Overview of a User-Centered, Mixed-Methods Process for Designing Interconnected and Focused Mobile Applications on

Frederic Ehrler1, Ana Rajic1, Alexandre De Masi2

  • 1Direction of information science, University Hospital of Geneva, Gabrielle Perret Gentil 4, Geneva, 1203, Switzerland, 41 765327838.

JMIR Human Factors
|February 13, 2026
PubMed

Insights

This study developed InterFACE, an AR-enabled system to improve pediatric advanced life support (PALS) adherence and team coordination during resuscitation. The system showed promise in simulations, enhancing decision-making and synchronization.

Area of Science:

  • Digital health interventions
  • Human-computer interaction
  • Medical simulation

Background:

  • Pediatric cardiopulmonary resuscitation (CPR) adherence to guidelines is challenging due to cognitive overload and communication issues.
  • Existing digital aids often lack integration or real-time adaptability for complex resuscitation scenarios.
  • Stressful environments in pediatric resuscitation degrade team coordination and information flow.

Purpose of the Study:

  • To design and evaluate InterFACE, an integrated, augmented reality (AR)-enabled digital health system.
  • To enhance real-time adherence to Pediatric Advanced Life Support (PALS) guidelines.
  • To improve team coordination during pediatric resuscitation events.

Main Methods:

  • User-centered design with persona development and spatial analysis.
  • Delphi method with experts to identify critical information elements.
  • Simulation-based evaluations of AR head-mounted displays, team screens, and tablet applications.

Main Results:

  • Consensus reached on 20 core information elements for display across system components.
  • High usability and acceptance demonstrated for all InterFACE components (TeamScreen, Guiding Pad, AR HMDs).
  • AR HMDs received excellent usability scores, with high task completion rates for the Guiding Pad and TeamScreen.

Conclusions:

  • InterFACE, an integrated AR system, shows significant potential for improving PALS adherence and team coordination.
  • The system demonstrated strong usability and acceptance in simulated pediatric resuscitations.
  • Further research is needed for clinical effectiveness, real-world integration, and AI-driven decision support.
Abstract

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