Student Projects

Below you find a list of Bachelor's and Master's theses that have been completed in the lab. They may serve to give you a rough idea of possible topics for you own thesis. You might also want to have a look at the research interests of all the lab members. You are also welcome propose other topics. If you consider writing your thesis with us, please contact Ute Leischer (see contact button) to make an appointment with Frank Jäkel or contact any of the PhD students directly.

2025

  • The Effect of Object Similarity on Recognition Memory
  • Representational Measurement of Similarity: The Additive Difference Model, Revisited
  • The Effects of Reward Density on Perceptual Decision Making
  • Measuring User Experience of AI-Assisted Programming Tools
  • Solving Guesstimation Problems With Large Language Models
  • Playing Chess with Large Language Models

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