Eric Céret

QUIMERA: a quality metamodel to improve design rationale

With the increasing complexity of User Interfaces (UI) it is more and more necessary to make users understand the UI. We promote a Model-Driven approach to improve the perceived quality through an explicit and observable design rationale. The design rationale is the logical reasons given to justify a designed artifact. The design decisions are not taken arbitrarily, but following some criteria. We propose a Quality Metamodel to justify these decisions along a Model-Driven Engineering approach.

Using software metrics in the evaluation of a conceptual component model

Every interactive system has a functional part and an interactive part. However the software engineering and the human-computer-interaction communities work separately in terms of methods, models and tools, which induces a work overhead for integrating the results of these efforts, as well as increased inconsistency risks. We endeavour to treat this problem by proposing a design method, which couples the functional kernel and the interaction design. In particular, this method proposes a specific way of structuring the interaction and the business spaces. The structure is based on components called Symphony Objects. In this article, we attempt to evaluate the technical aspect of a Symphony Object model issued from the method by measuring its implementations with software metrics.

Toward a generic architecture for UI adaptation to emotions

Adapting at runtime user interfaces is a well-known requirement in human computer interaction which becomes a very challenging task when taking into account dynamic user properties such as emotions. To address the question of adapting user interfaces to emotions, we propose Perso2u is an architecture to personalize user interfaces with user emotions at runtime. This approach relies on emotion recognition tools which raises the question of accuracy This paper aims at showing that it is possible to obtain similar emotion results from several tools based on face recognition to emphasize the independence of the emotion inferring engine and more globally of the architecture. To achieve this goal, this paper reports on the results of an experiment to compare three emotion detection tools.