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Auflistung nach Autor:in "Liwicki, Marcus"

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  • Konferenzbeitrag
    Evaluation of multi-touch gestures
    (Informatik in der Land-, Forst- und Ernährungswirtschaft 2015, 2015) Tuncer, Zeynep; Selim, Mohamed; Liwicki, Marcus; Kormann, Georg
    Interaction possibilities are perceived as being diverse and self-evident, especially caused by rapid technology developments. The availability of interaction possibilities is not consciously experienced as something special but it rather appears as an unconscious perception. The process of interaction via touch gestures is nowadays a standard in many technologies. Additional technologies, such as headand eye-tracking have become of great interest regarding agriculture adoption, and they were apparent shown at the Agritechnica 2013- the world's largest trade fair for agricultural machinery and equipmentin Hannover, Germany.The study 'Evaluation of Multi-Touch Gestures' was conducted in co-operation between John Deere GmbH \& Co. $KG(Intelligent Solutions Group)$ and the DFKI GmbH (German Research Center for Artistic Intelligence GmbH). The research objective was to find out, if multi-touch gestures on machines - with a particular focus on tractors - will be applicable for users. In this study, users who used different gestures, while the machine was not moving and while they were driving on the field were interviewed afterwards. To receive their impressions/ and to analyze the results, users had to answer a questionaire including 5 additional further questions to explicite write down their individual feedback. . Users reacted positively towards the applications of gestures. The entire range of testing for this study, the results, a summary, as well as an outlook will be presented in this paper.
  • Konferenzbeitrag
    A paper-based technology for personal knowledge management
    (WM2009: 5th conference on professional knowledge management, 2009) Schumacher, Kinga; Liwicki, Marcus; Dengel, Andreas
    In this paper we extend the Semantic Desktop with a novel input modality: handwriting on paper. This extension allows for annotating printed documents with handwritten notes, which are then recognized, interpreted and integrated into the personal knowledge space. Thus it supports personal knowledge work on paper. In particular, the user can mark any text segment and annotate it with his or her own comments. The semantic of these comments and marks are then interpreted and, finally, the result is included in the user's Semantic Desktop. The methodology for finding the intended meaning of the annotation in context of the marked text is presented in this paper. To demonstrate the applicability of our approach, we have implemented a prototype for the NEPOMUK Semantic Desktop.