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

Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K

You might also read

Related Articles

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

Sort by
Same author

Automated classification of conversation valence and arousal using autonomic nervous system responses.

Frontiers in neuroscience·2026
Same author

Acoustic Measures of Articulation and Vocal Quality in Transgender People Completing Vocal Feminization Therapy.

Journal of voice : official journal of the Voice Foundation·2026
Same author

Estimating the valence and arousal of dyadic conversations using autonomic nervous system responses and regression algorithms.

Frontiers in neuroergonomics·2025
Same author

Robot-Mediated Physical Human-Human Interaction in Rehabilitation: A Position Paper.

IEEE reviews in biomedical engineering·2025
Same author

The unique impacts of attentional control and experiential avoidance on PTSD symptomatology: Moderation of nonlinear effects.

Behaviour research and therapy·2025
Same author

Endorsement of trauma stereotypes: Implications for the provision of survivor support.

Psychological trauma : theory, research, practice and policy·2025

Related Experiment Video

Updated: May 24, 2025

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

4.3K

Regression of Multiple Conversation Aspects using Dyadic Physiological Measurements.

Iman Chatterjee, Maja Gorsic, Robert A H Kaya

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary

    This study shows that autonomic nervous system responses can predict conversation quality in dyads. Regression models accurately estimate conversation aspects like valence and arousal when trained on dyad-specific data.

    More Related Videos

    Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
    13:57

    Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

    Published on: July 1, 2015

    12.4K
    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
    10:28

    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

    Published on: July 24, 2019

    15.0K

    Related Experiment Videos

    Last Updated: May 24, 2025

    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

    4.3K
    Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
    13:57

    Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

    Published on: July 1, 2015

    12.4K
    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
    10:28

    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

    Published on: July 24, 2019

    15.0K

    Area of Science:

    • Psychophysiology
    • Computational Social Science
    • Human-Computer Interaction

    Background:

    • Dyadic physiological responses correlate with interpersonal process quality.
    • Previous pattern recognition focused on classification, not estimation.
    • Applications exist in education and mental health counseling.

    Purpose of the Study:

    • To use regression algorithms to estimate conversation aspects (valence, arousal, balance) from physiological data.
    • To evaluate the accuracy of these estimations.
    • To explore the potential for real-time monitoring of dyadic interactions.

    Main Methods:

    • Collected physiological data (heart rate, skin conductance, respiration, skin temperature) from 35 dyads during conversation.
    • Used observer ratings for conversation valence, arousal, and balance.
    • Applied regression algorithms (Support Vector Machines, Gaussian Process Regression) for estimation.

    Main Results:

    • Regression algorithms achieved lower estimation errors when trained on data from the same dyad.
    • Performance did not improve over baseline when trained on data from different dyads.
    • Accurate estimation of dyadic conversation aspects is possible with dyad-specific training data.

    Conclusions:

    • Autonomic nervous system responses combined with regression algorithms can estimate dyadic conversation aspects.
    • Dyad-specific training data is crucial for accurate estimations.
    • Further research is needed before practical application in fields like counseling and education.