piwik-script

Intern
Lehrstuhl für BWL und Wirtschaftsinformatik - Prof. Dr. A. Winkelmann

Lukas-Valentin Herm

Sprechstunde: nach Vereinbarung

Forschungsinteressen:

  • Explainable Artificial Intelligence
  • Data und Process Analytics
  • Hyperautomation

Forschungsprojekte:

  • Prediction of Industrial Processes through Explainable Artificial Intelligence - pipeAI
  • Plattform für das integrierte Management von Kollaborationen in Wertschöpfungsnetzwerken - PimKoWe (abgeschlossen)
  • Automatisiertes Content-Providing durch Smarte Steuersysteme - AutoCoP (abgeschlossen)

Akademische Auszeichnungen:

  • Best Paper Award Pacific Asia Conference on Information Systems 2022
  • Best Paper Award 19th International Conference on BPM - RPA Forum 2021
  • Best Paper Award 18th International Conference on BPM 2020

Publikationen:

  • Herm, L. V. (2023). Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study. In European Conference on Information Systems, AIS, Kristiansand, Norway.

  • Herm, L. V., Heinrich, K., Wanner, J., Janiesch, C. (2023). Stop Ordering Machine Learning Algorithms by their Explainability!  A User-Centered Investigation of Performance and Explainability. In International Journal of Information Management, 69, 102538.

  • Herm, L. V., Janiesch, C., Helm, A., Imgrund, F., Hofmann, A., Winkelmann, A. (2023). A Framework for Implementing Robotic Process Automation Projects. In Information Systems and e-Business Management, 21, 1-35.

  • Herm, L. V., Steinbach, T., Wanner, J., Janiesch, C. (2022). A Nascent Design Theory for Explainable Intelligent Systems. In Electronic Markets, 32, 2185–2205.

  • Wanner, J., Herm, L. V., Heinrich, K.,  Janiesch, C. (2022). The Effect of Transparency and Trust on Intelligent System Acceptance: Evidence from a User-based Study. In Electronic Markets, 32, 2079-2102.

  • Herm, L. V., Wanner, J., Janiesch, C. (2022). A Taxonomy of User-centered Explainable AI Studies. In Pacific Asia Conference on Information Systems, AIS, Virtual Conference.

  • Wanner, J., Herm, L. V., Fuchs, K., Janiesch, C., Winkelmann, A. (2022). Industry 4.0 Maintenance: An Examination Of The Readiness Of Germany’s Industrial Sector. In IEEE International Conference on Business Informatics. IEEE, Amsterdam.

  • Mayr, A., Herm, L. V., Wanner, J., Janiesch, C. (2022). Applications and Challenges of Task Mining: A Literature Review. In European Conference on Information Systems. AIS, Timișoara.

  • Herm, L. V., Janiesch, C., Fuchs, P. (2022). Der Einfluss von menschlichen Denkmustern auf künstliche Intelligenz – Eine strukturierte Untersuchung von kognitiven Verzerrungen. In HMD Praxis der Wirtschaftsinformatik, 59(2), 556-571.

  • Wanner, J., Herm, L. V., Heinrich, K., Janiesch, C. (2022). A Social Evaluation of the Perceived Goodness of Explainability in Machine Learning. In Journal of Business Analytics, 5(1), 29-50.

  • Herm, L. V., Janiesch, C., Reijers, H., Seubert, F. (2021). From Symbolic RPA to Intelligent RPA: Challenges for Developing and Operating Intelligent Software Robots. In International Conference on Business Process Management. Springer, Rome.

  • Axmann, B., Harmoko, H., Herm, L. V., Janiesch, C. (2021). A Framework of Cost Drivers for Robotic Process Automation Projects. In RPA Forum of the International Conference on Business Process Management. Springer, Rome.

  • Wanner, J., Herm, L. V., Heinrich, K., Janiesch, C. (2021). Stop Ordering Machine Learning Algorithms by their Explainability! An Empirical Investigation of the Tradeoff between Performance and Explainability. In IFIP Conference e-Business, e-Services, and e-Society. IFIP, Galway.

  • Janiesch, C., Wanner, J., Herm, L. V. (2021). Design Principles for Shared Maintenance Analytics in Fleet Management. In International Conference on Design Science Research in Information Systems and Technology. Springer, Cham.

