Evaluation of Augmented Reality in Industry

Abstract

Augmented Reality (AR) is seen as a key technology for the development of smart manufacturing. Despite the many possibilities and affordances of this emerging technology, it is a fairly new technology in industry without widespread adoption. Research indicates that there are many affordances of using this technology in industry as well as some challenges. However, there seems to be a lack of research on how to evaluate AR in industry. Based on literature and a case study, we propose guidelines for evaluating AR based on identified dimensions.

Augmenting the Production Operators for Continuous Improvement

“…Information collection and processing activities of humans are aimed to acquire a situation awareness from the initial perception and comprehension of the situation to making the final decision in an effective manner [14] Information and communication technologies (e.g., Manufacturing Execution Systems, dashboards) can guide the operators in performing their cognitive tasks by visual decision support, enhancing the problem-solving capabilities. Enabling technologies such as Augmented Reality (AR) can be utilized for augmenting the work instructions and automated quality verification in combination with machine learning tools, aiding operators in the high-quality performance of their tasks [15]. AR tools can also aid operators in learning and training activities for accelerated skill development and reduced time-to-competence [15].…”

“…Enabling technologies such as Augmented Reality (AR) can be utilized for augmenting the work instructions and automated quality verification in combination with machine learning tools, aiding operators in the high-quality performance of their tasks [15]. AR tools can also aid operators in learning and training activities for accelerated skill development and reduced time-to-competence [15].…”

The Extended Reality Canvas – How Can Organizations Successfully Implement XR Projects?

“…zum Import der in der Industrie stark genutzten Computer-Aided Design (CAD)-Modelle wahrgenommen(Bellalouna 2020). Bei der Gestaltung des User Interfaces (UI) für XR-Anwendungen ist zudem der Balanceakt zwischen spaßfördernden interaktiven UIs und einer gleichzeitig nicht zu überfrachtenden Ansicht, die zur Informationsüberflutung führen kann, zu meistern(Dahl et al 2020). Bei der Integration von XR-Hardware Bei jeder Investition in neue Technologien sind deren Kosten zu berücksichtigen.…”

“…Demonstrationen können dabei helfen, im Vorfeld eine positive Erwartungshaltung zu erzeugen(Osmers und Prilla 2020). Eine wahrgenommene Arbeitserleichterung bei Nutzung der Technologie kann langfristig zu einer Akzeptanz bei Nutzern führen(Dahl et al 2020), während ein niedriges technologisches Vorwissen eine Barriere darstellt, da bereits schnell Frustration bei der Nutzung einsetzen kann.Die insgesamt 35 Einflussfaktoren, die bei der Spezifikation von XR-Anwendungsfällen relevant sind (siehe Abb. 3), wurden folglich bei der Erzeugung des XR-Canvas eingebunden.…”