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 Experiment Video

Updated: Jun 5, 2026

One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

One dimensional Turing-like handshake test for motor intelligence.

Amir Karniel1, Guy Avraham, Bat-Chen Peles

  • 1Biomedical Engineering, Ben-Gurion University.

Journal of Visualized Experiments : Jove
|January 6, 2011
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

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

Science robotics·2026
Same author

Individualized Virtual Angle Offset Training for Patients with Stroke.

Journal of motor behavior·2026
Same author

Smartphone-Supported Vestibular Rehabilitation in Individuals With Vestibular Dysfunction: Pilot Randomized Crossover Trial Assessing Functional Clinical Outcomes and Anxiety.

JMIR rehabilitation and assistive technologies·2026
Same author

Objects feel stiffer in the nondominant hand when comparing between hands.

Journal of neurophysiology·2026
Same author

The role of context in continuity and segmentation.

Nature human behaviour·2026
Same author

Bowel incision closure with a semi-mutomated Robot-assisted laser tissue soldering system.

Scientific reports·2026
Same journal

A Video Protocol of a Randomized Controlled Clinical Trial - Electrochemotherapy of Cutaneous Metastases with Reduced Dose Bleomycin (BLESS Trial).

Journal of visualized experiments : JoVE·2026
Same journal

A Standardized Ex Vivo Porcine Oromucosal Model for Evaluating Peptide Fluxes.

Journal of visualized experiments : JoVE·2026
Same journal

Lightweight English Text Classification with Deep Learning Based on Complex System Theory.

Journal of visualized experiments : JoVE·2026
Same journal

Integrating Artificial Intelligence-Assisted Translation Support into English Courses: Effects on Translation Accuracy, Perceived Stress, and Anxiety.

Journal of visualized experiments : JoVE·2026
Same journal

A Toxin-Based Counter-Selection System for Markerless Gene Deletion and High-Density Tn5 Transposon Mutagenesis in Pectobacterium brasiliense.

Journal of visualized experiments : JoVE·2026
Same journal

Seamless Multimodal Human-Robot Communication: Integration Techniques in Human-Computer Interaction.

Journal of visualized experiments : JoVE·2026
See all related articles

We introduce a handshake test to evaluate machine motor intelligence, moving beyond the linguistic Turing test. This new method quantifies robotic movement resemblance to human handshakes, assessing artificial intelligence capabilities.

Area of Science:

  • Robotics and Artificial Intelligence
  • Neuroscience and Motor Control
  • Human-Computer Interaction

Background:

  • The Turing test assesses machine intelligence based on linguistic indistinguishability from humans.
  • Human hand movement is a complex motor function crucial for intelligence demonstration.
  • Existing tests for AI often overlook motor control and physical interaction capabilities.

Purpose of the Study:

  • To propose and validate a novel Turing-like test for evaluating machine motor intelligence.
  • To quantify the human-likeness of artificial systems' hand movements.
  • To advance the understanding of neural mechanisms underlying human handshake generation through computational modeling.

Main Methods:

  • Development of a telerobotic system for interactive handshake trials.

More Related Videos

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment
10:14

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Published on: May 10, 2024

Behavioral Assessment of Manual Dexterity in Non-Human Primates
16:00

Behavioral Assessment of Manual Dexterity in Non-Human Primates

Published on: November 11, 2011

Related Experiment Videos

Last Updated: Jun 5, 2026

One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment
10:14

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Published on: May 10, 2024

Behavioral Assessment of Manual Dexterity in Non-Human Primates
16:00

Behavioral Assessment of Manual Dexterity in Non-Human Primates

Published on: November 11, 2011

  • Utilizing a two-alternative forced choice method to compare system human-likeness.
  • Introduction of the Model Human-Likeness Grade (MHLG) with three distinct estimation approaches.
  • Fitting psychometric curves to determine the Point of Subjective Equality (PSE) for human-likeness.

    • Main Results:

    • Established a quantitative measure (MHLG) for assessing motor intelligence in artificial systems.
    • Demonstrated the feasibility of evaluating human-likeness in robotic hand movements.
    • Provided a protocol for testing computational models of the human handshake.

    Conclusions:

    • The proposed handshake test offers a new paradigm for assessing machine motor intelligence.
    • Modeling human movement, like handshakes, is essential for understanding neural control.
    • This research bridges AI, neuroscience, and robotics by evaluating physical interaction capabilities.