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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

284
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...
284

You might also read

Related Articles

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

Sort by
Same author

Potassium thiocyanate-promoted four-component alkoxysulfenylation of styrenes with imidazo[1,2-<i>a</i>]pyridines and alcohols.

RSC advances·2026
Same author

Synthetic ecology of coastal ecosystems.

Cell reports·2026
Same author

Photoperiod-dependent protein and lipid biosynthesis in Auxenochlorella pyrenoidosa cultivated using food waste hydrolysate.

Journal of environmental management·2026
Same author

Docetaxel Oral Delivery System Using Natural Nanoparticles Derived from Ganoderma: Enhanced Pharmacokinetics, Potent Cytotoxicity, and Macrophage-Activating Properties.

Pharmaceuticals (Basel, Switzerland)·2026
Same author

A speech prediction model based on codec modeling and transformer decoding.

Computer speech & language·2026
Same author

Spontaneous pregnancy in a woman with diminished ovarian reserve following dietary supplementation with major royal jelly proteins: A case report.

Medicine·2026

Related Experiment Video

Updated: Feb 28, 2026

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

11.6K

A Multimodal Adaptive Framework for Social Interaction with the MiRo-E Robot.

Yufeng Yang1, Pei Shan Yap1, Sobanawartiny Wijeakumar2

  • 1School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive framework for human-robot interaction (HRI), integrating real-time emotion expression with large language models. The system enhances engagement and naturalness in social robots through coordinated verbal and nonverbal communication.

Keywords:
LLM-based adaptive interactionemotion estimationemotion expressionhuman–robot interactionmultimodalityuser experience evaluation

More Related Videos

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

9.2K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.2K

Related Experiment Videos

Last Updated: Feb 28, 2026

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

11.6K
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

9.2K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.2K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Human-Computer Interaction

Background:

  • Current human-robot interaction (HRI) often lacks adaptivity, relying on repetitive verbal and isolated nonverbal cues.
  • This leads to unappealing user engagement and less natural interactions.

Purpose of the Study:

  • To propose an integrated framework combining real-time emotion expression for nonverbal communication with a fine-tuned large language model for verbal communication.
  • To enhance user engagement, task performance, and perceived naturalness in social HRI.

Main Methods:

  • Utilized the MiRo-E zoomorphic social interaction platform.
  • Developed a coordinated nonverbal interaction system based on real-time emotion expression.
  • Integrated a fine-tuned large language model for adaptive verbal communication.

Main Results:

  • User study demonstrated significant enhancements in user experience.
  • Task completion rates, user engagement, and perceived naturalness were improved.
  • The framework showed improved consistency across verbal and nonverbal modalities.

Conclusions:

  • The integrated framework significantly improves user engagement and naturalness in social HRI.
  • Adaptive and emotionally aligned responses are key to more human-like robot interactions.
  • This approach offers a promising direction for developing more sophisticated and engaging social robots.