Accepted Contributions

UCAI ’21: Workshop on User-Centered Artificial Intelligence

Ingolstadt, Germany, 5th September 2021

Accepted Contributions

  • An Explainability Approach for Conversational User Interfaces in Walk-Up-And-Use Contexts
    by Schrills, T., Schmid, L., Jetter, H.-C., and Franke, T.
  • Audit, Don’t Explain – Recommendations Based on a Socio-Technical Understanding of ML-Based Systems (Position paper)
    by Heuer, H.
  • Design Decision Framework for AI Explanations
    by Anuyah, O., Fine, W., and Metoyer, R.
  • How can Small Data Sets be Clustered?
    by Weigand, A. C., Lange, D., and Rauschenberger, M.
  • Noise over Fear of Missing Out (Position paper)
    by Schleith, J., Hristozova, N., Chechmanek, B., Bussey, C., and Michalak, L.
  • On the Convergence of Intelligent Decision Aids (Position paper)
    by Loepp, B.
  • The Role of Explanations of AI Systems: Beyond Trust and Helping to Form Mental Models (Position paper)
    by Norkute, M.