Auflistung nach Autor:in "Sonntag, Daniel"
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- ZeitschriftenartikelA Paradigm Shift in Healthcare Provision(KI - Künstliche Intelligenz: Vol. 29, No. 2, 2015) Sonntag, Daniel; Gelissen, Jean
- JournalAI in Germany: Well-Prepared and Eager to Do Something(KI - Künstliche Intelligenz: Vol. 32, No. 2-3, 2018) Sonntag, Daniel
- ZeitschriftenartikelAI in Medicine, Covid-19 and Springer Nature's Open Access Agreement(KI - Künstliche Intelligenz: Vol. 34, No. 2, 2020) Sonntag, Daniel
- KonferenzbeitragAssessing the quality of natural language text data(Informatik 2004 – Informatik verbindet – Band 1, Beiträge der 34. Jahrestagung der Gesellschaft für Informatik e.V. (GI), 2004) Sonntag, DanielWe follow an empirical approach from data quality toward text quality, where the expectations of the consumer, human or machine, take the centre stage. We try to obtain numerical text quality statements which must be interpreted for the expectations of the user and suitability for automatic natural language processing (NLP) separately. We state that apart from text accessibility today only representational text quality metrics can be derived and computed automatically. Interestingly, text quality for NLP traces back to questions of text representation.
- ZeitschriftenartikelAvoid Predatory Journals(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Sonntag, Daniel
- ZeitschriftenartikelCollaborative Multimodality(KI - Künstliche Intelligenz: Vol. 26, No. 2, 2012) Sonntag, DanielThis essay is a personal reflection from an Artificial Intelligence (AI) perspective on the term HCI. Especially for the transfer of AI-based HCI into industrial environments, we survey existing approaches and examine how AI helps to solve fundamental problems of HCI technology. The user and the system must have a collaborative goal. The concept of collaborative multimodality could serve as the missing link between traditional HCI and intuitive human-centred designs in the form of, e.g., natural language interfaces or intelligent environments. Examples are provided in the medical imaging domain.
- ZeitschriftenartikelSpace Robotics Means Business(KI - Künstliche Intelligenz: Vol. 28, No. 2, 2014) Sonntag, Daniel
- ZeitschriftenartikelSpecial Issue on Health and Wellbeing(KI - Künstliche Intelligenz: Vol. 29, No. 2, 2015) Gelissen, Jean; Sonntag, DanielThis special issue of KI Journal on health and wellbeing brings together a collection of articles on self-monitoring (quantified-self) related to health and habits (these solutions should reduce the costly demand for secondary prevention) and big health data analysis towards clinical data intelligence for individualized patient treatment. Others include invited contributions on intelligent user interfaces for health and wellbeing. The articles in this collection address diverse aspects of AI methods in the patient/user centric view, the doctor/clinical view, or the combination of these two views.
- ZeitschriftenartikelThe Clinical Data Intelligence Project(Informatik-Spektrum: Vol. 39, No. 4, 2016) Sonntag, Daniel; Tresp, Volker; Zillner, Sonja; Cavallaro, Alexander; Hammon, Matthias; Reis, André; Fasching, Peter A.; Sedlmayr, Martin; Ganslandt, Thomas; Prokosch, Hans-Ulrich; Budde, Klemens; Schmidt, Danilo; Hinrichs, Carl; Wittenberg, Thomas; Daumke, Philipp; Oppelt, Patricia G.This article is about a new project that combines clinical data intelligence and smart data. It provides an introduction to the “Klinische Datenintelligenz” (KDI) project which is founded by the Federal Ministry for Economic Affairs and Energy (BMWi); we transfer research and development results (R&D) of the analysis of data which are generated in the clinical routine in specific medical domain. We present the project structure and goals, how patient care should be improved, and the joint efforts of data and knowledge engineering, information extraction (from textual and other unstructured data), statistical machine learning, decision support, and their integration into special use cases moving towards individualised medicine. In particular, we describe some details of our medical use cases and cooperation with two major German university hospitals.
- ZeitschriftenartikelThe Role of Focus in Advanced Visual Interfaces(KI - Künstliche Intelligenz: Vol. 30, No. 0, 2016) Orlosky, Jason; Toyama, Takumi; Sonntag, Daniel; Kiyokawa, KiyoshiDeveloping more natural and intelligent interaction methods for head mounted displays (HMDs) has been an important goal in augmented reality for many years. Recently, small form factor eye tracking interfaces and wearable displays have become small enough to be used simultaneously and for extended periods of time. In this paper, we describe the combination of monocular HMDs and an eye tracking interface and show how they can be used to automatically reduce interaction requirements for displays with both single and multiple focal planes. We then present the results of preliminary and primary experiments which test the accuracy of eye tracking for a number of different displays such as Google Glass and Brother’s AiRScouter. Results show that our focal plane classification algorithm works with over 98 % accuracy for classifying the correct distance of virtual objects in our multi-focal plane display prototype and with over 90 % accuracy for classifying physical and virtual objects in commercial monocular displays. Additionally, we describe methodology for integrating our system into augmented reality applications and attentive interfaces.