OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 18.03.2026, 13:55

Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.

Younger adults may be faster at making semantic predictions, but older adults are more efficient.

2025·3 Zitationen·Psychology and AgingOpen Access
Volltext beim Verlag öffnen

3

Zitationen

3

Autoren

2025

Jahr

Abstract

While there is strong evidence that younger adults use contextual information to generate semantic predictions, findings from older adults are less clear. Age affects cognition in a variety of different ways that may impact prediction mechanisms; while the efficiency of memory systems and processing speed decrease, life experience leads to complementary increases in vocabulary size, real-world knowledge, and even inhibitory control. Using the visual world paradigm, we tested prediction in younger (<i>n</i> = 30, between 18 and 35 years of age) and older adults (<i>n</i> = 30, between 53 and 78 years of age). Importantly, we differentiated early stage predictions based on simple spreading activation from the more resource-intensive tailoring of predictions when additional constraining information is provided. We found that older adults were slower than younger adults in generating early stage predictions but then quicker than younger adults to tailor those predictions given additional information. This suggests that while age may lead to delays in first activating relevant lexical items when listening to speech, increased linguistic experience nonetheless increases the efficiency with which contextual information is used. These findings are consistent with reports of age having positive as well as negative impacts on cognition and suggest conflation of different stages of prediction as a basis for the inconsistency in the aging-related literature to date. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Ähnliche Arbeiten

Autoren

Institutionen

Themen

Artificial Intelligence in Healthcare and EducationAging and Gerontology ResearchExplainable Artificial Intelligence (XAI)
Volltext beim Verlag öffnen