Abstract

    Open Access Research Article Article ID: TCSIT-8-162

    Exploring the user’s preferences of different adaptation policies in adaptive menu design

    Prashant Poudel* and Sushil Shrestha

    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.

    Keywords:

    Published on: Feb 15, 2023 Pages: 5-11

    Full Text PDF Full Text HTML DOI: 10.17352/tcsit.000062
    CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat

    Indexing/Archiving

    Case Reports

    Pinterest on TCSIT