Abstract
AbstractInformation representation plays very important role for services and applications to be more attractive for end user. One design cannot fit varied preferences and be suitable for all users. User driven customization of user interface applied for particular application or service do not influence at overall satisfaction of a user and usability of other applications and services. Therefore, in the paper authors tackle challenges of UI personalization on semantic level; and present a framework for adaptive UI development, driven by personal semantic user profile and mashup of reusable adaptive visualization modules. Considering human as a powerful integrated part of IoT environment, UI adaptation and personalization framework has been extended with automated ontology-based UI creation (Semantic Scanner concept). Presented approach of on-the-fly semantically-driven adaptive UI creation facilitates a process of human integration into machine-oriented infrastructure.
Highlights
Information representation plays very important data/information representation view, there is no guarantee role for services and applications to be more attractive for end that the view is attractive for all users
Personalization framework has been extended with automated ontology-based user interfaces (UIs) creation (Semantic Scanner concept)
UI creation facilitates a process of human integration into preferences as color, size, location of navigation elements, machine-oriented infrastructure
Summary
Preferences of a user and apply personalized data/information visualization approach [3] in runtime. Human requires a technology and tools for easy and handy access to information and things Another issue that will be covered in this paper is an on-the-fly UI creation to allow human to interact with digital things (services, devises, sensors/actuators, etc.) that do not have human interface and communicate with other things through semantic API. The main goal is to make any application or service able to meet individual requirements of a user, adapt to specifics of user’s information sensing and expression, and support meaningful communication with him/her This requires elaboration of a mechanism to semantically describe user specifics and preferences (semantic profile) and a mechanism for management (store, access and exchange) of it (see Fig. 1).
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