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

13.9K
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...
13.9K

You might also read

Related Articles

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

Sort by
Same author

Future Path Presentation to Passengers of an Autonomous Wheelchair Using Vibrotactile Feedback.

Sensors (Basel, Switzerland)·2025
Same author

Potential for the dynamics of pedestrians in a socially interacting group.

Physical review. E, Statistical, nonlinear, and soft matter physics·2014
Same author

Deciphering the crowd: modeling and identification of pedestrian group motion.

Sensors (Basel, Switzerland)·2013
Same author

A microscopic "social norm" model to obtain realistic macroscopic velocity and density pedestrian distributions.

PloS one·2012

Related Experiment Video

Updated: May 14, 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

13.1K

A projection-based approach for clarifying interaction partners in human-robot communication.

Suguru Sone1, Tsubasa Kishi1, Tetsushi Ikeda1

  • 1Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan.

Frontiers in Robotics and AI
|April 11, 2025
PubMed
Summary

This study introduces a projection-based method for non-humanoid robots to improve human-robot interaction. Illuminating the interaction space enhances engagement and the feeling of being directly addressed, even for passive observers.

Keywords:
guide robotshuman-robot interactionprojection-based communicationservice robotssocial robotics

More Related Videos

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
13:44

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Published on: August 8, 2011

13.8K
Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication
07:18

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

791

Related Experiment Videos

Last Updated: May 14, 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

13.1K
Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
13:44

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Published on: August 8, 2011

13.8K
Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication
07:18

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

791

Area of Science:

  • Human-Robot Interaction
  • Robotics
  • Computer Vision

Background:

  • Human-robot interaction (HRI) is crucial as robots integrate into daily life.
  • Existing HRI methods often focus on humanoid robots and human-like gestures.
  • Adapting interaction cues for non-humanoid robots presents unique challenges in conveying direct address.

Purpose of the Study:

  • To propose a novel projection-based method for non-humanoid robots to initiate and enhance human interaction.
  • To investigate if projected light can effectively signal direct address and improve user engagement.
  • To assess the method's impact on perceived interaction clarity and participation in shared spaces.

Main Methods:

  • Developed a projection system mounted on a non-humanoid robot.
  • The projector illuminates the space around the robot and its interaction partners.
  • Conducted experiments in two distinct scenarios to evaluate the method's effectiveness.

Main Results:

  • The projection method successfully conveyed a strong sense of being directly addressed by the robot.
  • Participants reported enhanced interaction clarity and a feeling of easier participation.
  • The method proved effective even for individuals not actively engaged in the interaction.

Conclusions:

  • Projection-based illumination is a viable and effective strategy for non-humanoid robots to improve HRI.
  • This technique enhances the perception of direct address and encourages broader participation.
  • The findings offer a new approach for designing more intuitive and engaging non-humanoid robot interactions.