Date: Oct 12, 14:00 - 17:30
Location: Room 103
The workshop will be presented as a HALF-day event. Below you can find the preliminary schedule.
Scientific progress relies not only on novel findings but also on their robustness, transparency, and reproducibility. In applied fields such as AR, VR, and HCI, empirical studies often face challenges that complicate replication, ranging from small sample sizes and complex experimental setups to inconsistent reporting practices. This keynote will explore the multifaceted role of replication in immersive technology research, with a focus on statistical practices that can strengthen—or undermine—the reliability of our conclusions. We will examine common pitfalls in statistical reasoning and reporting, discuss strategies for improving transparency and reproducibility, and highlight the value of replications as a cornerstone of cumulative science. By moving “beyond initial findings,” the talk aims to foster a culture where robust statistical practices and open reporting are integral to advancing knowledge in immersive and interactive technologies.
Daniel is an Associate Professor of Computer Science at the Technical University of Denmark (DTU). Previously, he worked as a postdoctoral researcher in the HCI group at Trier University, Germany. He earned his doctoral degree in 2020 from the Virtual Reality and Immersive Visualization group at RWTH Aachen University (Germany), specializing in desk-centered Cross-Reality applications. His interdisciplinary collaborations have involved neuroscientists, psychologists, medical technicians, archaeologists, biologists, and geologists in projects such as the EU flagship initiative HBP (Human Brain Project). In 2013, he obtained his Master’s degree in Computer Science from RWTH Aachen University, focusing on algorithmic correction mechanisms for optically tracked anatomical joints.