## 7 Conclusions and Future Work  
This paper presents the development of an ontology-based customisation management system for DVIs in HAVs, aiming at enhancing safety and minimising accident hazards to ensure legal responsibility. Several key aspects of interests are focused on in this study, starting with the importance of DVIs for highly automated cars and the need for a system that can securely interact using adaptive personalisation. The results indicate that the Onto-CMS allows for dynamic adaptation to individual preferences, preserving the integrity of standardised safety elements. It ensures that critical components, such as the emergency pedal icon, remain unchanged, while still offering flexibility for customisation based on the driver's needs to improve safety. Our system enables more targeted and safer customisations that automatically adjust to changes in the driver's condition, offering greater flexibility. In fact, if the drivers' conditions were to change over time, the Onto-CMS would adapt without needing manual updates. This highlights how ontologies enable the smoother and more responsive management of preferences. At the end of this research, we can address the questions raised in Section 1 as follows. * _How could an ontology of driver profiles be used to personalise interfaces without compromising the issues of safety and consistency?_ The Onto-CMS adapts to the driver's preferences, maintaining interface changes based on personal characteristics. This makes it easier and safer to customise, while adapting to changes without manual intervention. * _What aspects of the driver profile ontology must be globally standardised to ensure safety, while allowing flexibility for non-essential customisation?_ The research highlights the importance of standardising critical safety parameters in a driving system to ensure safety and consistency across different vehicles and contexts. These parameters must remain consistent to avoid confusion or errors that could lead to accidents, especially in high-pressure or emergency situations. However, the Onto-CMS offers flexibility in non-critical areas, offering customisation for non-critical elements that do not compromise driver safety. These could include preferences such as the colour scheme of the interface, the size of certain icons or the layout of less essential controls. By giving the driver the ability to personalise these non-critical elements, the Onto-CMS ensures a more comfortable and user-friendly experience without compromising the overall safety of the system. * _How would customised interfaces enhance performance and response times of drivers in life-critical situations?_ The Onto-CMS improves driver performance during emergencies or high-stress situations. By dynamically adjusting the interface based on the driver's profile, the Onto-CMS can improve the driver's responsiveness at critical junctures. Thus, this could offer more appropriate support during stressful or emergency situations. The Onto-CMS also has certain limitations. One of the main challenges lies in managing the broad spectrum of driver preferences, which can vary significantly from person to person due to factors such as age, physical conditions and driving experience. To address this challenge, the meticulous personalisation of variables is required, supported by sophisticated management tools that may be difficult to implement universally. Moreover, as the Onto-CMS relies on data collected from drivers to personalise experiences, managing sensitive information, such as preferences and characteristics, raises significant concerns related to privacy and data security. Special attention must also be given to the protection of information gathered by automated vehicles. Lastly, some drivers might be reluctant to adopt a highly customisable system, preferring simpler and more traditional interfaces, particularly if they lack familiarity with advanced technologies. Another critical challenge associated with the system's implementation concerns scalability.