Home // ACHI 2016, The Ninth International Conference on Advances in Computer-Human Interactions // View article
Authors:
Hajer Taktak
Ines Riahi
Faouzi Moussa
Keywords: Human-computer interaction; user model; task model; Petri Net; MDA; TuneIn
Abstract:
The development of ubiquitous applications is inherently complex. The adaptation process enhances the efficiency of an application by the user interface design based on several essential steps such as: system modeling, task analysis, user profiling and interface specification. A number of different approaches have been proposed to build context-aware user interfaces. In this literature, the Human-Computer interaction, namely, the task analysis is often managed without explicitly integrating the user model. This latter is operated inside a context model and has few impacts on the interaction during its progress. In order to deal with this situation, we propose an adaptive user interface based on a model driven architecture that would transform an initial task model to an interaction model through the integration of environment information, user profile and tasks to be performed. The proposed approach takes advantages of the ontology written in Web Ontology Language (OWL) in order to define user’s profile and of domain ontology for persons suffering from disabilities. The abstract task model is formalized as a Petri Net that analyzes the communication flows between users, environment and tasks.
Pages: 225 to 232
Copyright: Copyright (c) IARIA, 2016
Publication date: April 24, 2016
Published in: conference
ISSN: 2308-4138
ISBN: 978-1-61208-468-8
Location: Venice, Italy
Dates: from April 24, 2016 to April 28, 2016