Selected Student Theses

Below you can find an extensive list of selected bachelor's and master's thesis topics from 2018-2023.

  • A Bayesian population coding model of anisotropies in orientation perception
  • A Human-Centered Approach for AI-Aided Anomaly Detection in Time Series
  • A neural style transfer approach to studying scene perception
  • Active Exploration for Tactile Texture Perception
  • An Exploration of Ethical Issues in Large Language Models
  • Combining Autoencoders and Reinforcement Learning
  • Der Einfluss von Konfidenz auf Kriteriumlernen
  • Enhancing Human-AI Interaction with Probabilistic Behavior Prediction for Situational Autonomy Adaptation
  • Exemplarmodelle mit komplexen Stimuli
  • Human discounting under uncertain temporal constraints
  • Human Similarity Judgements and their Representation in Psychological Space
  • Human-AI Interaction: A Think-Aloud Study on Cooperating with Autonomous Agents
  • Linking Human Reconstruction Models for Policy Summarizations to Task Structure
  • Orientation bar code structures for facial emotion recognition
  • Preference, expectation and tonality for short melodies
  • Situational Autonomy in Human-AI Interaction
  • Solving Guesstimation Problems with a Visual Structuring Tool
  • Steering a Car to Intercept a Moving Target in Virtual Reality: Do People Change Their Behavior When Being Rewarded?
  • The Effect of Emotional Valence and Arousal on Remembering Images
  • The Presentation of Uncertainty in Human-AI Interaction
  • A Partially Observable Markov Decision Process model of blinking
  • Analysing Implicit Facial Behaviour for Reinforcement Learning
  • Analysis of Expert Knowledge as a Basis for AI-Aided Interactive Anomaly Detection
  • Coherent dead leaves: Measuring precision and response time for detecting coherent structure in the presence of clutter and partial occlusion
  • Comparing and Personalizing Human Following Behaviors for Mobile Ground Robots
  • Detecting an Intention for Interaction in a Human-Robot Environment
  • Do humans adapt their planning horizon?
  • Human Discounting under Uncertain Temporal Constraints
  • Influence of Top-Down Scene Understanding on Sensitivity to Local Natural Image Structures
  • Interactive Anomaly Detection in Multivariate Timeseries Data
  • Investigating the Influence of Different Cost-Profit Ratios on Human Performance and Strategies in Optimization Problems in an Eye Tracking Experiment.
  • One Shot Graph Imitation Learning from Visual Data
  • Parameter-Efficient Language Model Tuning in the Context of Empathy and Distress Prediction
  • Predicting human similarity judgements using normalizing flows
  • Solving Guesstimation Problems: Perceived Differences between Human and AI Support
  • Supramodal Regularities of Human Visual Behavior
  • The Effect of Puzzle Composition on Tactic Selection in Sudoku
  • The Role of Shielded Reinforcement Learning for Human-AI Interaction in a Collaborative Task Setting
  • The Role of Trust in AI in a Collaborative Game
  • Wide Neural Networks for Category Learning
  • Arbeitsgedächtnis und Falsche Erinnerungen
  • Can humans learn nonlinear dynamics of springs
  • Comparing machine learning methods for font generation
  • Conceptual Metaphors in Episodic Memory
  • Der Einfluss von Kontext auf das Lernen von Wortlisten
  • Der False Pop-Out Effekt
  • Economic Decision Making and the Common-Ratio Effect: Human Behaviour in the Allais Paradox
  • Fully Convolutional Network for Image Saliency
  • Humans & Machines: Investigating Joint Performance in a Traffic Management Game
  • Intelligence Augmentation: On Playing Chess with AI Support
  • Kann kognitives Training das Arbeitsgedächtnis verbessern?
  • Learning to segment human sequential behavior to detect the intention for interaction
  • Lernen von visuellen Kategorien anhand weniger Beispiele durch probabilistisches Programmieren
  • Modellierung der menschlichen Leistung im Mountain Car Problem mit Reinforcement Learning
  • On solving the water pouring problem using simulation and reinforcement learning
  • Probabilistic Modeling of Response Times in Sudoku
  • Reinforcement Learning and Implicit Feedback
  • Suggestivfragen bei der Zeugenbefragung
  • The Furniture Company: Building Games to Measure Human Performance in Optimization Problems
  • The relation between social interaction and intrinsic motivation in reinforcement learning
  • Über den Zusammenhang zwischen Wortgedächtnis und Semantik
  • User Interfaces for Solving Sudoku
  • Using Multimodal Human Feedback for Reinforcement Learning
  • Comparing Models of Human Path Integration
  • Development of an Interactive Gesture Recognition System for an Assistive Robot.
  • Effects of Response Labels on Category Learning with Continuous Features
  • Inferring people’s distance priors with human MCMC and the method of adjustments
  • Menschliches Problemlösen bei dem Zahlenrätsel Straights
  • Mittels Eye-Tracking menschliche Entscheidungen während des Lesens moralischer Fragen erkennen
  • Probabilistische Performanzeinschätzung bei Sudokus
  • Quantifying the UX: A Study on the Effects of data-driven Feature Development
  • Signalentdeckung mit randomisierten Signalstärken
  • Analysis of a human category learning algorithm
  • Comparing Models of Human Path Integration
  • Gamification of Psychological Experiments Using the Example of a Classical Categorization Experiment
  • Humans & Machines: When To Take Over Control
  • Humans integrate rates of sensory cues in a statistically optimal fashion
  • Image-based semantic change detection in 3D-point clouds using automatically sourced training data
  • Inference of object properties and their transfer to a control task are guided by internal physical models
  • Intuitive Imitation Learning for one-handed and bimanual tasks using ProMPs
  • Learning Strategies in Chess Endgames
  • Realizing Cognitive User Models for Adaptive Serious Games
  • Simulating the natural input to the visual system
  • Solving Bongard Problems Using Neural Networks
  • The Influence of Explanations on Trust in Artificial Intelligence
  • Verstehen, wie die Energiewende gelingen kann – Eine explorative Studie mit der Methode des Lauten Denkens
  • Why Should I Trust in AI? Analysis of the Influence of Explanations on Trust in Artificial Intelligence
  • Erhebung einer Wahrnehmungsschwelle für Unterschiede zwischen Kartenansicht und Egoperspektive
  • Few-Shot Learning Using Probabilistic Programming
  • Human Learning in Hierarchical Gaussian Models
  • Is Orienting in Space Dependent on How We Point?
  • Konzeption, Implementierung und Validierung einer mobilen Softwareanwendung zur Selbsteinschätzung des emotionalen Zustands in Fahrstudien
  • Motivated Reasoning in Belief Formation
  • Multimodal Uncertainty Reduction for Intention Recognition in a Human-Robot Environment.
  • Operator physical and mental state assessment
  • Self-Efficacy in Real-time Functional Magnetic Resonance Imaging Neurofeedback as an Interventional Tool in Alcohol Use Disorder – Subjective vs. Objective Estimates of Brain Activity Regulation