Publications (17)
A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms
Lala Shakti Swarup Ray, Bo Zhou, Lars Krupp +2
Accurate camera calibration is crucial for various computer vision applications. However, measuring calibration accuracy in the real world is challenging due to the lack of dataset…
Visualization enhances Problem Solving in multi-Qubit Systems
Jonas Bley, Eva Rexigel, Alda Arias +7
Quantum Information Science (QIS) is a vast, diverse, and abstract field. In consequence, learners face many challenges. Science, Technology, Engineering, and Mathematics (STEM) ed…
Visualizing Quantum States: A Pilot Study on Problem Solving in Quantum Information Science Education
Jonas Bley, Eva Rexigel, Alda Arias +8
In the rapidly evolving interdisciplinary field of quantum information science and technology, a major obstacle is the need to understand advanced mathematics to solve complex prob…
LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions
Lars Krupp, Jonas Bley, Isacco Gobbi +11
Individual teaching is among the most successful ways to impart knowledge. Yet, this method is not always feasible due to large numbers of students per educator. Quantum computing…
Human in the Latent Loop (HILL): Interactively Guiding Model Training Through Human Intuition
Daniel Geissler, Lars Krupp, Vishal Banwari +4
Latent space representations are critical for understanding and improving the behavior of machine learning models, yet they often remain obscure and intricate. Understanding and ex…
Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web
Lars Krupp, Daniel GeiÃler, Peter Hevesi +3
Integrated into websites, LLM-powered chatbots offer alternative means of navigation and information retrieval, leading to a shift in how users access information on the web. Yet,…
Visualizing Entanglement in multi-Qubit Systems
Jonas Bley, Eva Rexigel, Alda Arias +8
In the field of quantum information science and technology, the representation and visualization of quantum states and related processes are essential for both research and educati…
Challenges and Opportunities of Moderating Usage of Large Language Models in Education
Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis +5
The increased presence of large language models (LLMs) in educational settings has ignited debates concerning negative repercussions, including overreliance and inadequate task ref…
Unreflected Acceptance -- Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education
Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis +5
Large language models (LLMs) have recently gained popularity. However, the impact of their general availability through ChatGPT on sensitive areas of everyday life, such as educati…
GenAI Assisting Medical Training
Stefan Fritsch, Matthias Tschoepe, Vitor Fortes Rey +4
Medical procedures such as venipuncture and cannulation are essential for nurses and require precise skills. Learning this skill, in turn, is a challenge for educators due to the n…
Lessons Learned from Designing an Open-Source Automated Feedback System for STEM Education
Steffen Steinert, Lars Krupp, Karina E. Avila +11
As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant atte…
Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption through Empirical and Theoretical Analysis
Lars Krupp, Daniel GeiÃler, Vishal Banwari +2
Web agents, like OpenAI's Operator and Google's Project Mariner, are powerful agentic systems pushing the boundaries of Large Language Models (LLM). They can autonomously interact…
Towards Sustainable Web Agents: A Plea for Transparency and Dedicated Metrics for Energy Consumption
Lars Krupp, Daniel GeiÃler, Paul Lukowicz +1
Improvements in the area of large language models have shifted towards the construction of models capable of using external tools and interpreting their outputs. These so-called we…
Beyond the Pocket: A Large-Scale International Study on User Preferences on Bodily Placements of Commercial Wearables
Joanna Sorysz, Lars Krupp, Dominique Nshimyimana +4
As wearables become smaller, more powerful, and increasingly embedded in everyday life, their integration into diverse user contexts raises important design challenges. Despite thi…
TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition
Lala Shakti Swarup Ray, Lars Krupp, Vitor Fortes Rey +3
Sensor-based human activity recognition (HAR) has predominantly focused on Inertial Measurement Units and vision data, often overlooking the capabilities unique to pressure sensors…
This Is Taking Too Long -- Investigating Time as a Proxy for Energy Consumption of LLMs
Lars Krupp, Daniel GeiÃler, Francisco M. Calatrava-Nicolas +3
The energy consumption of Large Language Models (LLMs) is raising growing concerns due to their adverse effects on environmental stability and resource use. Yet, these energy costs…
Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR
Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh +3
In human activity recognition (HAR), the availability of substantial ground truth is necessary for training efficient models. However, acquiring ground pressure data through physic…