Many deaf people have significant reading problems. Written content, e.g. on internet pages, is therefore not fully accessible for them. Embodied agents have the potential to communicate in the native language of this cultural group: sign language. However, state-of-the-art systems have limited comprehensibility and standard evaluation methods are missing. In this paper, we present methods and ...

Predictive modeling applications have a number of concerns. While predictive accuracy is often the primary concern, other issues such as efficiency and robustness are often considered. It is my position that comprehensibility is another concern in predictive modeling applications, and is often an important one. However, without an understanding of comprehensibility in predictive modeling, it is...

The selection of a suitable modelling language influences the success of software modelling. Several experiments comparing the comprehensibility of graphical modelling languages have been published. However, no published study comparing the comprehensibility of functional requirements modelled in different graphical modelling languages exists. This paper evaluates how two requirements modelled ...

Comprehensibility in modeling is the ability of stakeholders to understand relevant aspects of the modeling process. In this article, we provide a framework to help guide exploration of the space of comprehensibility challenges. We consider facets organized around key questions: Who is comprehending? Why are they trying to comprehend? Where in the process are they trying to comprehend? How can ...