Effects of Augmented Reality Training Systems on Information Processing and Performance during Tactical Combat Casualty Care (1090-004147) (Developmental Research Projects: Sim Methods and Learning Theory (By Invitation Only))
Start time: Tuesday, February 2, 2021, 4:00 PM End time: Tuesday, February 2, 2021, 5:00 PM Session Type: Research Study Development and Presentation Program Abstracts
Augmented reality (AR) is increasingly being used in medical simulation to improve training and performance (1,2,3). Still, more research is needed into the possible hinderances that may stem from Head-Worn Displays (HWD). Specifically, the impact of AR on human information processing has yet to be fully characterized, precluding definitive comparisons to real-world training. Critical questions include: 1) how do HWD transform perception, cognition, and decision making; 2) do HWD alter the relationship between sensation, embodiment, and action; 3) does attention allocation change in HWD due to the restricted field-of-view or other display parameters; 4) is hand-eye coordination in HWD perturbed by asynchrony or misalignment? Eye-tracking measures provide an objective avenue for addressing these questions, as these data can be used to detect cognitive processes related to information processing and could be instructive in identifying display-related limitations that may impact learning.
A target sample of 144 participants (72=experts, 72=novice) will be recruited, with each participant being immersed in two (2), counterbalanced, twenty-minute real-world and AR training modules. Dependent variables include expertise level and presence or absence of a 5-min break between modules (between subjects) and real-world vs AR modules (within subjects). Independent variables will include eye tracking metrics, task outcomes, cognitive workload and situational awareness measures. MANOVAs will be the primary data analytic strategy, with additional univariate and post-hoc tests to aid in the interpretation of results.
Results of MANOVAs are expected to yield significant differences between AR and real-world training outcomes regarding eye tracking, cognitive, behavioral, and task measures. Eye tracking measures will elucidate the degree to which training technology/environment and expertise influence information processing. Experts are expected to exhibit better HIP across AR and real-world scenarios. Similarly, participants exposed to breaks during their modules are expected to exhibit better outcomes than their counterparts without breaks. By using eye tracking and other data to examine the effect that expertise level, inclusion of a rest period, and training modality have on human information processing, in the context of military medical training, this study will be used to guide the development of AR applications that maximize transfer of training.