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

Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

12.5K
When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
12.5K
Muscle Coordination and Action01:24

Muscle Coordination and Action

1.6K
Muscle coordination is a complex and finely tuned process essential for smooth and purposeful movements like flexion, extension, adduction, abduction, and rotation. The human body orchestrates the actions of various muscles working in concert, each with a specific role. Four functional types describe how muscles work together: agonist, antagonist, synergist, and fixator.
Agonists
Agonist muscles, often called prime movers, are the primary muscles responsible for producing a specific movement....
1.6K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

696
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
696
Feedback control systems01:26

Feedback control systems

352
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
352
Kinematic Equations - I01:26

Kinematic Equations - I

10.7K
When an object moves with constant acceleration, the velocity of the object changes at a constant rate throughout the motion. The kinematic equations of motions are derived for such cases where the acceleration of the object is constant. The first kinematic equation gives an insight into the relationship between velocity, acceleration, and time. We can see, for example:
10.7K
Effects of feedback01:24

Effects of feedback

610
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
610

You might also read

Related Articles

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

Sort by
Same author

Wearable IoT-Enabled Galvanic Skin Response Device for Objective Pain and Stress Monitoring: Hardware Design and Prototype Development.

Sensors (Basel, Switzerland)·2026
Same author

Design of a "Cobot Tactile Display" for Accessing Virtual Diagrams by Blind and Visually Impaired Users.

Sensors (Basel, Switzerland)·2022
Same author

Waist circumference cutoff identifying risks of obesity, metabolic syndrome, and cardiovascular disease in men with spinal cord injury.

PloS one·2020
Same author

The feasibility of using exoskeletal-assisted walking with epidural stimulation: a case report study.

Annals of clinical and translational neurology·2020
Same author

A Multi-Sensor Matched Filter Approach to Robust Segmentation of Assisted Gait.

Sensors (Basel, Switzerland)·2018
Same author

Illusory movement perception improves motor control for prosthetic hands.

Science translational medicine·2018
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jul 27, 2025

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

8.0K

Kinesthetic Feedback for Understanding Program Execution.

Satinder Gill1, Bryson J Goolsby1, Dianne T V Pawluk1

  • 1Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA 23219, USA.

Sensors (Basel, Switzerland)
|June 10, 2023
PubMed
Summary
This summary is machine-generated.

Adding kinesthetic feedback to educational robots improves programming command recall and endpoint accuracy. This multi-modal approach enhances learning for diverse student styles, overcoming challenges in programming education.

Keywords:
programingroboticsscratchvisually impaired users

More Related Videos

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.5K
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.3K

Related Experiment Videos

Last Updated: Jul 27, 2025

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

8.0K
Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.5K
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.3K

Area of Science:

  • Robotics in Education
  • Human-Computer Interaction
  • Educational Technology

Background:

  • Programming education is crucial for STEM but often challenging for students and educators.
  • Educational robots are used to engage students, but their effectiveness varies.
  • Student learning styles differ, suggesting multi-modal feedback may enhance programming comprehension.

Purpose of the Study:

  • To investigate the impact of combined kinesthetic and visual feedback on programming command interpretation using educational robots.
  • To compare the effectiveness of multi-modal feedback against visual-only and narrative feedback methods.
  • To assess if kinesthetic feedback aids or hinders the understanding of robot program commands.

Main Methods:

  • Human participants (n=10 sighted) performed tasks involving determining robot program command sequences.
  • Evaluated command recall accuracy and end-point location determination.
  • Compared conditions: kinesthetic + visual feedback, visual-only feedback, and narrative description.

Main Results:

  • Participants accurately determined movement commands and magnitude with combined kinesthetic + visual feedback.
  • Command recall accuracy was higher with kinesthetic + visual feedback than with visual-only feedback.
  • Endpoint location accuracy was significantly better with kinesthetic + visual feedback and narrative methods compared to visual-only.

Conclusions:

  • Combined kinesthetic and visual feedback enhances, rather than hinders, the interpretation of robot program commands.
  • Multi-modal feedback approaches in educational robotics can cater to diverse learning styles.
  • This study suggests improved learning outcomes for programming education through enhanced feedback mechanisms.