402 Using Industry Standards to Future-Proof Your AR Solution

4:00 PM - 5:00 PM Wednesday, July 26

There is excitement in the air about augmented reality; but, just like with any new technology, different companies are approaching it from different directions. And while looking at the potential of AR from a number of angles will help push the technology further, this lack of a single development approach also means that, at this stage, some solutions will play nicely with others and some will not. To assist this technology in moving forward and becoming mainstream, the augmented reality space needs some established structure and standards.

In this interactive session, you’ll explore various aspects of a new standard for AR: the IEEE Augmented Reality Learning Experience Model (AR-LEM). You’ll take a closer look at the aspects of augmented reality that should be standardized and why industry standards for AR are important for helping this technology grow. You’ll also investigate the specifics of the standard, enabling you to ensure that the augmented reality solutions you’re working on now will also work with the tools of the future.

In this session, you will learn:

  • What the IEEE AR-LEM standard is and how it impacts AR
  • How to interpret the various aspects of the standard
  • What impact the standard may have on a specific project
  • How to begin making AR-standard decisions now to help future-proof your projects

Audience:
Novice to intermediate designers and developers.

Technology discussed in this session:
Experience API (xAPI).

Anne Knowles

Instructional Systems Designer

L3 Link Simulation and Training

Anne Knowles is a senior instructional designer for L3 Link Simulation and Training. She has a core expertise of seeing the big picture, absorbing complex information, developing strategies to overcome challenges, and attending to details for success. She has experience in applying this to instructional systems design projects for the US Air Force with L3 Link. Anne is currently on a research and development team creating a rules-based adaptive learning system. Previously, she was an engineer/scientist with the McDonnell Douglas Artificial Intelligence Lab and the director of a small company. She earned her MEd from the University of Oklahoma.

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