The advancement of autonomous driving technology presents both opportunities and challenges for drivers. These technologies allow drivers to temporarily engage in non-driving related tasks (NDRT) like watching videos or playing games but still play a supervisory role, making takeover issues critical. To enhance the development of situation awareness (SA) in takeover scenarios with varying context accessibility, this study proposed an advanced takeover requests (TOR) design that integrates the concept of monitoring requests (MR). Drivers can initiate control during the monitoring phase whenever deemed necessary. This study provided two types of TOR designs: with and without situational information. Two takeover scenarios: explicit and implicit scenarios. This study constructed a driving simulator cabin and used the Wizard of Oz method to simulate autonomous driving, collecting data on takeover reactions and vehicle dynamics from 32 participants. The statistical analyses indicated that the interaction between TOR designs and takeover scenarios highlights minimum time-to-collision (TTC) and lane change time, respectively. Providing SA information enables the driver to complete lane changes more planned in explicit-context scenarios, benefiting overall SA quality and increasing minimum TTC, enhancing safety margins. Consequently, TOR design should focus on delivering current vehicle dynamic information to improve the overall quality of SA. Although lane changes are executed quickly in implicit-context scenarios, the remaining minimum TTC is lower, suggesting that drivers may perform hasty lane changes. Therefore, TOR design should prioritize providing key hazard clues.