HCD3A: An HCD Model to Design Data-Driven Apps. - Anna Christina Weigand; Martin Christof Kindsmüller (HCI (36), 2021)

How can Small Data Sets be Clustered? - Anna Christina Weigand; Daniel Lange; Maria Rauschenberger (MuC (Workshopband), 2021)

Exploring the Definition of Small Data Collected with HCI Methods and Used for ML. - Anna C. Weigand; Maria Rauschenberger (MuC (Workshopband), 2023)

There Are no Major Age Effects for UX Aspects of Voice User Interfaces Using the Kano Categorization. - Jana Deutschländer; Anna Christina Weigand; Andreas M. Klein; Dominique Winter; Maria Rauschenberger (WEBIST, 2023)

Selecting Adequate Machine Learning Methods for Human-Computer Interaction Data Sets: Guidelines and a Conceptual Structure. - Anna Christina Weigand (CAiSE (Doctoral Consortium), 2024)

Analyzing Tweets Using Topic Modeling and ChatGPT: What We Can Learn About Teachers and Topics During COVID-19 Pandemic-Related School Closures. - Anna C. Weigand; Maj F. Jacob; Maria Rauschenberger; María José Escalona Cuaresma (WEBIST, 2024)