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The executed study evaluated the influence of manual and speech input on driving quality, stress and strain situation and user acceptance when using a Driver Information System (DIS). The study is part of the EU-project SENECA. 16 subjects took part in the investigations. A car was equipped with a modified DIS to carry out the evaluation in real traffic situations. The used DIS is a standard pr...

BACKGROUND/OBJECTIVE Transcutaneous electrical stimulation has been proven to modulate nervous system activity, leading to changes in pain perception, via the peripheral sensory system, in a bottom up approach. We tested whether different sensory behavioral tasks induce significant effects in pain processing and whether these changes correlate with cortical plasticity. METHODOLOGY/PRINCIPAL F...

Conditional random fields (CRFs) have been successful in many sequence labeling tasks, which conventionally rely on a hand-craft feature representation of input data. However, a powerful data representation could be another determining factor of the performance, which has not attracted enough attention yet. We describe a novel sequence labeling framework for gesture recognition, which builds a ...

Designing the representation languages for the input,LE, and output, LH, of a learning algorithm is the hardest task within machine learning applications. This paper emphasizes the importance of constructing an appropriate representation LE for knowledge discovery applications using the example of time related phenomena. Given the same raw data { most frequently a database with time-stamped dat...

The insertion of data in personal devices (e.g. mobile phones, GPS devices) tends to distract us from the primary task (e.g driving) that we are executing because of the necessity of deviating our visual attention to a secondary task. In this work we have tested the benefits introduced by the haptic feedback as a facility for a very common secondary tasks, namely the insertion of strings in an ...

The idea that it should be easier to learn several tasks if they are related in some way is quite intuitive and has been found to work in many practical settings. There has been some interest in obtaining theoretical results to better understand this phenomenon (e.g. [3, 4]). Maurer [4] considers the case when the “relatedness” of the tasks is captured by requiring that all tasks share a common...

On-line analytical processing (OLAP) systems deal with analytical tasks in businesses. As these tasks do not depend on the latest updates by transactions, it is assumed that the data used in OLAP systems are kept in a data warehouse, which separates the input coming from operational databases from the output going to dialogue interfaces for OLAP. In this article we present a 3-tier architecture...

We present the Narrator, a Natural Language Generation component used in a digital storytelling system. The system takes as input a formal representation of a story plot, in the form of a causal network relating the actions of the characters to their motives and their consequences. Based on this input, the Narrator generates a narrative in Dutch, by carrying out tasks such as constructing a Doc...

To adapt users’ input and tasks an interactive system must be able to establish a set of assumptions about users’ profiles and task characteristics, which is often referred as user models. However, to develop a user model an interactive system needs to analyze users’ input and recognize the tasks and the ultimate goals users trying to achieve, which may involve a great deal of uncertainties. In...