Revista Romana de Interactiune Om-Calculator

183-216

Authors: Jorge Luis Pérez Medina

Cross-functional teams with different technical backgrounds working on cross-platform environments require the production of flexible modeling of user interfaces in early steps of a design process. We observe that model-driven engineering (MDE) is currently gaining acceptance in many domains. However, existing solutions have no support for collaborative prototyping of user interfaces by sketching recognition for multiple stakeholders (e.g., designers, developers, final end users) working with heterogeneous computing platforms (e.g., smartphones, tablets, laptops, desktop), on different, perhaps separate or shared, interaction surfaces (e.g., tables, whiteboards) in a co-located way or remotely. This requires flexibility to explore and reuse vague and uncertain ideas as model sketching. This paper presents UsiSketch, an MDE method for modeling sketches that offers the following novel features resulting from a requirement elicitation process: sketching recognition on different surfaces based on a new recognition algorithm that accommodates very large surfaces and model-based design of user interfaces with collaboration.

233-254

Authors: Alexandru Hulea, Traian Rebedea

In this paper, we present an automatically annotated corpus based on movie screenplays (script) and subtitles. We extract the relevant textual information from movie screenplays and subtitles using a regular expression approach. Then, we synchronize screenplays with subtitles using a matching algorithm, thus bounding each sentence from a script between two temporal limits. We also developed an application using the corpus to test our approach and to show practical situations where this corpus is useful. The application employs topic detection and it involves searching for a specified topic in the movie text and marking the topic as non-existent, episodic or primary topic for the analyzed text. The major problem we faced while working on this system was the unexpected structure of the screenplay sheets as this kind of files are not entirely written using a standardized format which can be easily parsed and structured automatically. Some types of errors can be overcome with regular expressions, but there are other errors that need a machine learning approach to be surpassed.