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AI Can Make Us More Productive. But Will It Also Make Us More Empathetic People?

PictureJennifer Solberg, Ph.D., Founder & CEO
I have two younger brothers, and once a week, the Solberg kids have a phone call. We each hold management positions in the technology world, so we swap notes about work a lot. We may be one of the few families with a running joke about Kubernetes. After our call the other day, my brother Mike sent me this article from the National Bureau of Economic Research, and I have been geeking out over it ever since. From what I can tell, it’s one of the first studies on how generative AI can improve an organization’s effectiveness – and not just in terms of its bottom line.

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XR Helping to Bring Commercial Aviation to New Heights

PictureJulian Abich, Ph.D., Senior Human Factors Engineer
An estimated 602,000 new pilots, 610,000 maintenance technicians, and 899,000 cabin crew will be needed worldwide for commercial air travel over the next 20 years (Boeing, 2022). That’s about 30,000 pilots, 30,000 maintenance technicians, and 45,000 cabin crew trained annually. Additionally, urban air mobility is creating a new aviation industry that will require a different type of pilot and technician. It's clear there is a demand across the entire aviation industry to turn out new personnel at an increased rate. The demand should not just be met by numbers, but also by knowledge and experience. But how can you train faster, cheaper, and yet still maintain (and exceed) current high standards?

Improving the Probability of XR Adoption for Training

PictureJulian Abich, Ph.D., Senior Human Factors Engineer
This presentation will discuss each diffusion factor, provide exemplar use cases, and outline evidence-backed considerations to improve the probability of XR adoption for training. Considerations will discuss various effects that may occur with the introduction XR technology, such as the novelty effect where improved performance initially improves due to new technology and not because of learning. Key questions will be presented that should be addressed under each diffusion factor that will help guide the information needed to support the argument for XR adoption.

Why Don't You Just Ask Them?

PictureJulian Abich, Ph.D., Senior Human Factors Engineer
Why collect subjective data from the end-users when evaluating a training device? I was asked this question at a conference last month, almost as if subjectivity is a dirty word. The short answer is that if your users don't like the training device, they likely won't use it. If they don't use it, you won't get the objective data you may be looking for. The term "like" does not necessarily mean the training experience was pleasant. For instance, Soldiers, firefighters, surgeons, etc., must train under difficult, often intolerable conditions to prepare for the real-world challenges of their job. "Liking" the training, in such cases, means...

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