<?xml version='1.0' encoding='utf-8'?>
<?xml-stylesheet type="text/xsl" href="/v2/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-06T11:33:55Z</responseDate>
  <request identifier="oai:figshare.com:article/34030322" metadataPrefix="oai_dc" verb="GetRecord">https://api.figshare.com/v2/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34030322</identifier>
        <datestamp>2026-09-30T06:28:02Z</datestamp>
        <setSpec>category_7</setSpec>
        <setSpec>category_45</setSpec>
        <setSpec>category_122</setSpec>
        <setSpec>portal_87</setSpec>
        <setSpec>item_type_6</setSpec>
        <setSpec>month_year_09_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>EEG- and VR- derived affective computing in excessive internet gamers with social anxiety</dc:title>
          <dc:creator>Pin-Yang Yeh (322350)</dc:creator>
          <dc:creator>Chun-Shu Wei (25142174)</dc:creator>
          <dc:creator>Cheuk-Kwan Sun (344932)</dc:creator>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Sociology</dc:subject>
          <dc:subject>Mental Health</dc:subject>
          <dc:subject>Internet gaming disorder</dc:subject>
          <dc:subject>excessive internet use</dc:subject>
          <dc:subject>convolutional neural networks</dc:subject>
          <dc:subject>affective computing</dc:subject>
          <dc:subject>electroencephalography</dc:subject>
          <dc:subject>arousal and valence</dc:subject>
          <dc:description>&lt;p&gt;Excessive internet use may serve as an emotion regulation strategy. This retrospective cross-sectional study examined arousal and valence in students at high and low risk of internet gaming disorder (IGD) using a convolutional neural network (CNN)-based model applied to electroencephalographic (EEG) data. Sixty participants underwent virtual reality (VR)-based socioemotional stress and were classified into high-risk (HIGD) and low-risk (LIGD) groups based on IGD test scores. Depression, social anxiety, and emotion regulation were assessed using self-report questionnaires. Between-group differences were examined using parametric tests and linear mixed-effects models; associations between EEG-derived indices and self-report measures were evaluated using Spearman correlations with false discovery rate correction. The HIGD group reported significantly greater depression and social anxiety but comparable emotion regulation strategies. CNN-derived arousal and valence did not differ between groups across five conditions, including pre- and post-VR resting state and three scenarios (all &lt;i&gt;p&lt;/i&gt; &gt; .05). However, a significant group-by-time interaction in valence emerged during criticism of academic performance (&lt;i&gt;p&lt;/i&gt; = .002). No correlations between EEG-derived indices and self-report measures remained significant across the five stages (all adjusted &lt;i&gt;p&lt;/i&gt; ≥ .43). These findings suggest that IGD risk may be associated with a more negative valence trajectory during performance-related criticism rather than generalised differences in arousal or valence.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-30T06:28:02Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.6084/m9.figshare.34030322.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/EEG-_and_VR-_derived_affective_computing_in_excessive_internet_gamers_with_social_anxiety/34030322</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
