5th Workshop on Replication in Extended Reality (WoRXR)

IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2025

Overview

The 5th workshop on Replication in Extended Reality (WoRXR) aims to bring together researchers interested in the replication of empirical research as well as algorithmic reproducibility inside and outside the AR/VR/MR/XR community. Specifically, the workshop will introduce important concepts and case studies, and then evolve into discussing workshop papers by participants.

Themes of the Workshop

Discuss the replication crisis in empirical science and its implications for extended-reality experiments.
Raising community awareness about the issues of replication and reproducibility.
Identify ways that the community could respond to the replication crisis.
Providing a platform for abstracts dealing with replication and reproducibility in extended reality.

>> Call for Participation

Important Dates:

Paper Submission Deadline: July 25th, 2025 (Friday)
Acceptance Notification: August 1st, 2025 (Friday)
Camera-Ready Submission Deadline: August 15th, 2025 (Friday)

We invite researchers to conduct replication studies of their own (or others') previous experiments with a new set of participants. We anticipate that the current trend towards XR-based studies using, e.g., Quest or HoloLens, will make it easier to re-run existing experiments. One workshop goal is to work towards a joint journal submission on lessons learned through replicated studies.

Keynote Speaker

Dr. Daniel Zielasko

Title:

Beyond Initial Findings: Replication, Reliability, and Statistical Practices in Empirical Studies

Abstract:

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.

Short Bio:

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.

Daniel is passionate about spatial user interaction and human perception, particularly how perception can be influenced and applied within the sandbox of extended reality. He is equally dedicated to methodological rigor and robust research practices, ensuring that his work contributes reliable and transferable insights. His research explores areas such as virtual locomotion, spatial orientation, and ergonomic factors like cybersickness. Moreover, he is dedicated to transferring insights from these fields into various application domains, with a particular focus on biological and geological simulation and areas that serve the greater good, such as health, well-being, and environmental change.