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Exploration, Distributed Attention, and Development of Category Learning

Qianqian Wan, Vladimir M. Sloutsky

Psychological Science · 2024 · Volume 35 · Issue 10

DOI: 10.1177/09567976241258146

Abstract

Category learning is a crucial aspect of cognition that involves organizing entities into equivalence classes. Whereas adults tend to focus on category-relevant features, young children often distribute attention between relevant and irrelevant ones. The reasons for children’s distributed attention are not fully understood. In two category-learning experiments with adults and with children aged 4, 5, and 6 ( N = 201), we examined potential drivers of distributed attention, including (a) immature filtering of distractors and (b) the general tendency for exploration or broad information sampling. By eliminating distractor competition, we reduced filtering demands. Despite identifying the features critical for accurate categorization, children, regardless of their categorization performance, continued sampling more information than was necessary. These results indicate that the tendency to sample information extensively contributes to distributed attention in young children. We identify candidate drivers of this tendency that need to be examined in future research.

Keywords

category learning, exploration, distributed attention, selective attention, development, open data, open materials

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