Dr. Alonso Vera
Dr. Alonso Vera is Chief of the Human Systems Integration Division at NASA Ames Research Center in Mountain View, California. His background is in the areas of human-computer interaction, information systems, artificial intelligence and computational human performance modeling. He has led the development of mission software systems across NASA robotic and human space flight missions. Dr. Vera received a Bachelor of Science with First Class Honors from McGill University in 1985 and a Ph.D. from Cornell University in 1991. He went on to a Post-Doctoral Fellowship in the School of Computer Science at Carnegie Mellon University from 1990-93. Dr. Vera has been at NASA for 16 years.
Human System Integration Division is part of NASA Ames Exploration Technology, http://www.nasa.gov/ames/exploration-tech/#.V9JXm5OLSCX
Human Systems Integration is headed by Dr. Alonso Vera:
– Overview of this Division, http://www.nasa.gov/centers/ames/orgs/exploration-tech/humanint-cap.html
– Annual Reports and topics of interest to Human Systems Integration Division, http://humansystems.arc.nasa.gov/factsheets/th_brochure_2017_web.pdf
– Dozen NASA Labs under this Division, http://hsi.arc.nasa.gov/techareas/tech_areas.php
Astronauts and IoT, Toward True Human-Autonomy Teaming
Among both experts and novices witnessing the rapid development of intelligent systems over the past decade, there are two quite distinct views of the new future. In one view, intelligent systems will quickly surpass human performance and humans will be replaced by machines across a range of activities from driving to management of complex systems like air space operations. In the other view, machine intelligence will continue to evolve but in ways that are orthogonal and possibly complementary to human cognition but it will not surpass human cognition in a broad sense such that overall performance of complex systems will still require human participation. The problem is that this is more than just a philosophical debate. Should our research and development efforts be focused on isolated intelligent systems or instead on intelligent systems designed from the outset to interact with humans. Internet-of-Things is a potentially game-changing advance with respect to allowing intelligent systems to become more aware and connected to what is actually going on in the physical world. This talk will focus on these themes and how Internet-of-Things will shape the teaming and interdependence of humans with increasingly intelligent machines.