2024
- Metacognition in Large Language Models
- Bayesian Rule-Based Concept Learning and Complex Logical Reasoning
- Type I and Type II Decisions in Signal Detection
- How Robust is the Two-Sample t-Test
- Modeling of Transfer in Complex Tasks
- Investigating Planning: Eye Movements in Connect-Four Tasks
- Evaluating the Influence of Explainability for Human-AI Collaboration in a Shared Workspace
- The Anchoring Effect in Visual Perception
- An Evaluation of Name-Based Biases in Large Language Models
- Functors of Insight: Explaining Analogical Transfer through Category Theory
- Human-AI Interaction in Prostate Cancer Diagnosis
2023
- Training Greeble Experts: An Online Replication Study
- Combining Autoencoders and Reinforcement Learning
- The Mnemonic Peg System and the Importance of Visualisation
- The Effect of Emotional Valence and Arousal on Remembering Images
- Human-AI Interaction: A Think-Aloud Study on Cooperating with Autonomous Agents
- Die Heidelberger Struktur-Lege-Technik als Werkzeug zur Analyse subjektiver Theorien
- Exemplarmodelle mit komplexen Stimuli
- An Exploration of Ethical Issues in Large Language Models
- Mental Set Effect in Sudoku
- Der Einfluss von Konfidenz auf Kriteriumlernen
- Solving Guesstimation Problems with a Visual Structuring Tool
2022
- The Role of Trust in AI in a Collaborative Game
- The Effect of Puzzle Composition on Tactic Selection in Sudoku
- Ein Experiment zum Ellsberg-Paradoxon
- Analysis of Expert Knowledge as a Basis for AI-Aided Interactive Anomaly Detection
- Wide Neural Networks for Category Learning
- Solving Guesstimation Problems: Perceived Differences between Human and AI Support
2021
- User Interfaces for Solving Sudoku
- The Furniture Company: Building Games to Measure Human Performance in Optimization Problems
- Der False Pop-Out Effekt
- Der Einfluss von Kontext auf das Lernen von Wortlisten
- Arbeitsgedächtnis und Falsche Erinnerungen
- Kann kognitives Training das Arbeitsgedächtnis verbessern?
- Intelligence Augmentation: On Playing Chess with AI Support
- Probabilistic Modeling of Response Times in Sudoku
- Modellierung der menschlichen Leistung im Mountain Car Problem mit Reinforcement Learning (supervised together with Constantin Rothkopf)
- Prior Probabilities in the Wason Selection Task
- Die Wahrnehmung von natürlichen Formen gemessen mit einem Konstruktgitter
- Über den Zusammenhang zwischen Wortgedächtnis und Semantik
- Suggestivfragen bei der Zeugenbefragung
- Ein korbusbasierter Ansatz zur Untersuchung der linguistischen Relativität anhand des grammatikalischen Geschlechts (supervised together with Sabine Bartsch)
- Lernen von visuellen Kategorien anhand weniger Beispiele durch probabilistisches Programmieren
- Humans & Machines: Investigating Joint Performance in a Traffic Management Game
- Conceptual Metaphors in Episodic Memory (supervised together with Thomas Weitin)
2020
- Der Effekt der Instruktion und der relationalen Komplexität beim Problemlösen am Beispiel von Sudokus
- Probabilistische Performanzeinschätzung bei Sudokus
- Denkprotokolle beim Zahlenrätsel Straights
- Effects of Response Labels on Category Learning with Continuous Features
- Menschliches Problemlösen bei dem Zahlenrätsel Straights
- Von der Luftströmung zur Elektronenströmung – Eine Exploration der Elektronen-Gas Analogie und ihres Mappings (supervised together with Verena Spatz)
2019
- Signal Entdeckung mit randomisierten Signalstärken
- Solving Bongard Problems Using Neural Networks
- Verstehen, wie die Energiewende gelingen kann – Eine explorative Studie mit der Methode des Lauten Denkens (supervised together with Florian Steinke)
- Humans & Machines: When To Take Over Control
- Analysis of a human category learning algorithm
- Learning Strategies in Chess Endgames
- Psychophysischer Vergleich von Zwangswahl- und Ja-Nein-Aufgaben
- Gamifizierung von psychologischen Experimenten am Beispiel eines klassischen Kategorisierungsexperimentes
- The Influence of Explanations on Trust in Artificial Intelligence (supervised together with Kristian Kersting)
2018
- Motivated Reasoning in Belief Formation
- Human Learning in Hierarchical Gaussian Models
- Few-Shot Learning Using Probabilistic Programming (supervised together with Kristian Kersting)
Pre-2018 (mostly at the University of Osnabrück)
- The Anchoring Effect
- Modeling Semantic Cognition as Logical Dimensionality Reduction, Revisited
- A Probabilistic Model of Rule-based Concept Learning Applied to Bongard Problems
- A Clustering Approach to Learning Overhypotheses
- Learning Overhypotheses
- An Introduction to Finite and Infinite Gaussian Mixture Models with an Application to Psychometric Functions
- Verändern sich Bilder im Gedächtnis? Eine Replikation von James Gibsons Studie zur Reproduktion visuell wahrgenommener Figuren
- A Textual Recommender System and Other Text Mining Applications for Clinical Data
- Applications of Bayesian Networks In Legal Reasoning
- On Expert Evaluation – Using Cooke’s Classical Model
- Threshold Learning Models for Asymmetric Classification Tasks
- Markerless Facetracking for Facial-emotion-transfer from Human Actors to 3D-Models
- Strategies in Concept Attainment – A Replication of Bruner et al. (1956)
- Analysis and Application of an Additive Criterion Learning Model for Categorisation Tasks
- Classification in Chess – The Role of Expertise in the Perception of Similarity and the Representation of Chess Positions
- Ist der Mensch von Natur aus kooperativ? Vergleichende Studien an Schimpansen und Kleinkindern
- A Comparison of Verbal Report Methods – A Concept Attainment Study
- Teaching Thinking – A Comparison Of Different Approaches
- Reproducibility of Empirical Research in Psychology
- Design and Implementation of a Remote Control Interface for the Pupil Eye-Tracker
- Judgment of Time Intervals is Based on an Underlying Stochastic Model
- Is Concept-attainment Better Fostered in Collaborative Learning Situations?
- Intuitionen beim Urteilen und Entscheiden
- Basketball And The Bradley-Terry Model
- Procedural Learning in Perceptual Categorization – A replication of Ashby et al. (2003)
- Evidence for Prototype Theories, Revisited
- Metakognition in der Wason-Wahlaufgabe
- Inferring Rules from Behavioural Data
- Comparing Models for A/B Testing
- Two Models for a One-Dimensional Categorization Task