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The retro-cue effect (RCE) describes the finding that participants' working memory performance is enhanced when their attention is directed to the to-be-tested position by a spatial cue during the retention interval. Here, we explore the relationship between RCE and working memory consolidation. A sequential display retro-cue paradigm is used for the present study. In Experiments 1A and 1B, longer consolidation time (CT) completely erased the standard RCE. In Experiment 2, longer CT diminished the RCE in a standard simultaneous display retro-cue paradigm. In Experiment 3, the post-cue time was used by participants to further consolidate memory traces. In Experiment 4, longer CT protected memory representations from invalid cue costs. Our results support a consolidation account of the RCE: the retro-cue is effective when and only when the working memory consolidation is inadequate.

We collaborated with a leading fast-moving consumer goods (FMCG) manufacturer to investigate how intelligent image processing (IIP)-based shelf monitoring aids manufacturers' shelf management by using data from a quasi-experiment and a field experiment. We discovered that such artificial intelligence (AI) assistance significantly and consistently improves product sales. Several underlying mechanisms were revealed by our quantitative and qualitative analysis. First, retailers are more likely to comply due to the greater monitoring effectiveness enabled by AI assistance. Second, the positive effect of IIP-based shelf monitoring partially persists after it is terminated, implying that human learning takes place. Third, the value of IIP-based shelf monitoring can be attributed to independent retailers rather than chain retailers. Since the degree of contract heterogeneity is the major difference between these retailers in terms of monitoring, this finding further suggests that AI is relatively more scalable when coping with more heterogeneous instances. Apart from these great benefits, we demonstrate the low marginal costs of implementing IIP-powered shelf monitoring, which indicates its long-term applicability and potential to generate incremental value. Our research contributes to several literature streams and provides managerial insights for practitioners who consider AI-assisted operational models. [ABSTRACT FROM AUTHOR]

Two experiments investigated the potential role of the content of working memory in guiding visual attention. Experiment 1 showed that maintaining a shape in working memory resulted in a decisive preference for moving attention to the same shape in the background when those shapes were task irrelevant. Experiment 2 showed a similar preference for words that were semantically related to an item held in working memory. We suggest that keeping an item active in working memory automatically results in a tendency for attention to be “attracted” to stimuli that are related to that item either visually or semantically.

Previous research has shown that when the targets of successive visual searches have features in common, response times are shorter. However, the nature of the representation underlying this priming and how priming is affected by the task remain uncertain. In four experiments, subjects searched for an odd-sized target and reported its orientation. The color of the items was irrelevant to the task. When target size was repeated from the previous trial, repetition of target color speeded the response. However, when target size was different from that in the previous trial, repetition of target color slowed responses, rather than speeding them. Our results suggest that these priming phenomena reflect the same automatic mechanism as the priming of pop-out reported by Maljkovic and Nakayama (1994). However, the crossover interaction between repetition of one feature and another rules out Maljkovic and Nakayama's (1994) theory of independent potentiation of distinct feature representations. Instead, we suggest that the priming pattern results from contact with an episodic memory representation of the previous trial.