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Augmented Remote Guidance in Final Assembly of Military Aircraft

With today’s smartphones and smart glasses, and the progression of augmented reality, the possibilities to interact over distance has made it feasible to guide one another in an intuitive and effective way. This combination of technology and software principles allows a local operator to record a scenario from his or her point of view and show this to a remotely located expert. An expert can, in turn, help the operator by interacting through that video feed by highlighting aspects and overlaying information for the operator to see. The aim of this study was to investigate how such a system should be configured if it were to be implemented in the context of final assembly of military aircraft. An understanding of the context and situations where external help might be needed was established through an ethnographical study. User tests were conducted with an existing system in comparable cases, inspired by results from the first study. This in order to evaluate the configuration of the hardware and interactivity. Results indicate that it is useful to implement a remote guidance system which allows augmented overlays in the context of final assembly. A greater need for such a system was found in situations in which a subject matter expert must investigate and assess issues and errors that has occurred. These scenarios are often characterized by differentiating environment, from cases where there is a good overview to situations in which the mirrors must be used to see from the right angle beyond one’s field of view. A remote guidance system should be able to support both cases and must, therefore, be modular in a way so that an external camera can be used to reach in while the screen can be seen simultaneously. Regarding the need for interaction between interactors in such situations are limited. The user studies indicate that simple referential gestures on frozen images of a video feed might be enough. / Global Assembly Instruction Strategies (GAIS) 2

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-153568
Date January 2018
CreatorsSäll, Jakob
PublisherLinköpings universitet, Institutionen för datavetenskap
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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