No abstract

No abstract

Updating an operational system is often complex and awkward. In this article, we will explain how the concept of multi-layer interface could facilitate the evolution of operational interactive systems. We will explain how the division in several layers could increase the application acceptance and smooth out learning phases. Furthermore, we will present how we implement this concept in the ASTER project.

Predictive models, based on cognitive and motor laws (modeling some aspect of human behaviors), were supposed to provide an efficient tool to compare quickly soft keyboards performances, but these models are confronted with some limits. Moreover, they failed to predict efficiently the performances during the first usage that got an important impact on soft keyboard acceptability. To improve these models, the authors integrated into them the character search strategies oriented by the user’s background. They illustrate their purpose by modeling three keyboards and comparing the results with experimental ones. The models integrating the user’s background predicted results close to the experimental ones. However, those models must be adapted to the function of the keyboard and the targeted population. The applicability of the models as a rapid comparison tool for soft keyboards must be questioned.

Abstract. In this paper we describe Semantic Keyboard: a soft keyboard augmented by semantic pointing. The cursor crosses faster over keys containing low-probability letters (considering the prefix already entered). This optimization reduces the movement of the pointer by 60%, and increases the text entry speed by 13.5% after the first character in a word. Accuracy is equivalent to a regular soft keyboard.