The potential of Augmented Reality (AR) for educational and training purposes is well known. While large-scale deployments of head-mounted AR headsets remain challenging due to technical limitations and cost factors, advances in mobile devices and tracking solutions introduce handheld AR devices as a powerful, broadly available alternative, yet with some restrictions. One of the current limitations of AR training applications on handheld AR devices is that most offer rather static experiences, only providing descriptive knowledge with little interactivity. Holistic concepts for the coverage of procedural knowledge are largely missing. The contribution of this paper is twofold. We propose a scalabe interaction concept for handheld AR devices with an accompanied didactic framework for procedural training tasks called TrainAR. Then, we implement TrainAR for a training scenario in academics for the context of midwifery and explain the educational theories behind our framework and how to apply it for procedural training tasks. We evaluate and subsequently improve the concept based on three formative usability studies (n = 24), where explicitness, redundant feedback mechanisms and onboarding were identified as major success factors. Finally, we conclude by discussing derived implications for improvements and ongoing and future work.
Zusammenfassung
In Deutschland hat jede Frau während Schwangerschaft, Geburt, Wochenbett und Stillzeit einen gesetzlichen Anspruch auf Hebammenhilfe. Hebammen fungieren als Primärversorger*innen und verfolgen einen präventiven und gesundheitsförderlichen Ansatz. Insbesondere Familien in herausfordernden Situationen könnten hiervon profitieren. Eine flächendeckende Versorgung mit Hebammenhilfe ist momentan aufgrund des nicht niederschwelligen Zugangs sowie eines Hebammenmangels nicht sichergestellt – insbesondere zum Nachteil von Frauen und Familien in belastenden Lebenslagen.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.