Preference-Aligned Options from Generative AI Compensates for Age-Related Cognitive Decline in Decision Making
Sayaka Ishibashi, Kou Tamura, Ayana Goma, Kenta Yamamoto, Kouhei Masumoto

TL;DR
This study shows that generative AI helps older adults make decisions more easily by reducing cognitive load, especially in unfamiliar situations, without affecting their satisfaction with choices.
Contribution
It demonstrates that AI can compensate for age-related cognitive decline in decision making by easing information search and choice difficulty.
Findings
AI reduces perceived choice difficulty in older adults
AI benefits are greater in unfamiliar contexts
Choice satisfaction remains unchanged with AI use
Abstract
Older adults often experience increased difficulty in decision making due to age-related declines particularly in contexts that require information search or the generation of alternatives from memory. This study examined whether using generative AI for information search enhances choice satisfaction and reduces choice difficulty among older adults. A total of 130 participants (younger, n = 56; older, n = 74) completed a music-selection task under AI-use and AI-nonuse conditions across two contexts: previously experienced (road trip) and not previously experienced (space travel). In the AI-nonuse condition, participants generated candidate options from memory; in the AI-use condition, GPT-4o presented options tailored to individual preferences. Cognitive functions, including working memory, processing speed, verbal comprehension, and perceptual reasoning, were assessed. Results showed…
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Taxonomy
TopicsTechnology Use by Older Adults · Cognitive Functions and Memory · Aging and Gerontology Research
