Abstract
This article proposes the Mobile Office, an AR-Based System for productivity applications in industrial environments. It focuses on addressing workers’ needs while mobilizing in complex environments and when workers want to do productive work similar to a workstation setting. For this purpose, the Mobile Office relies on a bi-modal approach (mobile and static modes) to addresses both scenarios while considering critical aspects such as UI, ergonomics, interaction, safety, and cognitive user abilities. Its development relies first on a systematic literature review for establishing guidelines and system aspects. Then AR-UI mockups are presented to incorporate literature and authors’ expertise in this area. Three hardware configurations are also presented for the implementation of the Mobile Office. Validation of the Mobile Office was made through a survey to potential users that provided their feedback about their perceptions of proposed system. The survey results revealed concordance of critical aspects of particular importance for effective productivity support on the Mobile Office’s focus scenarios. We incorporated these critical aspects and suggested future research direction for the Mobile Office’s further development and significance.
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Daniel Linares contributed to developing the theoretical framework including review literature, and the Mobile Office Design. He also helped develop, conduct, and interpret survey results. He also contributed to writing the article. Dr. Bowman led the project and provided expert guidelines and recommendations for the Mobile Office. He also helped to edit the article. Poorvesh Dongre helped to develop the theoretical framework, including the review of the literature. He also helped during the IRB review and also helped writing and to review the article. Dr. Roofigari helped in reaching out to participants for the survey and helped in reviewing the article.
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Linares Garcia, D.A., Dongre, P., Roofigari-Esfahan, N., Bowman, D.A. (2021). The Mobile Office: A Mobile AR Systems for Productivity Applications in Industrial Environments. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. HCII 2021. Lecture Notes in Computer Science(), vol 12770. Springer, Cham. https://doi.org/10.1007/978-3-030-77599-5_35
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