The development of hand-crafted action and dialog generation models for a social robot is a time consuming process that yields a solution only for the relatively narrow range of interactions envisioned by the programmers. In this paper, we propose a data-driven solution for interactive behavior generation that leverages online games as a means of collecting large-scale data corpora for human-ro...

To enable knowledge access across languages, ontologies that are often represented only in English need to be translated into different languages. Since manual multilingual enhancement of domain-specific ontologies is very time consuming and expensive, smart solutions are required to facilitate the translation task for the language and domain experts. For this reason, we present ESSOT, an Exper...

Given the proven usefulness of ontologies in many areas, the representation of logical axioms associated to ontological concepts and relations has become an important task in order to create an expressive representation of domain knowledge. Manual inclusion of logical axioms into an ontology can be a harsh, time consuming task. As a result, very few ontologies include axioms in their formal def...

To give the user proper assistance, an interface agent should be able to predict the user's intentions. Usually, they achieve that through the use of a detailed task model for a particular application domain. However, to develop such knowledge representations is a difficult and time-consuming activity. Generally, it is tedious and annoying for the agent developers to express such knowledge manu...

Transcription of handwritten text in (old) documents is an important, time-consuming task for digital libraries. In this paper, an efficient interactivepredictive transcription prototype called GIDOC (Gimp-based Interactive transcription of old text DOCuments) is presented. GIDOC is a first attempt to provide integrated support for interactive-predictive page layout analysis, text line detectio...

Running SCC graph algorithms on large datasets can be a time-consuming task, and we spent the quarter investigating methods of parallelizing this task using CUDA. For very large graphs, too much time can be wasted by not parallelizing the graph algorithms, and we want some of the insights from our experiments to be used to speed up common graph analysis tasks. We initially started by implementi...

The goal of this shared task was to predict attrition in a MOOC through use of the data and logs generated by the course. Our approach to the task reinforces the idea that the process of gathering and structuring the data is more important (and more time consuming) than the predictive model itself. The result of the analysis was that a subset of 15 different data features did a sufficiently goo...

Object layout in a large 3D-scene or in a complex virtual environment is a time-consuming and tedious task. In order to assist the user in this task, we present a general-purposed constraint-based system. The underlying constraint solver is built on a genetic algorithm. It is able to process a complex set of constraints, including geometric and pseudo-physics ones. Moreover, universal quantifie...

Usability evaluation can be significantly improved using cognitive modeling. Even though it can help to understand and predict human behavior, the method is not widely applied in industrial environments, due mainly to the time-consuming model development process. We developed a high-level framework for cognitive modeling, HTAmap, which aims to reduce the modeling effort. The process of building...

Annotating photos is such a time-consuming, tedious and error-prone data entry task that it discourages most owners of personal photo libraries. B y allowing users to drag labels such as personal names from a scrolling list and drop them on a photo, we believe we can make the task faster, easier and more appealing. Since the names are entered in a database, searching for al l photos of a fiiend...