Multi-chart large-screen interface has the characteristics of large size, multi-user, integrated design, real-time updating, and synchronous display of multiple charts, etc., which is a commonly used form of human-computer interaction interface in various types of complex enterprise regulatory systems. However, as screen size and information density increase, the user's perception of information in the multi-chart interface becomes more complex, and it is necessary to obtain cueing information through cross-chart correlation interaction feedback, to cognitively process multi-objective information. In this study, we examined the visual cueing effects of three typical forms of associative interaction feedback (label background, chart background, chart border) and no feedback form in multi-graph large-screen interfaces, and demonstrated that different forms of interaction feedback have different cueing effects on visual search behavior. A within-subjects experimental design was employed, with the independent variables being the type of feedback and the amount of associative interaction feedback (1, 2, 3, or 4). The results revealed that both the type and quantity of associative interaction feedback significantly influenced the cueing effect. Among the feedback types, chart background feedback demonstrated the most effective prompting for visual search behavior, outperforming the other forms.