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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Assessing the impact of point-of-sale beer brand ads through consumer neuroscience research</dc:title><dc:creator>Lukić,	Darko	(Avtor)
	</dc:creator><dc:creator>Starčević,	Slađana	(Avtor)
	</dc:creator><dc:creator>Pitić,	Goran	(Avtor)
	</dc:creator><dc:description>This study employs EEG and eye-tracking to assess how brand equity, creative complexity, and spatial layout influence implicit consumer responses to point-of-sale (POS) beer advertisements. Through the theoretical lens of predictive coding and processing fluency, laboratory testing with Serbian beer consumers (N = 20) revealed that simpler designs yielded superior attention performance across TFD and TTFF (d up to 2.62), independent of brand strength. Spatial repositioning reduced packshot detection time by 0.89s (p&lt;0.001, d=1.78) in horizontal versus vertical layouts. EEG showed no significant brand differences (valence d=0.07, p=0.765), offering a theoretical interpretation consistent with predictive coding, wherein expected stimuli elicit reduced neural activation, with brand strength operating solely through attentional pathways. Eye-tracking revealed strong brands' automatic attentional capture of iconic elements (e.g., letter 'J'; TTFF=0.47s), theoretically reconciled via processing fluency as effortless decoding. We derive actionable POS benchmarks: packshot detection &lt; 0.5s, slogan engagement &gt; 1.0s, emotional valence &gt; 5.0, cognitive load &lt; 5.0. This advances GDPR/NDA-compliant methodology while offering practical guidelines grounded in neurocognitive theory.</dc:description><dc:date>2025</dc:date><dc:date>2025-11-18 11:37:07</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>95992</dc:identifier><dc:identifier>UDK: 659.1:366.1</dc:identifier><dc:identifier>COBISS_ID: 257598723</dc:identifier><dc:identifier>DOI: 10.2478/ngoe-2025-0017</dc:identifier><dc:identifier>ISSN pri članku: 2385-8052</dc:identifier><dc:language>sl</dc:language></metadata>
