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		<title>AI Fuses Video, Audio, EEG and Gaze to Measure Real-Time VR Football Immersion</title>
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				<category><![CDATA[Technology]]></category>
		<category><![CDATA[adaptive gating]]></category>
		<category><![CDATA[cross-modal attention]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[EEG]]></category>
		<category><![CDATA[eye tracking]]></category>
		<category><![CDATA[football broadcasting]]></category>
		<category><![CDATA[immersion assessment]]></category>
		<category><![CDATA[multimodal fusion]]></category>
		<category><![CDATA[ordinal regression]]></category>
		<category><![CDATA[real-time inference]]></category>
		<category><![CDATA[User experience]]></category>
		<category><![CDATA[virtual reality]]></category>
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					<description><![CDATA[A new cross-modal attention network combines match video, commentary audio, EEG and eye-tracking data to assess viewer immersion in VR football broadcasts with 81.6% accuracy while running in real time on consumer-grade hardware.]]></description>
		
		
		
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