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

Clearance Models: Physiological Models01:09

Clearance Models: Physiological Models

Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
The organ's clearance rate depends on the blood flow to the organ and the extraction ratio (E). The extraction ratio describes the organ's proficiency in drug...

You might also read

Related Articles

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

Sort by
Same author

Cognitive distraction effect from non-driving related task engagement on automated vehicle occupants' motion sickness levels.

Applied ergonomics·2026
Same author

From Anger Detection to Intensity Modeling: A Two-Stage Machine Learning Approach Using Driving Performance and Physiological Signals.

IISE transactions on occupational ergonomics and human factors·2026
Same author

Wearing an Arm Support Exoskeleton Does Not Affect Balance but May Decrease Dynamic Stability During a Step-Down Maneuver.

Human factors·2026
Same author

Adaptation to a Whole-Body Powered Exoskeleton: Human-Exoskeleton Coordination During Load-Handling Tasks.

Annals of biomedical engineering·2026
Same author

Effects of anticipatory auditory cues and non-driving related tasks on motion sickness in automated vehicles.

Applied ergonomics·2026
Same author

Emotion Reactivity and Regulation in Autistic Adults: A Systematic Review Across RDoC Units of Analysis.

Psychophysiology·2025
Same journal

How Parent Caregivers of Children with Medical Complexity Respond to Patient Safety Events at Home.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting·2026
Same journal

Technological Interventions in the Emergency Departments to Enhance Safety and Care Experiences of Mental and Behavioral Health Patients and Staff.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting·2026
Same journal

An Exploratory Study to Evaluate the Technological Barriers and Facilitators for Pediatric Behavioral Healthcare in Emergency Departments.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting·2026
Same journal

Polyp Detection in Colonoscopy Training: A Qualitative Analysis of Resident Challenges and Expert Strategies.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting·2026
Same journal

Enhancing Colonoscopy Training Through Simulation-Based Training: Designing and Evaluating an Interactive Graphical User Interface.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting·2026
Same journal

The Influence of Performance Feedback on Trust and Self-Confidence in Dynamically Reliable Automation.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting·2025
See all related articles

Related Experiment Video

Updated: Jun 17, 2026

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.3K

Exploring Collaborative Patterns in Neurodiverse Teams: A Hidden Markov Model Approach Using Physiological Signals.

Sunwook Kim1, Manhua Wang1, Megan Fok2

  • 1Department of Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual Meeting
|July 21, 2025
PubMed
Summary
This summary is machine-generated.

This study used heart rate data and Hidden Markov Models (HMMs) to analyze collaboration in neurodiverse teams. Findings suggest differences in interaction patterns between autistic-non-autistic and non-autistic pairs, informing workplace support strategies.

Keywords:
data-driven collaboration modelheart rate variabilityneurodiversityteam collaboration

More Related Videos

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

6.7K
Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
07:53

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

2.1K

Related Experiment Videos

Last Updated: Jun 17, 2026

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.3K
How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

6.7K
Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
07:53

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

2.1K

Area of Science:

  • Neuroscience
  • Human-Computer Interaction
  • Organizational Psychology

Background:

  • Autistic individuals often encounter employment barriers, necessitating tailored workplace support.
  • Understanding neurodiverse team dynamics is crucial for inclusive work environments.

Purpose of the Study:

  • To investigate collaborative dynamics in simulated remote work settings involving autistic and non-autistic individuals.
  • To apply Hidden Markov Models (HMMs) to physiological data for analyzing team interactions.

Main Methods:

  • Heart rate data were collected from eighteen participants in six non-autistic (NA-NA) and three autistic-non-autistic (ASD-NA) dyads.
  • Dyads performed a collaborative programming task remotely, with roles alternating.
  • Hidden Markov Models (HMMs) were fitted to the physiological data to identify distinct interaction states and transition patterns.

Main Results:

  • The HMM analysis revealed seven hidden states, with transition probabilities differing between dyad types.
  • Non-autistic (NA-NA) dyads displayed more frequent state transitions than autistic-non-autistic (ASD-NA) dyads.
  • This suggests potentially more varied interaction patterns in non-autistic pairs compared to mixed-neurotype pairs.

Conclusions:

  • Hidden Markov Models (HMMs) effectively capture collaborative behaviors using physiological signals.
  • The findings provide insights into neurodiverse team interactions, aiding the development of targeted support strategies.
  • This research underscores the potential of bio-signal analysis in promoting inclusive and effective workplaces.