

Background:

  • Current robotic sensing is limited, lacking human-like sensory capabilities.
  • Multimodal sensing in robots is underdeveloped for advanced applications.
  • Human-robot interaction requires more sophisticated interfaces.

Purpose of the Study:

  • To introduce a novel printed soft human-machine interface.
  • To integrate e-skin for gesture recognition and multimodal sensing.
  • To enhance robotic intelligence and bidirectional communication.

Main Methods:

  • Development of a printed soft human-machine interface with e-skin.
  • Implementation of adaptive machine learning for gesture classification.
  • Integration of multimodal sensors for pressure, temperature, and conductivity.

Main Results:

  • The e-skin successfully decoded and classified hand gestures.
  • The system demonstrated re-wearable convenience and adaptability to individual differences.
  • The soft interface enabled bidirectional communication between humans and robots.

Conclusions:

  • The developed interface significantly advances robotic sensing capabilities.
  • This technology paves the way for more practical applications in advanced manufacturing and medical robotics.
  • The work contributes to embodied intelligence by enhancing human-robot interaction.