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    <responseDate>2026-10-14T21:33:51Z</responseDate>
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    <identifier>10.57760/sciencedb.38741</identifier>
    <datestamp>2026-06-08T11:36:16Z</datestamp>
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  <dc:date>2026-06-08</dc:date>
  <dc:title>Interaction Intention 4</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.38741</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Interaction Intentions 4 is a multimodal EEG and eye-tracking feature dataset designed for fine-grained interaction intention recognition in visual human-computer interaction scenarios. The dataset focuses on four interaction intention states: non-specific intention (NSI), information browsing intention (IBI), active retrieval intention (ARI), and passive retrieval intention (PRI).The dataset provides two main types of processed features. For EEG signals, phase-locking value (PLV) features are provided to characterize functional connectivity patterns across different frequency bands, including Delta, Theta, Alpha, and Beta. For eye-tracking signals, a comprehensive set of eye-movement features is provided, covering fixation-, saccade-, blink-, and ROI-related measures.Interaction Intentions 4 can be used for multimodal intention decoding, feature-level analysis, cross-subject classification, subject adaptation, and the development of adaptive human-computer interaction systems. By providing both EEG functional connectivity features and eye-movement behavioral features, the dataset offers a useful resource for studying the neural and visual behavioral mechanisms underlying fine-grained interaction intentions.</dc:description>
  <dc:subject>EEG; eye-tracking; interaction intention</dc:subject>
  <dc:creator>Wei Wei</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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