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.

2022

  • 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
  • Learing Solving Guesstimation Problems: Perceived Differences between Human and AI Support

2021

  • User Interfaces for Solving Sudoku
  • Specular Reflection and Distortion as Cues in Transparency Perception
  • 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
  • Prior Probabilities in the Warson 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
  • Lernen von visuellen Kategorien anhand weniger Beispiele durch probabilistisches Programmieren
  • Humans & Machines: Investigating Joint Performance in a Traffic Management Game
  • Speech Recognition with Statistically Defined Noise and Brain-Inspired Filtering
  • Conceptual Metaphors in Episodic Memory

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

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
  • 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