Accepted Workshop at CHI 2026

XR for Challenging Environments: Enabling Human Performance and Agency under Stress

Forging the next generation of resilient, trustworthy, and explainable XR assistance.

📍 Barcelona, Spain 📅 April 14, 2026
23 high-quality submissions have been accepted. See below!

Motivation

Extended Reality (XR) combined with Artificial Intelligence (AI) has the potential to revolutionize how professionals operate in Challenging Environments (CEs), ranging from emergency response and firefighting to advanced industrial manufacturing. These are contexts defined by a confluence of complexity, risk, and unpredictability that pushes human decision-making to its limits.


However, current research often fails to address the unique demands of embodied, mission-critical work. When stakes are high, operational XR-based assistance and augmentation cannot just be "seamless" - it must be trustworthy, resilient and transparent. We therefore argue for three crucial shifts in perspective to bridge this gap:

Shift 01: Trust

From Generic Trust to Calibrated Trust

Moving beyond static trust to dynamic models that help professionals appropriately gauge reliance in real-time under duress.

Shift 02: Resilience

From Seamlessness to Resilience by Design

Rejecting brittle perfection in favor of systems that fail gracefully, ensuring the human remains the ultimate authority during breakdowns.

Shift 03: Explainability

From Transparency to Situated Explainability

Replacing complex text explanations with embodied cues integrated directly into the physical workspace and available at a glance.

Call for Participation

We invite researchers, practitioners, and domain experts to join us in building a cross-disciplinary community. Our goal is to identify key problems and co-create a shared research agenda for the next generation of mission-critical XR. This long-format, in-person workshop will focus on bridging the gap between foundational principles and domain-specific issues in embodied, mission-critical work.

Topics of Interest

We welcome submissions that address the three proposed shifts (Trust, Resilience, Explainability) or other relevant themes, including but not limited to:

Submission Details

We solicit 2–4 page position papers (excluding references). Submissions may present novel concepts, empirical findings, design provocations, or case studies.


Format: ACM Master Article Submission Template (Single Column).

Review Process: All submissions will be peer-reviewed (single-blind) by the organizers based on quality, relevance, and their potential to stimulate discussion.

Publication: With author consent, accepted papers will be published on this website and submitted to CEUR-WS for publishing open-access proceedings.

Author instructions: Technical instructions for camera-ready manuscript preparation can be found HERE.

Important: At least one author of each accepted submission must register for and attend the workshop in person to present their work.


