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Subject: search.filters.subject.Personalization

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    PublicationOpen Access
    Space Modification and Personalization in Public Housing: Case of Walk-Up Apartments in Sri Lanka
    (researchgate.net, 2019-11) Kularatne, K; Ajanthi Coorey, S. B; Perera, R
    Public housing programs are critical in developing countries such as Sri Lanka where Governments’ aim to accommodate housing affordability through a dynamic housing market addressing the desired housing mobility and choice of housing solutions. The process of public housing production lacks end-user participation in its design stage and instead provides a typical layout to communities with similar needs and requirements. Nevertheless, the end user inhabits the house by a process of modifications addressing their changing needs and requirements. But such process has no involvement of an Architect, thus modifications done without space planning and design knowledge, results in inhabitable spaces and poor quality of the living environment. This study explores the personalization strategies of the public housing process taking two ‘walk-up apartments’ type of public housing schemes as a case study.
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    PublicationEmbargo
    Dynamic User Interface Personalization Based on Deep Reinforcement Learning
    (2021-12-09) Silva, K. G. G. H.; Abeyasekare, W. A. P. S.; Dasanayake, D.M. H. E.; Nandisena, T. B.; Kasthurirathna, D.; Kugathasan, A.
    Personalization is one of the most sought out and popular methods for brand recognition and consumer attraction. The usage of deep reinforcement learning due to its’ ability to learn actions the way humans learn from experience, if utilized and evaluated properly it can result in a revolutionary effect on personalization. The methodology proposed in this research utilizes deep reinforcement learning where an artificial agent may be trained by interacting with its environment. Utilizing the experience gathered, the agent is able optimize in the form of rewards. The approach explained, can be utilized across applications which can be personalized. Several scenarios ranging from changing the layout of webpages, to rearranging icons on mobile home screens are discussed. The main objective is to develop an API for the web developers and smartphone manufacturers to utilize so that depending on the application personalization can be achieved by enhancing saliency, minimizing selection time, increasing engagement, or an arrangement of these. The technique can manage a variety of adaptations, such as how graphical elements are shown and how they behave. An experiment was conducted which showcased improved user experience considering the position change of the