The Depth and Complexity of Unconscious Processing

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Whether and to what degree information can be processed non-consciously has been a matter of debate since the emergence of psychology as a science. Emotional information, in particular, has often been assumed to have a privileged status because of its relevance for well-being and survival (e.g., to detect a threat). Indeed, many studies have explored non-conscious processing of evaluative (i.e., “emotional” in a broad sense) or emotional (e.g., facial expressions) features using the “silver bullet” of non-consciousness research – the masked sequential priming paradigm. In its prototypical form, this paradigm involves the categorization of target stimuli according to valence (e.g., is the target positive or negative?). Each target is preceded by a briefly presented prime that is followed by a mask to constrain awareness. Non-conscious processing is inferred from subtle influences of the prime on target processing, that is, whether responses are faster if prime and target are valence-congruent or not. We will review this research with a focus on three questions: first, which methods are used in this area to establish non-conscious processing? Second, is there evidence for non-conscious extraction of evaluative information? Third, is there evidence for non-conscious processing beyond a simple valence (positive/negative) discrimination, for example, processing of emotion-specific information? We will highlight important current debates and potential directions in which the field will move in the future.

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Mini Review
14 January 2021
An illustration of findings of studies of unconscious integration published since 2013, outlined according to SPIW, TIW, and SIW. For all panels, red markers indicate experiments that were interpreted by the authors as suggesting no integration over that window, and green markers represent experiments that were interpreted by the authors as showing positive evidence for unconscious integration. (A) SPIW: the x axis denotes the number of integrated items, and the y axis describes the type of stimuli in the experiment, ordered in ascending complexity, as interpreted by the authors. Marker size describes the level of cognitive complexity the task required, as interpreted by the authors (in ascending order: similarity judgment, congruency, classification, language integration, holistic integration, and problem solving. In the absence of a clear metric of complexity, the suggested order is based on our assessment of the required cognitive effort). (B) TIW: the x axis denotes the duration of the integration window, and the y axis describes the type of stimuli in the experiment, ordered in ascending complexity, as interpreted by the authors. Marker size describes the level of cognitive complexity of the task, as interpreted by the authors (in ascending order: shape processing, motion inference, congruency, classification, language integration). (C) SIW: the x axis denotes the visual angle of the area captured by the integrated items, and the y axis describes the complexity of the visual stimulus, as interpreted by the authors (in increasing order: line, shape, 3D, size illusion, and illusory contour). Experiments that belong to the same research paper are marked with an identical shape.
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Original Research
02 September 2020

To investigate the relation between attention and awareness, we manipulated visibility/awareness and stimulus-driven attention capture among metacontrast-masked visual stimuli. By varying the time interval between target and mask, we manipulated target visibility measured as target discrimination accuracies (ACCs; Experiments 1 and 2) and as subjective awareness ratings (Experiment 3). To modulate stimulus-driven attention capture, we presented the masked target either as a color-singleton (the target stands out by its unique color among homogeneously colored non-singletons), as a non-singleton together with a distractor singleton elsewhere (an irrelevant distractor has a unique color, whereas the target is colored like the other stimuli) or without a singleton (no stimulus stands out; only in Experiment 1). As color singletons capture attention in a stimulus-driven way, we expected target visibility/discrimination performance to be best for target singletons and worst with distractor singletons. In Experiments 1 and 2, we confirmed that the masking interval and the singleton manipulation influenced ACCs in an independent way and that attention capture by the singletons, with facilitated performance in target-singleton compared to distractor-singleton conditions, was found regardless of the interval-induced (in-)visibility of the targets. In Experiment 1, we also confirmed that attention capture was the same among participants with worse and better visibility/discrimination performance. In Experiment 2, we confirmed attention capture by color singletons with better discrimination performance for probes presented at singleton position, compared to other positions. Finally, in Experiment 3, we found that attention capture by target singletons also increased target awareness and that this capture effect on subjective awareness was independent of the effect of the masking interval, too. Together, results provide new evidence that stimulus-driven attention and awareness operate independently from one another and that stimulus-driven attention capture can precede awareness.

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