  • Herm, L. V., Wanner, J., Seubert, F., Janiesch, C. (2021). I Don’t Get It, But It Seems Valid! The Connection Between Explainability and Comprehensibility in (X)AI Research. In European Conference on Information Systems, AIS, Virtual Conference.

  • Wanner, J., Popp, L., Fuchs, K., Heinrich, K., Herm, L. V., Janiesch, C. (2021). Adoption Barriers of AI: A Context-Specific Acceptance Model For Industrial Maintenance. In European Conference on Information Systems, AIS, Virtual Conference.

  • Herm, L. V., Janiesch, C., Steinbach, T., Wüllner, D. (2021). Managing RPA implementation projects. In C. Czarnecki & P. Fettke (Ed.), Robotic Process Automation. De Gruyter, Oldenbourg.

  • Wanner, J., Herm, L. V., Janiesch, C. (2021). Digitalisierungspotenziale der Instandhaltung 4.0 – Von der Aufbereitung binärer Daten zum Einsatz transparenter künstlicher Intelligenz. In Meinhardt, S. & Wortmann, F. (Ed.), IoT – Best Practices. Springer, Vieweg.

  • Imgrund, F., Herm, L. V., Wanner, J., Janiesch, C., Fischer, M., Winkelmann, A. (2021). Critical Success Factors for Process Modeling Projects–Analysis of Empirical Evidence. In Pacific Asia Conference on Information Systems, AIS, Virtual Conference.

  • Herm, L. V., Janiesch, C. (2021). Towards an Implementation of Blockchain-based Collaboration Platforms in Supply Chain Networks: A Requirements Analysis. In Hawaii International Conference on System Sciences, IEEE, Hawaii.

  • Mateja, D., Bartels, E. A., Oberste, L., Herm, L. V., Danelski, A. (2021). Towards a Reference Architecture for Female-Sensitive Drug Management. In Hawaii International Conference on System Sciences. IEEE, Hawaii.

  • Wanner, J., Herm, L. V., Fuchs, K., Janiesch, C., Winkelmann, A. (2021). Entscheidungsunterstützung in KI – Eine Analyse technischer und sozialer Faktoren für die industrielle Instandhaltung in Deutschland. In Industrie 4.0 Management (2) 39-48.

  • Herm, L. V., Wanner, J., Janiesch, C. (2020). Bridging the Architectural Gap in Smart Homes Between User Control and Digital Automation. In International Conference on Design Science Research in Information Systems and Technology. Springer, Cham.

  • Herm, L. V., Janiesch, C., Helm, A., Imgrund, F., Fuchs, K., Hofmann, A., Winkelmann, A. (2020). A consolidated framework for implementing robotic process automation projects. In International Conference on Business Process Management. Springer, Cham.

  • Wanner, J., Herm, L. V., Heinrich, K., Janiesch, C., Zschech, P. (2020). White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems. In International Conference on Information Systems, AIS, Munich.

  • Wanner, J., Herm, L. V., Janiesch, C. (2020). How much is the black box? The value of explainability in machine learning models. In European Conference on Information Systems, AIS, Virtual Conference.

  • Wanner, J., Herm, L. V., Langer, M., Imgrund, F., Janiesch, C. (2020). A Moral Consensus Mechanism for Autonomous Driving: Towards a Law-compliant Basis of Logic Programming. In International Conference on Wirtschaftsinformatik, Potsdam.

  • Wanner, J., Herm, L. V., Hartel, D., Janiesch, C. (2019). Verwendung binärer Datenwerte für eine KI-gestützte Instandhaltung 4.0. HMD Praxis der Wirtschaftsinformatik, 56(6), 1268-1281.

  • Wanner, J., Herm, L. V., Janiesch, C. (2019). Countering the fear of black-boxed ai in maintenance: Towards a smart colleague. In Pre-ICIS SIGDSA Symposium. GI, Munich.

  • Herm, L. V., Janiesch, C. (2019). Anforderungsanalyse für eine Kollaborationsplattform in Blockchain-basierten Wertschöpfungsnetzwerken. In Working Paper Series of the Institute of Business Management (7), Würzburg.