Witschel, Hans Friedrich

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Witschel
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Hans Friedrich
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Witschel, Hans Friedrich

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2009 - 200912010 - 201962020 - 20223
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Gerade angezeigt 1 - 10 von 10
  • Vorschaubild
    Publikation
    New hybrid techniques for business recommender systems
    (MDPI, 2022) Pande, Charuta; Witschel, Hans Friedrich; Martin, Andreas [in: Applied Sciences]
    Besides the typical applications of recommender systems in B2C scenarios such as movie or shopping platforms, there is a rising interest in transforming the human-driven advice provided, e.g., in consultancy via the use of recommender systems. We explore the special characteristics of such knowledge-based B2B services and propose a process that allows incorporating recommender systems into them. We suggest and compare several recommender techniques that allow incorporating the necessary contextual knowledge (e.g., company demographics). These techniques are evaluated in isolation on a test set of business intelligence consultancy cases. We then identify the respective strengths of the different techniques and propose a new hybridisation strategy to combine these strengths. Our results show that the hybridisation leads to substantial performance improvement over the individual methods.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Practice track: a learning tracker using digital biomarkers for autistic preschoolers
    (2022) Sandhu, Gurmit; Kilburg, Anne; Martin, Andreas; Pande, Charuta; Witschel, Hans Friedrich; Laurenzi, Emanuele; Billing, Erik; Hinkelmann, Knut; Gerber, Aurona [in: Proceedings of the Society 5.0 Conference 2022 - Integrating digital world and real world to resolve challenges in business and society]
    Preschool children, when diagnosed with Autism Spectrum Disorder (ASD), often ex- perience a long and painful journey on their way to self-advocacy. Access to standard of care is poor, with long waiting times and the feeling of stigmatization in many social set- tings. Early interventions in ASD have been found to deliver promising results, but have a high cost for all stakeholders. Some recent studies have suggested that digital biomarkers (e.g., eye gaze), tracked using affordable wearable devices such as smartphones or tablets, could play a role in identifying children with special needs. In this paper, we discuss the possibility of supporting neurodiverse children with technologies based on digital biomark- ers which can help to a) monitor the performance of children diagnosed with ASD and b) predict those who would benefit most from early interventions. We describe an ongoing feasibility study that uses the “DREAM dataset”, stemming from a clinical study with 61 pre-school children diagnosed with ASD, to identify digital biomarkers informative for the child’s progression on tasks such as imitation of gestures. We describe our vision of a tool that will use these prediction models and that ASD pre-schoolers could use to train certain social skills at home. Our discussion includes the settings in which this usage could be embedded.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Hybrid conversational AI for intelligent tutoring systems
    (Sun SITE, Informatik V, RWTH Aachen, 2021) Pande, Charuta; Witschel, Hans Friedrich; Martin, Andreas; Montecchiari, Devid; Martin, Andreas; Hinkelmann, Knut; Fill, Hans-Georg; Gerber, Aurona; Lenat, Dough; Stolle, Reinhard; Harmelen, Frank van [in: Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021)]
    We present an approach to improve individual and self-regulated learning in group assignments. We focus on supporting individual reflection by providing feedback through a conversational system. Our approach leverages machine learning techniques to recognize concepts in student utterances and combines them with knowledge representation to infer the student’s understanding of an assignment’s cognitive requirements. The conversational agent conducts end-to-end conversations with the students and prompts them to reflect and improve their understanding of an assignment. The conversational agent not only triggers reflection but also encourages explanations for partial solutions.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Learning and engineering similarity functions for business recommenders
    (2019) Witschel, Hans Friedrich; Martin, Andreas; Martin, Andreas; Hinkelmann, Knut; Gerber, Aurona; Lenat, Doug; Harmelen, Frank van; Clark, Peter [in: Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019)]
