Augmented Reality for Enterprise Alliance

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""Human factors""

Informing AR Users About Hazards in Proximity

Aug 18 2021

- This research will provide AREA members insights into the workplace of industrial employees and could furnish protocols to include in AR systems when integrating with enterprise safety and risk management systems.

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Biometric Identification of Wearable Enterprise AR Device Users

Aug 18 2021

- Securing endpoints in the enterprise is a critical step in preventing compromised security of enterprise systems. - Highly personal modalities of authentication raise legitimate authentication, human factors and privacy concerns. - Implementing best practices reduce the negative impacts of slow and unreliable user authentication and inputs.

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Trade-off and Substitution: Stereoscopic Vision for Spatial Audio

Aug 18 2021

Spatial vision is not always as practical, comfortable or affordable way to produce AR experiences that help reach use case objectives. - If performance requirements on vision-based AR delivery can be reduced using spatial audio components or solutions, enterprises may have more options and greater flexibility when sourcing their AR experience delivery devices. - Adopting spatial audio-based solutions may lower total resourcing needs, reducing the financial barriers of enterprise adoption. - Spatial audio may also increase the impact of AR experiences in which there is possibility of visual AR interference or occlusion of the user's vision.

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Testing Protocols for AR-assisted Human-Robot Interaction

Aug 18 2021

- Robotics are pervasive in manufacturing, a key area for many AREA members. - However, safety concerns in collaborative robotics scenarios have curbed overall use. - AR-enabled communication between humans and robots can create a much safer environment.

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Systems Integration between PLM Systems and AR

Aug 18 2021

- Product design and manufacturing is the focus of many AREA customer segment members. - Resources invested in connecting domain-specific models, such as those stored with PLM systems, to proprietary AR engines and presentation systems increase cost and the time to reaching positive RoI on AR investments in manufacturing. - If a standard data model to represent AR-related data in manufacturing for use in PLM were adopted, systems integrators would increase use of AR in their solutions and members would have lower risk and investment to re-use existing or new engineering assets in AR experience.

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