Characterizing Augmented Reality System Efficacy to Drive Improved Medical Training (1090-004292) (Developmental Research Projects: Virtual (By Invitation Only))
Start time: Tuesday, February 2, 2021, 2:00 PM End time: Tuesday, February 2, 2021, 3:00 PM Session Type: Research Study Development and Presentation Program Abstracts
Augmented Reality (AR) is purported to offer medical training gains through interactive, immersive scenarios that promote embodied learning (3). System design capabilities (optics/stereoacuity, display, and graphics) can significantly influence training system efficacy – the degree to which AR training provides multisensory cues needed for learning (1,2). There is a dearth of information on the factors driving AR training system efficacy and the impact of AR exposure on psychology, learning, and patient safety. Key questions include: 1) how do system capabilities drive efficacy and affect user psychology (motivation, presence, self-efficacy); 2) what is the impact of efficacy on learning; and 3) how do task design and the environment mediate or compound AR efficacy effects. A comparative analysis of three AR systems (2 immersive, 1 tablet) will help to answer these research questions and provide AR usage guides for military medical training.
A mixed model empirical design will be executed comparing three AR systems in three different environments (between subjects), using three task designs (within subjects). The experiment will recruit 171 participants. Participants will be randomly assigned to a group (AR system type and environment settings) and experience all medial task designs. Prior to AR exposure, participants will complete pre-tests of knowledge, skill, and psychological state. Scenarios will include 40 minutes of exposure to realistic medical conditions (tension pneumothorax, massive hemorrhage) using an AR medical trainer. A break between exposure will be provided. Measures of performance and behavior will be collected in-situ. Post-assessments of knowledge, skill, and psychology will be collected. ANOVA and correlation analysis will be applied to evaluate effects of system design on dependent variables (psychology, learning, performance) and to define factors influencing AR training system efficacy.
Results of ANOVA are expected to reveal main and interaction effects of AR system design / capabilities, environment, and task design on psychology, knowledge gains between pre- and post-exposure to AR training, and performance during exposure. Post hoc analysis on significant findings will be completed to reveal specific differences between technologies under the environmental conditions. The results will provide insight into system efficacy – quantified potential learning gains or psychological advantages provided by a given system. Systems providing for depth mapping, improved stereoacuity, wider field of view and increased 3D representation are expected to provide better psychological and learning outcomes. Environmental conditions better suited to AR technologies (lighting, temperature) are expected to produce advantages to all outcomes across headsets designs. Tasks designed to take advantage of AR capacities for embodied actions are also expected to produce better outcomes.