Adaptive User Interfaces (AUIs) have been developed to improve the usability of products by adapting to the user, the platform, and the environment. However, there is a limited understanding of how different adaptation policies impact personalization and usability in adaptive menus. The present study aimed to investigate the effectiveness of different adaptation policies in adaptive menu design. The study surveyed computer science students at Kathmandu University and conducted a usability study to gather data. The results of the study showed that a majority of participants were neutral in their perception of the ease of use of the websites they regularly visit, but a strong majority (83%) indicated a preference for personalized menu options. Personalization was found to be a key factor in the effectiveness of adaptive menus. Participants valued the ability of adaptive menus to tailor their options based on their specific needs or preferences. The findings of this study provide insight into users’ preferences for adaptation policies in adaptive menus and suggest that a recency-frequency-based menu is most effective in meeting users’ needs. Similarly, findings also suggest users’ preference for adaptation policy also changes based on the context of use. Future research could further investigate the effectiveness of different adaptation policies in different contexts of use.

Looking at the heterogeneous system, this paper touches on the architecture of heterogeneous systems, program models, and some challenges in this field. Heterogeneous systems have become an important development trend in the current high-performance computing field. Heterogeneous systems can be seen from smartwatches, mobile phones and laptops to server systems. This paper will explore different types of heterogeneous systems such as CPU-GPU architecture, and ARM big. Little architecture. The program model for different types of heterogeneous systems where we will see how different architecture heterogeneous systems work. Then we will see some of the challenges in the heterogeneous system and finally some recommendations for future work.

Intelligent User Interface (IUI) is an emerging interdisciplinary research area that focuses on improving the usability of existing user interfaces. Adaptive menus are the part of the IUI that is trying to improve existing menus’ usability by reducing the selection time. This paper surveys the most relevant studies that are carried out in this field. First, it introduces an Adaptive User Interface (AUI) and adaptive menus then describe various adaptation styles and adaptation policies that are being used in adaptive menus along with their benefits and drawbacks. It then lists the applications of adaptive systems and how they can be used, as well as the limitations and future direction of the work.