测试注意力转移之间的偏差竞争:新的多重线索范式

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-07-01 Epub Date: 2024-05-02 DOI:10.1037/xhp0001194
Franziska Oren, Søren Kyllingsbæk, Dawa Dupont, Thor Grünbaum
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引用次数: 0

摘要

经典的波斯纳诱导范式被用于研究单一内源性注意转移的诱导,而我们提出了一种新的多重诱导范式,用于研究多重内源性注意转移之间的竞争。新范式使我们能够操纵相互竞争的注意力转移的数量及其相对重要性。在三个实验中,我们证明了从其他相关注意力转移中选择一个的过程是由有限的能力和有偏见的竞争所支配的。我们证明,执行最佳注意力转移的概率受到竞争执行的注意力转移总数的影响,而奖励是在注意力转移之间进行选择的决定性因素。我们用一个最新的反应集偏向选择数学模型(意向选择模型 [MIS])来解释我们的结果。我们的新范式是对意向选择模型的重要检验,也是研究从长时记忆(LTM)中检索反应集的内在机制的重要新工具。该模型(MIS)和新的多线索范式可以为工具性行动的反应集的LTM表征以及行动控制中的习惯性和目标导向性加工提供一个新的视角。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
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Testing biased competition between attention shifts: The new multiple cue paradigm.

While the classic Posner cuing paradigm has been used to study cuing of a single endogenous shift of attention, we present a new multiple cue paradigm to study the competition between multiple endogenous shifts of attention. The new paradigm enables us to manipulate the number of competing attention shifts and their relative importance. In three experiments, we demonstrate that the process of selecting one among other relevant attention shifts is governed by limited capacity and biased competition. We show that the probability of performing the most optimal attention shift is influenced by the total number of attention shifts competing for execution and that reward is a determining factor for the selection between attention shifts. We explain our results with a recent mathematical model of biased selection of response sets (the model of intention selection [MIS]). Our new paradigm offers a critical test of MIS and is an important new tool for investigating the mechanisms underlying the retrieval of response sets from long-term memory (LTM). The model (MIS) and the new multiple cue paradigm can provide a new perspective on LTM representations of response sets for instrumental action and on habitual and goal-directed processing in action control. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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