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Description: Overall, a few previous studies have assessed the interaction between reward and prevalence on the allocation of attention (Navalpakkam, Koch & Perona 2009; Won & Leber, 2016; Clark & Gilchrist, 2018). The aim of the proposed series of experiments is to test the interaction of these two effects and investigate whether increasing the reward value assigned to a low prevalent target, can increase its detectability. Moreover, in the proposed series of experiments, the effects of prioritisation on object-based, rather than spatial-based, attention will be investigated in a static Multiple Target Search (MTS) task with real-life stimuli. As a first step towards achieving this aim, we needed to replicate the basic target prevalence effect and reward effect in the current modified MTS paradigm with more realistic objects. After that, the interaction of prevalence and reward effect can be explored, looking at whether or not prevalence effect can be controlled or even reversed, through the manipulation of reward. In the first experiment of this series (https://osf.io/8x647) evidence in favour of the prevalence effect in the current modified MTS task was found, indicated by the quicker and more accurate detection of high versus low prevalent targets. In the second experiment of this series (https://osf.io/gnjbx/) evidence supporting the effect of reward on target detection (Kiss, Driver, & Eimer, 2009; Krebs, Boehler, & Woldorff, 2010) has been found, indicated by the quicker and more accurate detection of high versus low rewarded targets. This particular experiment now aims to combine both prevalence and reward effects in order to explore whether detection efficiency of low prevalent targets can be improved through reward. Therefore, as prevalence of targets decreases, the reward that participants will receive upon quick and accurate detection will increase. The question is whether reward can be used to control and even reverse the prevalence effect.