The introduction of hint information in Zero-Shot Object Navigation (ZSON) tasks has significant implications for real-world applications by enhancing the efficiency and accuracy of goal object localization. In practical settings, environmental cues like textual hints play a crucial role in aiding navigation and decision-making processes. By incorporating hint information into ZSON tasks, agents can leverage contextual clues to deduce the potential location of goal objects more effectively. This integration enables agents to prioritize search areas based on textual guidance, leading to quicker identification and retrieval of target objects within complex environments. The utilization of hints not only improves navigation performance but also reflects how AI systems can benefit from multimodal inputs for enhanced understanding and decision-making capabilities.