Abstract
In this paper, I present a framework which considers three independent factors that drive attentional selection. In addition to goal-driven and stimulus-driven selection, I discuss how lingering biases of selection history play a major role in attentional selection. Visual statistical learning of the regularities in the environment forms the basis for this history-based selection which provides an elaborate and flexible attentional biasing mechanism above and beyond goal-driven and stimulus-driven factors. A selection based on experience and history is fast, automatic and occurs without much, if any, effort. I conclude that learning and extracting the distributional properties of the environment have a major impact on attentional selection.
Original language | English |
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Pages (from-to) | 97-101 |
Number of pages | 5 |
Journal | Current opinion in psychology |
Volume | 29 |
Early online date | 7 Jan 2019 |
DOIs | |
Publication status | Published - Oct 2019 |
Funding
This work was supported by an ERC advanced grant under grant number ERC-2012-AdG – 323413 awarded to Jan Theeuwes.
Funders | Funder number |
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H2020 European Research Council | ERC-2012-AdG – 323413 |
Seventh Framework Programme | 323413 |