Ekaterina Königstorfer, who graduated in Fall 2018, wrote her bachelor thesis with the Interactive Systems Group (Department of Informatics Systems) on Human-Drone-Interaction. An abridged version of her thesis was presented on May 5 at the International workshop on Human-Drone Interaction of CHI 2019 in Glasgow. Congratulations!
Artificial intelligence systems — for instance, in biomedicine — are often based on knowledge bases, which store expert knowledge in machine readable form. Unfortunately, it is not uncommon that mistakes creep in while knowledge bases are created. Such mistakes can have serious consequences, for example, if the system suggests a wrong medication for a patient. Finding such faults is, however, a very hard task, often just because of the sheer size of the knowledge bases.
For this reason, a team of researchers from the Department of Applied Informatics has developed the “OntoDebug” tool, which is used by people from all over the world. In an article that was recently published in the prestigious “Knowledge-Based Systems” journal, the usefulness of this tool could be scientifically validated by means of several user studies. In particular, it was shown that the effort needed for the discovery of faults in knowledge bases is significantly reduced when OntoDebug is used.
Lizenz: Creative Commons License
For more information on OntoDebug, please check out here.
The project AYUDO (Spanish: „I assist”) aims to support elderly or chronically ill people by digitizing their health data in order to be able to take early and regular measures to preserve or improve their health. The focus is on recording and supporting one’s own management of those factors that have a positive effect on physical and mental well-being and influence one’s own performance and resilience.
An integrated personal digital health record with health data from the medical and domestic environment currently does not exist in Austria. AYUDO would like to realize exactly this and integrate already distributed stored digital health data, such as vital data, lifestyle data, wellbeing data or also medication, intake or findings data of an elderly or chronically ill person in the longer term in his/her ‘Personal Digital Health File’. This ‘collection’ should also be continuously supplemented as barrier-free as possible through new, intelligent services for personal health management.
Interoperability and data security play an important role in the architecture of the planned technical solution. Interfaces to user’s individual digital data sources should be flexibly adaptable. It should also be possible to supplement health data that is not digitally available as barrier-free as possible via suitable user interfaces.
In addition to conventional interaction models, natural language interaction models are also to be developed. The aim is to investigate the acceptance and security of these blended solutions for the AAL sector. End users will be strongly involved in development and evaluation activities.
AYUDO aims to increase the quality of life of elderly, chronically ill or multimorbid people by improving their self-assessment of their own state of health and self-prevention. If desired, access rights to AYUDO services can also be transferred to the social environment (care and nursing). We expect new findings and results in particular in the following areas:
contact: Dr. Claudia Steinberger
project start: October 2019 – September 2022
project partners: AINF/AAU (coordination), ISYS/AAU, Groiss Informatics, FH Kärnten, Klinikum Klagenfurt
Im Rahmen des vom FWF geförderten Projekts „iDEOS – Interactive Spreadsheet Debugging“ ist die Stelle eines/r wissenschaftlichen Mitarbeiters/-in (DoktorandIn) (Laufzeit 3.5 Jahre, Beschäftigungsausmaß 75%) zu vergeben.
Im Projekt werden neue Verfahren zur automatisierten Fehlersuche in Programmen auf Basis von Methoden der künstlichen Intelligenz entwickelt und praktisch erprobt. Primäres Anwendungsziel der Forschungsarbeiten sind Spreadsheets, welche in vielen Bereichen als Grundlage für wichtige Entscheidungen dienen.
Die Stelle kann ab 1. September besetzt werden. Voraussetzungen für die Anstellung sind ein einschlägiges Studium (z.B. Informatik, Informationsmanagement) sowie ein guter Studienerfolg.
Das Projekt ist eine Kooperation zwischen der TU Graz und der Universität Klagenfurt. Die Anstellung erfolgt an der TU Graz.
Weitere Auskünfte erhalten Sie bei:
Prof. Dietmar Jannach (dietmar [dot] jannach [at] aau [dot] at)
Institut für Angewandte Informatik
