Evaluating User Interface Adaptation using the Context of Use

Evaluating User Interface Adaptation using the Context of Use

Makram Soui (Higher Institute of Management Tunis, Le Bardo, Tunisia), Khaled Ghedira (Higher Institute of Management Tunis, Le Bardo, Tunisia) and Mourad Abed (University of Lille Nord de France, Villeneuve-d'Ascq, France)
DOI: 10.4018/IJARAS.2015010101


The aim of adaptive user interface is to provide different layouts and relevant information according to the current context-of-use (users, platforms and environments). Today, these systems are indispensable to those who want to retrieve appropriate information with less effort at anytime and anywhere. In this paper, the authors present an approach to automatically evaluate UI adaptation at runtime. The idea consists on foreseeing the evaluation from the early stages of application development by integrating a tracing system which represents the first phase of a user-centred approach for the design and the evaluation of adaptive system (AS) called MetTra (evaluation METhod based on a TRAcing system). In fact, the authors will explain in depth the stages of tracing mechanism integration in AS design, with illustrations concerning transport applications. Finally, they will propose some future works.
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From Interactive System To Adaptive System

In general, Adaptive Systems are designed to adapt or personalize systems for every individual user or group of users in every context, thereby increasing the system’s flexibility and effectiveness (Hook 2000). This adapted output has the potential to be a great benefit for users: it is geared towards the user’s preferences, behavior or needs and can enhance operator interaction with a system by making the system more efficient, effective and easy to use. Adaptive systems offer many advantages. Among the many benefits, we can cite:

Business Benefits

In electronic commerce domain, personalization contributes to a variety of e-business goals: retaining current customers, re-engaging customers a mainly it increasing the odds that a browser will become a buyer. Toward this end, personalization brings targeted, high-value purchase opportunities directly to the user by positioning desired content in front of a user (Tran et al., 2000; Karat et al. 2004).

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