Evidence map›Paper›PMID 40927232›Full record

ArticleIEEE transactions on affective computing

Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals in Social Contexts on Zoom.

Emma R Toner, Mark Rucker, Zhiyuan Wang, Maria A Larrazabal, Lihua Cai, Debajyoti Datta, Haroon Lone, Mehdi Boukhechba, Bethany A Teachman, Laura E Barnes

Abstract read
In one paragraph

Article in IEEE transactions on affective computing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis.... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks · 2023
    Article
  4. Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Emma R TonerDepartment of Psychology, University of Virginia, Charlottesville, VA USA.
Mark RuckerDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA USA.
Zhiyuan WangDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA USA.
Maria A LarrazabalDepartment of Psychology, University of Virginia, Charlottesville, VA USA.
Lihua CaiAberdeen Institute of Data Science and Artificial Intelligence, South China Normal University, Guangzhou, China.
Debajyoti DattaDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA USA.
Haroon LoneDepartment of Electrical Engineering and Computer Science, Indian Institute of Science Education and Research Bhopal, Bhopal, India.
Mehdi BoukhechbaJanssen Pharmaceutical Companies of Johnson & Johnson, Titusville, NJ USA.
Bethany A TeachmanDepartment of Psychology, University of Virginia, Charlottesville, VA USA.
Laura E BarnesDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA USA.

Funding

SCH: INT: Context-Aware Micro-Interventions for Social AnxietyR01MH132138 · NIMH · UNIVERSITY OF VIRGINIA · PI BARNES, LAURA ELIZABETH, TEACHMAN, BETHANY A · 2022 to 2025
$1.3M
Using computational modeling to formalize an integrated psychosocial theory of lonelinessF31MH136730 · NIMH · UNIVERSITY OF VIRGINIA · PI Emma Rose Toner · 2024 to 2026
$68k
NIMH NIH HHS F31 MH136730NIMH NIH HHS R01 MH132138
6 · The paper itself

Abstract

Correctly identifying an individual's social context from passively worn sensors holds promise for delivering just-in-time adaptive interventions (JITAIs) to treat social anxiety. In this study, we present results using passively collected data from a within-subjects experiment that assessed physiological responses across different social contexts (i.e., alone vs. with others), social phases (i.e., pre- and post-interaction vs. during an interaction), social interaction sizes (i.e., dyadic vs. group interactions), and levels of social threat (i.e., implicit vs. explicit social evaluation). Participants in the study (

Indexed as

Anxiety disorderscontext awarenessphysiological responseswearable sensors

Identifiers

PMID40927232
PMCPMC12416631

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.