    We study the optimisation of similarity measures in tasks where the computation of similarities is not directly visible to end users, namely clustering and case-based recommenders. In both, similarity plays a crucial role, but there are also other algorithmic components that contribute to the end result. Our suggested approach introduces a new form of interaction into these scenarios that make the use of similarities transparent to end users and thus allows to gather direct feedback about similarity from them. This happens without distracting them from their goal – rather allowing them to obtain better and more trustworthy results by excluding dissimilar items. We then propose to use the feedback in a way that incorporates machine learning for updating weights and decisions of knowledge engineers about possible additional features, based on insights derived from a summary of user feedback. The reviewed literature and our own previous empirical investigations suggest that this is the most feasible way – involving both machine and human, each in a task that they are particularly good at.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Determining information relevance based on personalization techniques to meet specific user needs
    (Springer, 2018) Thönssen, Barbara; Witschel, Hans Friedrich; Rusinov, Oleg; Dornberger, Rolf [in: Business information systems and technology 4.0 - New trends in the age of digital change]
    04A - Beitrag Sammelband
  • Vorschaubild
    Publikation
    Energy saving in smart homes based on consumer behavior: A case study
    (IEEE, 2015) Zehnder, Michael; Wache, Holger; Witschel, Hans Friedrich; Zanatta, Danilo; Rodriguez, Miguel [in: First IEEE International Smart Cities Conference (ISC2-2015)]
    This paper presents a case study of a recommender system that can be used to save energy in smart homes without lowering the comfort of the inhabitants. We present an algorithm that mines consumer behavior data only and applies machine learning to suggest actions for inhabitants to reduce the energy consumption of their homes. The system looks for frequent and periodic patterns in the event data provided by the digitalSTROM home automation system. These patterns are converted into association rules, prioritized and compared with the current behavior of the inhabitants. If the system detects opportunities to save energy without decreasing the comfort level, it sends a recommendation to the inhabitants.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Index für den IT-Markt
    (Swiss Professional Media, 26.06.2014) Witschel, Hans Friedrich; Emmenegger, Sandro; Czekala, Thomas; Rossi, Alfred [in: Unternehmer Zeitung]
    Ein Forschungsprojekt der Hochschule für Wirtschaft FHNW in Zusammenarbeit mit dem Unternehmen ProSeller analysiert eine Preisvergleichsplattform, an die 700 Schweizer IT-Fachhändler angeschlossen sind. Erstellt wird ein Marktindex, der die Entwicklung der Umsätze im IT-Markt Schweiz widerspiegelt.
    01B - Beitrag in Magazin oder Zeitung
  • Vorschaubild
    Publikation
    Data-Mining im KMU - Das Beste aus Daten
    (Swiss Professional Media, 03.04.2013) Witschel, Hans Friedrich [in: Unternehmer Zeitung]
    Die Verwendung gängiger Data-Mining-Verfahren ist für KMUs wegen der meist nur spärlich vorhandenen Daten beschwerlich. Zudem ist den Beteiligten oft das Potenzial der Verfahren unklar und wie sie anzuwenden sind. Hier werden Möglichkeiten aufgezeigt, wie man auch aus wenigen Daten relevante Informationen herausholen kann.
    01B - Beitrag in Magazin oder Zeitung
  • Vorschaubild
    Publikation
    Auswahl der richtigen Wissensmanagement-Methoden
    (W. Gassmann, 2012) Hinkelmann, Knut; Witschel, Hans Friedrich [in: Blickpunkt KMU]
    Einerseits sind die Notwendigkeit für einen adäquaten Umgang mit der Ressource "Wissen" und der daraus resultierende potenzielle Gewinn für ein Unternehmen allgemein anerkannt. Andererseits entwickeln sich längst nicht alle Wissensmanagement-Projekte in der Praxis zu Erfolgsgeschichten. Im Gegenteil: selbst beim Einsatz vermeintlich bewährter Wissensmanagement-Strategien kommt es immer wieder vor, dass grossen Investitionen seitens eines Unternehmens am Ende kaum beobachtbare Verbesserungen gegenüberstehen. Häufigste Ursache hierfür ist die mangelnde Akzeptanz der implementierten Lösungen bei den Mitarbeitern.
    01B - Beitrag in Magazin oder Zeitung
  • Vorschaubild
    Publikation
    What is Organizational Knowledge Maturing and how can it be assessed?
    (2009) Riss, Uwe; Witschel, Hans Friedrich; Brun, Roman; Thönssen, Barbara [in: Proceedings of I-KNOW ’09 and I-SEMANTICS ’09]
    We introduce the concept of organizational knowledge maturing based on the idea of developing knowledge assets. We explain the dimensions that have to beconsidered and introduce the Knowledge Maturing Dimension Framework to measure the maturity level. Finally we describe service classes as the building blocks of afuture organizational learning and maturing environment (OLME).
    04B - Beitrag Konferenzschrift