Selected Student Theses

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

  • Linguistic Analysis of Natural Language Queries to Databases
  • Brunswik’s Lens Model: A Bayesian Perspective
  • A Think-aloud Study of a Checkmate Pattern in Chess
  • Does Order Matter? Investigating the Sequential Influence of Task Formats on Bayesian Judgments
  • Bayesian Analysis of Electrophysiological Experiments
  • A Comparison of Tasks in Signal Detection Theory
  • Human Behavior in the Collaborative Game Hanabi
  • Zur Anwendung psychologischer Methoden in der empirischen Rezeptions- und Literaturwissenschaft
  • Integration von Merkmalen beim Erlernen von Wahrscheinlichkeiten
  • A Probabilistic Model for Confidence Judgements
  • On the Binding Problem
  • 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
  • Bayesian statistical models of visual orientation perception in analogue report tasks
  • Reordering of timing in serial collisions – a perceptual effect?
  • Empirical Study On Subjective Listening Comfort Using An Adaptive Frequency Filtering Procedure
  • Predictive and Retrospective Components in the Perception of Causality
  • The effect of framerate on visual motion perception
  • 3D Scene Metamers: Using physically-based differentiable rendering to probe vision models for scene understanding
  • A quantitative analysis of image statistics in dead leaves images
  • Eye movement patterns in the disambiguation of Mooney images
  • How Prior Knowledge Level and Modality Shape Object Recognition in Mooney Images: A Drawing-Based Experiment
  • The role of intention in intentional binding
  • Dual adaptation to temporal delays in 2D motor control: Insights from interception and continuous tracking
  • Vibrotactile feedback as counter measure for visually induced postural sway
  • Enhancing goal-directed reaching: comparing static and dynamic Vibrotactile feedback
  • Quadrupedal Gait on Oscillating Surfaces
  • Model Simplification in Value-Based Deep Reinforcement Learning: Adaptive Sparsification and Target Network Removal
  • Learning Pole Balancing from High-Frequency Tactile Feedback
  • Robotic Pouring with Self-supervised Learning from Video Demonstrations
  • Learning Visuotactile Grasping Policies from Demonstration Data
  • Developing a Simulation Platform for the Benchmarking of Generalist Robot Policies
  • Comparing Residual Reinforcement Learning Strategies With A Stable Vector Field Base Policy
  • GMM-Based Robot Locomotion Planning with Learnt Latent Representations
  • On-robot Deep Reinforcement Learning for Quadruped Locomotion
  • Integration of Vision and Tactile Sensing for Robotic Insertion Tasks using Deep Reinforcement Learning
  • Learning Robot Locomotion from Diverse Datasets
  • Learning Robotic Pouring from Video Demonstrations
  • Adaptive Restart Distributions for Accelerating Reinforcement Learning
  • Bimanual Robotic Manipulation through Imitation with Deep Generative Models and Expressive Representations
  • A Shared Autonomy Framework for Assisted Teleoperation Using Control Barrier Functions
  • Analyzing and Improving Training Dynamics of CrossQ
  • Reactive Motion Generation through Probabilistic Dynamic Graphs
  • Active Assistance for Pathological Gait using Inverse Reinforcement Learning
  • The Evaluation of Generative Models
  • 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
  • Impact of Gaze-Aware Image Compression on Image Quality
  • Train Timetable Rescheduling Using Machine Learning: Towards Generalisabilty over Railway Infrastructure and Timetable
  • Creating ambiguous Mooney images using contour disruption
  • Correlation of scene categories
  • Searching for shapes in a crowded visual search task: An analysis using probabilistic hierarchical models
  • From predictions of moving trajectories to subjective impressions of causality
  • What did perception evolve to do? New approaches to test the interface theory of perception
  • Deep adaptive design for psychophysics
  • A neural style transfer approach to studying scene perception
  • A Bayesian population coding model of anisotropies in orientation perception
  • Control Mode and Confusion of Agency
  • Analysing Sparse Attention in Reinforcement Learning for Continuous Control: alpha-entmax and Attention Masking for Morphology-Aware Decision-Making
  • Learning Tactile Manipulation Policies from Human Demonstrations
  • Refining vision-based 6D-pose estimation using tactile sensing
  • Inverse Reinforcement Learning for Musculoskeletal Control of Humanoid Locomotion
  • Handling Long-Term Constraints And Uncertainty in Safe RL
  • Posterior Sampling Reinforcement Learning with Function-space Variational Inference
  • Smart, self-calibrating force/torque sensor
  • Model Predictive Control for Humanoid Control
  • Visuotactile In-Hand Pose Estimation
  • Hierarchical Reinforcement Learning with Self-Play for Robotic Air Hockey
  • Learning Dexterous Manipulation from Videos
  • Scaling learned, graph-based assembly policies
  • Mixed-Motive Multi-Agent Reinforcement Learning
  • Control Strategies for a Rimless Wheel Micro-Rover
  • Distilling Motor Skills to a Humanoid Robot Through Imitation Learning
  • Analysis of Quasimetric Reinforcement Learning
  • Grasp Diffusion Network
  • Dynamic Multi-Agent Reward Sharing
  • Adapt your network: Investigating neural network’s architecture in Q-learning methods
  • Unsupervised Instance Segmentation via Lightweight Pseudo-Label Mining
  • Evaluating the Robustness of Object-centric Models of Visual Scenes
  • Interpretable Standard CNNs
  • 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
  • A psychophysical evaluation of techniques for Mooney image generation
  • Human Similarity Judgements and their Representation in Psychological Space
  • Orientation bar code structures in facial emotion recognition
  • Influence of Top-Down Scene Understanding on Sensitivity to Local Natural Image Structures
  • Supramodal regularities of human visual behavior
  • Coherent dead leaves: Measuring precision and response time for detecting coherent structure in the presence of clutter and partial occlusion
  • Linking suggestibility to the perception of arm movement: Felt motor distortion through the manipulation of visual feedback
  • Tracking at a distance in Virtual Reality: effects on performance and embodiment
  • Revisiting Fitt's Law: The Effect of Cursor Size and Orientation
  • Score-Based Generative Models as Trajectory Priors for Motion Planning
  • The Principle of Value Equivalence for Policy Gradient Search
  • Hierarchical Contextualization of Movement Primitives
  • Leveraging Structured-Graph Correspondence in Imitation Learning
  • Object Pose Estimation and Manipulation from Pointclouds using Energy-based Models
  • Task Space Exploration in Robot Reinforcement Learning
  • 6DCenterPose: Multi-object RGB-D 6D pose tracking with synthetic training data
  • Statistical Model-based Reinforcement Learning
  • Genetic Programming For Interpretable Reinforcement Learning
  • NAS with GFlowNets
  • Natural Gradient Optimistic Actor Critic
  • Context-Dependent Variable Impedance Control with Stability Guarantees
  • Energy-based Models for 6D Pose Estimation
  • Robot Gaze for Communicating Collision Avoidance Intent in Shared Workspaces
  • Mapless Social Robot Navigation
  • Deep Image Codec Control for Vision Models
  • Towards More Explainable Image Segmentation
  • 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
  • Enhancing Human-AI Interaction with Probabilistic Behavior Prediction for Situational Autonomy Adaptation
  • Human discounting under uncertain temporal constraints
  • 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
  • Steering a Car to Intercept a Moving Target in Virtual Reality: Do People Change Their Behavior When Being Rewarded?
  • 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