Important Dates

Accepted Submissions


Alvaro Pastor and Pierre Bourdin
Designing memorable XR under stress: An empirically grounded criterion for long-term memory binding
Mohammad Javadian Farzaneh and Selim Balcisoy
Calibrated Trust and Resilience in Many-to-Many AI-Integrated XR Collaboration for Disaster Response
Reagan West and Junho Park
From Additive Dashboards to Subtractive XR: Workload-Adaptive AI Assistance for NG911 Dispatch
Oliver Hein, Dominik O. W. Hirschberg, Florian Alt and Philipp A. Rauschnabel
Listening Between the Lines: Exploration of Augmented Reality Supported Radio Communication for Challenging Environments
Matthew Wilchek, Kurt Luther and Feras Batarseh
From Explainable AI to Human-Centered Reliability: Quantifying and Visualizing Calibrated Trust in Mission-Critical XR
Julia Schorlemmer, Alia Saad, Sebastian Möller and Jan-Niklas Voigt-Antons
When Simulation Meets Physiology: Adaptive Resilience for Mission-Critical XR in Fast-Jet Training
Jihyun Kim, Leah Tellier, Kara Sealock and Junho Park
Perceptual Scaffolding for Medical Triage in Mission-Critical XR: Design Materials for Multi-Agent AI Recommendations
Rodrigo Gutierrez, Jakob Uhl, Georg Regal and Manfred Tscheligi
Human-Agent Trust Mediation: Augmented Context Understanding as a Method to Dynamically Calibrate Machine-Reliance in Emergency Response
Sadman Saif, Fatemeh Sarshartehrani, Muhammad Zeeshan Karamat, Yahia Tawfik, Bo Ji, Brendan David-John and Christiana Chamon
AI-Augmented Human Decision-Making in Secure Space Operations
Alia Saad and Jan-Niklas Voigt-Antons
XR Training in Challenging Environments: The Wind Turbines Case
Stephan Waltermann, Andre Borrmann, Michel Munzert, Frank Feinbube and Bosen Zhou
XR for Complex Datacenter Environments - Why XR Needs AAS and AI‑Driven Interaction to Support Operators in Next‑Generation Datacenters
Maëlan Poyer, Lorenzo Stefani, Iris David Du Mutel de Pierrepont Franzetti and Riccardo Parin
Operational Legitimacy in XR: Co-creating VR Training with Mountain Rescuers
Jazmin Collins, Poppy McLeod, Stephen Gilbert, Michael Dorneich, Angelique Taylor, Andrea Stevenson Won, Derek Spangler and Nina Lauharatanahirun
From Hazard Features to Resilient Systems: Bridging Neuroscience and Design in XR-AI for Challenging Environments
Florian Buchholz
XR in the Operating Room: A Participatory Approach to Identifying Resilient Use Cases for Surgical Instrument Logistics
Leon Pietschmann and Fritz Pickhardt
From Pilot to Infrastructure: Embedding XR as a Training Layer for Emergency Service Organisations
Pablo Pérez, Ignacio Benito, Ester Gonzalez-Sosa, Marta Orduna and Alvaro Villegas
XRTC: Immersive Telepresence for First Aid and Emergency Scenarios
Mirko Suznjevic, Katarina Misura, Sara Srebot, Lea Skorin-Kapov and Maja Matijasevic
From Training to Incident Response: Resilient XR and Digital Twin Support in Firefighting
Myungjun Lee, Hyeongil Nam, Jazeb Zafar, Jennifer Davidson, Yiqun Lin, Adam Cheng and Kangsoo Kim
Learning to Lead Under Stress: Designing AI Guidance for In-Hospital Resuscitation Team Leader Training in XR
John McAlaney, Mark Springett and Pejman Saeghe
Beyond Mistakes: Opportunities and challenges of XR for staff in prison and probation settings
Mengxing Li, Phoebe Zhang, Jiazhou Liu, Agnes Haryanto, Kadek Satriadi, Trung Nguyen, Deval Mehta, Zerina Lokmic-Tomkins and Tim Dwyer
HandovAR: Towards AR and AI Support for ICU Nurse Handover
Clara Sayffaerth
I Trust You Body: Using Augmented Avatars in Challenging Environments
Ioannis Safranoglou, Marcel Ebel, Alexios Stavroulakis, Iris Grassler and Katerina Mania
Direct Communication between Drone Operators and Field Responders through Augmented Reality
Xinyu Chen, Ke Li, Raimund Kammering, Wim Leemans and Frank Steinicke
Human-Robot Collaboration Design Space for Critical Large Scale Infrastructures

Workshop Schedule

A half-day, highly interactive workshop designed to move from problem mapping to a concrete research agenda.

Session 1: Framing the Challenges (14:15 - 15:45)
14:15 Welcome & Introduction: Framing the workshop topic and the three seismic shifts
14:25 Lightning Talks: Leading experts present real-world, high-stakes challenges
14:45 Breakout 1 ‐ Design for the Future: Groups sketch out future scenarios
15:15 Plenary 1 ‐ Results from the Future: Groups present and discuss their artifacts
15:45 Coffee Break & Networking (until 16:30)
Session 2: Envisioning & Agenda Setting (16:30 - 18:00)
16:30 Breakout 2 ‐ Backcasting the Path: Groups create a timeline of necessary research breakthroughs
17:15 Plenary 2 ‐ Synthesizing the Grand Challenges: Discussion and creation of a joint research agenda
17:45 Summary & Next Steps: Synthesizing the "Grand Challenges" for the co-authored vision paper
18:00 End of Workshop

Organizers

Raimund Schatz

Raimund Schatz

AIT Austrian Institute of Technology

Helmut Schrom-Feiertag

Helmut Schrom-Feiertag

AIT Austrian Institute of Technology

Guglielmo Papagni

Guglielmo Papagni

AIT Austrian Institute of Technology

Frank Steinicke

Frank Steinicke

University of Hamburg

Lea Skorin-Kapov

Lea Skorin-Kapov

University of Zagreb

Mark Billinghurst

Mark Billinghurst

University of South Australia

Leif Oppermann

Leif Oppermann

Fraunhofer FIT

Georg Aumayr

Georg Aumayr

Johanniter Österreich