Configuring augmented reality users: analysing YouTube commercials to understand industry expectations

Wortmeier, Ann-Kathrin; Calepso, Aimee Sousa; Kropp, Cordula; Sedlmair, Michael; Weiskopf, Daniel

doi:10.1080/0144929x.2022.2163693

Cited by 5 publications

(1 citation statement)

References 41 publications

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“…Nevertheless, it is important to point out the need to implement new technology in a way that takes into consideration the acceptance by users. Given that expectations about technology from stakeholders often diverge from the actual implementation results (Wortmeier 2023), understanding best practices to implement it in real world use cases is essential.…”

Section: User Experience Evaluationmentioning

confidence: 99%

Multi-Actor Fabrication for Digital Timber Construction

Amtsberg,

Yang,

Skoury

et al. 2023

Proceedings of the 41st International Conference on Education and Research in Computer Aided Architectural Design in Europe (eC

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yang|lior.skoury|thomas.wortmann|Achim.menges }@icd.unistuttgart.de 2 {Aimee. Sousa-Calepso|Michael.Sedlmair}@visus.uni-stuttgart.de The research presented in this paper focusses on the prefabrication of wood building systems using human craft and robotic machines as equal actors in collaborative fabrication processes. It uses self-developed components such as a data managing framework system to generate and exchange fabrication data between the design elements and the fabrication environment. Human robot collaboration via augmented reality (AR) technology is facilitated through a software framework and applied in the prefabrication of timber structures. Based on previous research, this iteration uses the concept of multiactor fabrication and extends the number of human actors in the fabrication process. A case study was conducted for the collaborative fabrication of a timber structure. Five actors (four humans and one 7-axis robotic system) received instructions based on their individual skill set and collectively manufactured a timber structure in an organized workflow.

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Section: User Experience Evaluationmentioning

confidence: 99%