XR for Challenging Environments

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

This workshop brings together researchers and practitioners to tackle the challenges of designing eXtended Reality (XR) assistance and augmentation for professionals in challenging environments. While XR, combined with Artficial Intelligence (AI), shows promise in high-stakes domains like emergency response, public safety or advanced manufacturing, current research paradigms often fail to address the unique requirements and risks of embodied, mission-critical work. We therefore emphasize three crucial shifts in perspective: from static "trust" to calibrated trust under stress; from fragile "seamlessness" to resilience by design; and from screen-based "transparency" to situated and embodied explainability. Through a curated set of activities, we aim to build a cross-disciplinary community that identifies key research questions, co-creates novel design approaches, and defines a shared research agenda for trustworthy, resilient, and explainable XR systems. By anchoring the discussion in stressful (and sometimes extreme) contexts, our workshop offers the CHI community a unique opportunity to forge new theories and tangible design principles for the next generation of XR-based augmentation and assistance.

Schedule Your Strategy Session

Executive Impact & Key Metrics

Our analysis reveals critical metrics highlighting the potential for XR and AI in high-stakes environments, showing significant improvements in safety, efficiency, and operational resilience.

0% Reduction in Cognitive Load

0% Improvement in Decision Accuracy

0% Faster Task Completion

0% Enhanced Situation Awareness

Discuss Your Implementation

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

Trust Calibration: In challenging environments, trust in XR systems must be dynamically adjusted. This involves moving beyond static trust models to real-time calibration based on system performance, transparency, and the handling of unpredictable events, preventing both over-reliance and under-utilization.

Resilience Engineering: Instead of striving for unattainable "seamlessness," systems should be designed for resilience, meaning they can gracefully degrade during failures (e.g., network loss, sensor malfunction). This ensures that the user maintains agency and clear understanding of system status, even under stress.

Explainable AI: Traditional text- or diagram-based AI explanations are impractical in high-stress, hands-on scenarios. The focus shifts to situated, embodied explainability, where AI reasoning is communicated through intuitive visual cues, audio alerts, or haptic feedback, integrated directly into the physical workspace for immediate comprehension.

3 Shifts Fundamental Shifts for Next-Gen XR Systems

Enterprise Process Flow

Calibrated Trust

→

Resilience by Design

→

Situated Explainability

Feature	Traditional XR	Next-Gen XR (CEs)
Trust Model	Static & Maximized	Dynamically Calibrated Handles Over/Under Trust
System Robustness	Seamless (Brittle to Failure)	Resilient (Graceful Degradation) Communicates State during Failure
AI Explanation	Transparent (Text/Diagrams)	Situated & Embodied Visual, Audio, Haptic Cues

Case Study: Emergency Response with Resilient XR

An emergency medical team responding to a multi-casualty incident relies on XR headsets providing critical patient data and navigation. During the incident, a partial network outage occurs. Instead of a complete system failure, the Resilience by Design approach ensures the XR system gracefully degrades. Essential information, like patient vitals, continues to display using cached data, while real-time navigation switches to a pre-loaded offline map with clear visual indicators of the data staleness. The system communicates the partial outage through a subtle audible cue and a yellow border around affected data fields, allowing paramedics to maintain Calibrated Trust. Furthermore, AI-driven diagnostic suggestions are now delivered via Situated Explainability using haptic feedback on the forearm, indicating confidence levels, rather than on-screen text, keeping the paramedics' eyes on the patient.

Calculate Your Potential AI ROI

Estimate the transformative impact of enterprise AI on your operations. Adjust the parameters to see potential annual savings and reclaimed hours.

Your Industry

Number of Employees Impacted

Average Hours Per Week on Repetitive Tasks

Average Hourly Cost Per Employee ($)

Potential Annual Savings

Annual Hours Reclaimed

Your AI Implementation Roadmap

Embark on a structured journey to integrate AI and XR into your challenging environments. Our phased approach ensures smooth adoption and measurable results.

Phase: Discovery & Strategy

Comprehensive analysis of current workflows and identification of high-impact AI/XR opportunities. Define clear objectives and success metrics.

Phase: Pilot & Validation

Develop and deploy a small-scale pilot project. Gather feedback, validate assumptions, and refine the solution for optimal performance and user acceptance.

Phase: Scaled Implementation

Roll out the refined XR/AI solutions across your organization. Provide training and ongoing support to ensure seamless integration and maximum benefit.

Phase: Optimization & Futureproofing

Continuously monitor performance, gather insights, and iterate on the solution. Integrate new technologies and adapt to evolving challenges to maintain a competitive edge.

Plan Your AI Journey

Ready to Transform Your Operations?

Unlock the full potential of AI and XR in your challenging environments. Schedule a personalized consultation with our experts to design a resilient, intelligent future for your enterprise.

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XR for Challenging Environments