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

15.1K
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...
15.1K
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
Introducing Social Perception01:29

Introducing Social Perception

152
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...
152
Nonconscious Mimicry01:13

Nonconscious Mimicry

4.9K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
4.9K

You might also read

Related Articles

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

Sort by
Same author

Exploring child engagement in a multi-robot tutor-peer learning scenario.

Frontiers in robotics and AI·2026
Same author

Robots to the rescue: Robot discouragement reduces young adults' risk-taking.

Quarterly journal of experimental psychology (2006)·2025
Same author

MUSAE: Fusion of art and technology to address challenges in food and health.

Nutrition bulletin·2024
Same author

Towards a computational model for higher orders of Theory of Mind in social agents.

Frontiers in robotics and AI·2024
Same author

Using skeletal position to estimate human error rates in telemanipulator operators.

Frontiers in robotics and AI·2024
Same author

Author Correction: Spatial communication systems across languages reflect universal action constraints.

Nature human behaviour·2024
Same journal

Topological skeleton analysis for network-based shape representation in biology and beyond.

iScience·2026
Same journal

Condition-specific neural signatures of reactivation during post-retrieval rest: An EEG study.

iScience·2026
Same journal

Multi-chaotic signal identification employing a causal cross-correlation neural network.

iScience·2026
Same journal

Repeated insertions at positions 261-280 in KPC-2 highlight a ceftazidime-avibactam resistance hotspot.

iScience·2026
Same journal

ROS inhibits microtubule dynamics and cell growth heterogeneity during Arabidopsis sepal morphogenesis.

iScience·2026
Same journal

Type 1 diabetes alters early macrophage-<i>Mycobacterium tuberculosis</i> transcriptional coordination during infection.

iScience·2026
See all related articles

Related Experiment Video

Updated: Nov 15, 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

8.1K

The collaborative mind: intention reading and trust in human-robot interaction.

Samuele Vinanzi1, Angelo Cangelosi1,2, Christian Goerick3

  • 1Cognitive Robotics Lab, The University of Manchester, Manchester M13 9PL, UK.

Iscience
|March 4, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a cognitive architecture for humanoid robots, enhancing human-robot collaboration through intention reading and trust. These skills enable robots to better understand and predict human goals for more meaningful cooperation.

Keywords:
Artificial IntelligenceHuman-Centered ComputingHuman-Computer Interaction

More Related Videos

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
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

9.4K

Related Experiment Videos

Last Updated: Nov 15, 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

8.1K
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
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

9.4K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Cognitive Science

Background:

  • Robots are increasingly becoming social actors, necessitating human-like interaction capabilities.
  • Effective human-robot collaboration relies on cognitive skills such as intention reading and trust.

Purpose of the Study:

  • To develop a cognitive architecture for humanoid robots.
  • To integrate intention reading and trust capabilities into robots using AI.
  • To enhance human-robot collaboration.

Main Methods:

  • Proposed a developmental artificial cognitive architecture.
  • Integrated unsupervised machine learning and probabilistic models.
  • Imbued a humanoid robot with intention reading and trusting capabilities.

Main Results:

  • The synergistic implementation of intention reading and trust enabled meaningful robot cooperation.
  • The intention reading model accurately predicted human goals.
  • The trust component improved the likelihood of successful task outcomes.

Conclusions:

  • Cognitive skills like intention reading and trust are crucial for effective human-robot collaboration.
  • The proposed architecture successfully equips robots with these capabilities.
  • This research paves the way for more intuitive and cooperative robots.