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How Consumers Process Unexpected Online Advertisements

The Effects of Motion and Abrupt Onset On Consumers’ Attention and Attitude

Bibliographic Data

ID21340534
AuthorsEmna Cherif (0000-0002-1926-5434, University of Clermont Auvergne), Thierry Baccino (0000-0002-2406-5306, University Paris 8)
Year2022
Volume62
Issue3
Pages219-240
Publication date2022-09-01
Open AccessNo
TypeARTICLE
VenueJournal of Advertising Research (JOURNAL)
Journal identifiersISSN: 0021-8499 • E-ISSN: 1740-1909
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.2501/jar-2022-015
OpenAlexW4285011270
LanguageEN
Citations received2
References cited100

The distinctiveness of neural information representation is crucial for successful memory performance but declines with advancing age. Computational models implicate age-related neural dedifferentiation on the level of item representations, but previous studies mostly focused on age differences of categorical information representation in higher-order visual regions. In an age-comparative fMRI study, we combined univariate analyses and whole-brain searchlight pattern similarity analyses to elucidate age differences in neural distinctiveness at both category and item levels and their relation to memory. Thirty-five younger (18-27 years old) and 32 older (67-75 years old) women and men incidentally encoded images of faces and houses, followed by an old/new recognition memory task. During encoding, age-related neural dedifferentiation was shown as reduced category-selective processing in ventral visual cortex and impoverished item specificity in occipital regions. Importantly, successful subsequent memory performance built on high item stability, that is, high representational similarity between initial and repeated presentation of an item, which was greater in younger than older adults. Overall, we found that differences in representational distinctiveness coexist across representational levels and contribute to interindividual and intraindividual variability in memory success, with item specificity being the strongest contributor. Our results close an important gap in the literature, showing that older adults9 neural representation of item-specific information in addition to categorical information is reduced compared with younger adults. SIGNIFICANCE STATEMENT A long-standing hypothesis links age-related cognitive decline to a loss of neural specificity. While previous evidence supports the notion of age-related neural dedifferentiation of category-level information in ventral visual cortex, whether or not age differences exist at the item level was a matter of debate. Here, we observed age group differences at both levels as well as associations between both categorical distinctiveness and item specificity to memory performance, with item specificity being the strongest contributor. Importantly, age differences in occipital item specificity were largely due to reduced item stability across repetitions in older adults. Our results suggest that age differences in neural representations can be observed across the entire cortical hierarchy and are not limited to category-level information

Categorical variable · Categorization · Cognition · Cognitive psychology · Developmental psychology · Episodic memory · Neural correlates of consciousness · Optimal distinctiveness theory · Preadolescence · Similarity (geometry) · Aesthetic Perception and Analysis · Artificial Intelligence · Computer Science · Face Recognition and Perception · Neural and Behavioral Psychology Studies · Neuroscience · Psychology · Social Psychology

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    John M Pearce, Geoffrey Hall•Psychological Review•1980

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    Yih Hwai Lee, Charlotte H Mason et al.•Journal of Consumer Research•1999

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    Open Access•Anne M Treisman, Anne Treisman et al.•Cognitive Psychology•1980

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    Susan E Heckler, Terry L Childers•Journal of Consumer Research•1992

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    Rik Pieters, Michel Wedel•Journal of Consumer Research•2007

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    Chris Janiszewski•Journal of Consumer Research•1998

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Citations per year0.67
Citation span2023 - 2025 (3)
Highly citedNo

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