Top-down suppression of negative features applies flexibly contingent on visual search goals

视觉搜索 心理学 感知 认知心理学 选择性注意 匹配(统计) 任务(项目管理) 负启动 社会心理学 沟通 认知 神经科学 数学 统计 经济 管理
作者
Marlene Forstinger,Ulrich Ansorge
出处
期刊:Attention, perception & psychophysics [Springer Science+Business Media]
卷期号:86 (4): 1120-1147 被引量:3
标识
DOI:10.3758/s13414-024-02882-x
摘要

Visually searching for a frequently changing target is assumed to be guided by flexible working memory representations of specific features necessary to discriminate targets from distractors. Here, we tested if these representations allow selective suppression or always facilitate perception based on search goals. Participants searched for a target (i.e., a horizontal bar) defined by one of two different negative features (e.g., not red vs. not blue; Experiment 1) or a positive (e.g., blue) versus a negative feature (Experiments 2 and 3). A prompt informed participants about the target identity, and search tasks alternated or repeated randomly. We used different peripheral singleton cues presented at the same (valid condition) or a different (invalid condition) position as the target to examine if negative features were suppressed depending on current instructions. In all experiments, cues with negative features elicited slower search times in valid than invalid trials, indicating suppression. Additionally, suppression of negative color cues tended to be selective when participants searched for the target by different negative features but generalized to negative and non-matching cue colors when switching between positive and negative search criteria was required. Nevertheless, when the same color - red - was used in positive and negative search tasks, red cues captured attention or were suppressed depending on whether red was positive or negative (Experiment 3). Our results suggest that working memory representations flexibly trigger suppression or attentional capture contingent on a task-relevant feature's functional meaning during visual search, but top-down suppression operates at different levels of specificity depending on current task demands.
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