2006 – 2008

Developing "Neurotic" Personality Agents

Increasing the Fascination of Synthetic Actors e.g. in Computer Games by Developing "Neurotic" Personality Agents

In this research project the hypothesis was investigated if the attractivity of games could be increased by using emotional and/or partially "neurotically" acting agents. Two different personality agents were developed and integrated into games.

2007 – 2008

Prerequisites of the Development of a Personalised Virtual Butler

The aim of this project was to explore the prerequisites of such a personalised virtual butler: What is known about the needs of elder people, which results are provided by gerontopsychology and, especially, which methods of information and communication technologies, especially artificial intelligence, are already available or have to be developed further in which direction in order to realise such a virtual butler in the foreseeable future?

2000 – 2008


Music Orchestration Systems in Algorithmic Research and Technology

Aim of the MOSART project is to 'promote training-through-research, especially of young researchers, both pre- and post-doctoral level, within the frame of high quality trans-national collaborative research projects, including those in emerging fields of research'. MOSART promotes research in the field of Sound and Music Computing, focussing on machine analysis and understanding of musical aspects of sound, such as timbre space and control and virtualisation of instruments. Issues regarding the areas of Interactive Musical Performance and of Human Computer Interactive Conducting Tools are studied, with special attention being given to the use of computers in music analysis, digital music representation and computer assisted musical composition and performance.

2004 – 2007


Interfaces to Music

Music (especially Western Classical Music) is a highly complex artifact that happens in real time; it is not easy for laypersons, music students, and even experts to always fully appreciate and understand the full structure and beauty of musical pieces and performances. The guiding vision of this project is to develop novel types of computer interfaces that provide new ways of presenting, teaching, understanding, experiencing, and also shaping music in creative ways.

2004 – 2007


Semantic Interaction with Music Audio Contents

Nowadays, there are a wide variety of techniques that can be used to generate and analyse sounds. However, urgent requirements (coming from the world of ubiquitous, mobile, pervasive technologies and mixed reality in general) trigger some fundamental yet unanswered questions.

2004 – 2007


From Reactive to Anticipatory Cognitive Embodied Systems

The general goal of the Mind RACES project is to investigate different anticipatory cognitive mechanisms and architectures in order to build Cognitive Systems endowed with the ability to predict the outcome of their actions, to build a model of future events, to control their perception anticipating future stimuli and to emotionally react to possible future scenarios. Such Anticipatory Cognitive Systems will contribute to the successful implementation of the desired ambient intelligence.



Automated retrieval and extraction of web contents

It is the goal of AUREX/W to investigate the development of tools for information extraction from unstructured websites, thus making information extraction methods applicable to a significant larger portion of the web in a largely task-independent way. AUREX/W aims at developing tools that are generic and easy to use for end-users and to provide a working toolbox for certain common subtasks of the information extraction process. The project is focused primarily on extraction from German language websites.

2004 – 2006


Semantic Interaction with Music Audio Contents

SIMAC's main task was the development of prototypes for the automatic generation of semantic descriptors and development of prototypes for exploration, recommendation, and retrieval. One special feature was the development and use of semantic descriptors. That is, ways to tag music that are close to the user's way of describing its contents. We developed tools to be used by music consumers, music distributors, and music creators.

2004 – 2006

Creative Histories

The Josefsplatz Experience

The goal of the project is to reconstruct a complex 3D model of an urban environment, in particular the Viennese Josefsplatz, from historical pictures and paintings and present this 4D information space (3D geometry over time) on PCs and mobile devices. Moreover, a user adaptive meta-information system enables the visualisation of complex, interlinked historic events. A special focus is set on the different qualities of historical information. In the project, OFAI concentrates on the realization of the meta-information system.

2003 – 2006

Architecture and Effective Development of a High-Quality Part-of-Speech Tagger

The general aim of the project is enhancing the quality of Part-of-Speech tagging by developing a tagger combining the statistical approach with the Constraint Grammar based approach in such a way that (i) strengths of each of the approaches are accented, and (ii) weaknesses are mutually compensated for. Apart from these theoretical aims, a validation/practical demonstration of the developed methodology is also due, together with an evaluation of the practical results achieved. This sums up to the following three main objectives of (and simultaneously to the three innovations in the field of PoS-tagging contributed by) the project: (1) proposing and advocating a novel tagger architecture combining the statistical and the Constraint Grammar based tagging scheme into a tagging system with higher accuracy than any of its components taken alone; (2) developing a systematic method for writing rules of a Constraint Grammar tagger, together with a novel and more powerful method of their application; (3) implementing and evaluating a combined tagger for German, employing the TnT tagger by T. Brants as the statistical component and the newly developed Constraint Grammar tagger for German, and using the NEGRA corpus as the evaluation standard.