Todd Maddox, Ph.D.

Learning Scientist and Research Fellow, Amalgam Insights

Todd Maddox, Ph.D. is a Learning Scientist and Research Fellow at Amalgam Insights and is the CEO and Founder of Cognitive Design and Statistical Consulting LLC. His passion is to apply his 25 years of scientific and neuroscientific expertise, gained by managing a large human learning, memory and performance laboratory, to help build better training solutions. Todd published over 200 scientific articles resulting in over 10,000 academic citations. Todd is a prolific learning science speaker, and to date, has won over $10 million in federal grants from the National Institute of Health, National Science Foundation, and Department of Defense. After receiving his Ph.D. in Psychology and Brain Science, Todd embarked on a 25-year academic research career achieving status as a leader in the fields of human learning, memory and performance. Todd is especially interested in applying his optimized training expertise to manufacturing, healthcare, and corporate training and sees immense potential for applications of augmented and virtual reality in these sectors.

Tell Us Something Interesting:

I am especially excited about applications of augmented and virtual reality in industrial, manufacturing, healthcare and corporate training. The brain science support for the effectiveness of these technologies is clear. I look forward to discussing the brain science in my presentation.

Session Track: AR/MR/VR

Thursday, June 13 9:00 AM - 9:45 AM 205A

AR624B - Why Augmented Reality is an Effective Tool in Manufacturing: A Brain Science Analysis

This presentation focuses on a brain science evaluation of augmented reality (AR) as a learning and training tool in the manufacturing sector. I show that AR tools hold great promise in manufacturing because they reduce the cognitive load on the learner, provide the opportunity for limitless practice, and speed learning and retention by broadly recruiting multiple learning systems in the brain in synchrony. Specifically, AR tools simultaneously recruit cognitive, behavioral and experiential learning systems in the brain thus creating multiple distinct, but highly interconnected memory traces. Traditional tools focus almost exclusively on the cognitive skills learning system. I examine a number of use cases for AR including supply chain, environmental health and safety (EHS), product development, equipment operation, and field service. Finally, I summarize the brain science underpinnings for the effectiveness of AR tools in each use case.

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