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69. Making Quick Decisions, Quicker with Jason Sherwin

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Manage episode 348538313 series 2995592
Treść dostarczona przez The Army Mad Scientist Initiative. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez The Army Mad Scientist Initiative lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

[Editor’s Note: Army Mad Scientist is pleased to present our latest episode of The Convergence podcast, featuring our interview with proclaimed Mad Scientist Jason Sherwin, CEO and Co-Founder of deCervo, discussing the science of quick decision making, how deCervo blends gaming with science to help individuals make the best decisions in high stakes and complex environments, how these technologies have enhanced professional athletes’ performance, and these technologies’ potential for enhancing Soldiers’ performance — Enjoy!]

Jason Sherwin, Ph.D., is a founder and currently serves as CEO of deCervo, a neuroscience tech company he founded with his research partner, Jordan Muraskin, Ph.D. Since starting in 2014, deCervo has provided cognitive training programs using neuroimaging and customized phone apps to over 15 Major League Baseball organizations, over 60,000 baseball and softball players worldwide, the umpires of the Major Leagues, and the officials of the National Hockey League. deCervo has been an Army research grant recipient since 2017 and Sherwin himself has done contract research for the U.S. Army Combat Capabilities Development Command Army Research Laboratory going back to 2011. Continuing to apply its novel approach to decision training, deCervo is currently launching apps in law enforcement and tennis training to complement its suite of five other apps for decision training.

  • Analyzing quick decision-making is done by providing simple stimuli to people, imaging their response and its speed, and identifying how their brain reacts to different inputs. This can be accomplished by having a subject listen to a song with an unexpected, abrupt key change; not only do brains show a reaction to that unexpected change, but trained musicians’ brains produce a stronger response, as captured via electro-encephalogram (EEG), than a non-musician’s brain.

  • deCervo’s apps for baseball players use accuracy measurements to estimate how well the user discriminates between different kinds of pitches. This approach is an evolution from using EEGs, and shows that non-invasive methods can be just as effective in measuring responses. Improving athletic prowess on the playing field has direct implications for improving warfighting prowesson the modern battlefield.

  • Emotion impacts all decision making, but deliberate decisions are more susceptible to influence from emotionand often require simulations generated by video or AI to produce environments that are closer to real life. For Soldiers, decisions often need to be deliberate while dealing with fear and strong emotion in dynamic, austere, and potentially lethal environments; training for this kind of decision making requires teaching people how to respond quickly and correctly, despite emotional impacts or inhibition.

  • Military decision making can involve simple decisions like target detection, but more often requires the ability to make complex, deliberate decisions. Using effective human teaming and social sensing can help train for visual search type decisions where Soldiers analyze their own placement and their teammates’ placements and effectively respond as a team.

  • Using a deCervo app is like getting the Cliff’s Notes on how to do your job better. It’s not just about training for better decision making, but also informing users about what making those decisions quickly feels like, what it means to identify the correct response, and what to do next so users trust what the system is trainingthem to do.

  • Real-time decision making for military applications could even be supplemented by technology that assists and optimizes the situation for choosing correct responses, andquick decision-making training with such tools can build Soldiers’ trust in the ways these systems assist them.

Stay tuned to the Mad Scientist Laboratory for our next episode of The Convergence, recorded on location at I/ITSEC, the world’s largest modeling and simulation conference in Orlando, FL. We’ll be talking with proclaimed Mad Scientist Jenny McArdle from Improbable, Cmdr. Paul Grøstad from NATO ACT, and Whitney McNamara from Beacon Global Strategies about emerging technologies and competition and conflict.

  continue reading

98 odcinków

Artwork
iconUdostępnij
 
Manage episode 348538313 series 2995592
Treść dostarczona przez The Army Mad Scientist Initiative. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez The Army Mad Scientist Initiative lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

[Editor’s Note: Army Mad Scientist is pleased to present our latest episode of The Convergence podcast, featuring our interview with proclaimed Mad Scientist Jason Sherwin, CEO and Co-Founder of deCervo, discussing the science of quick decision making, how deCervo blends gaming with science to help individuals make the best decisions in high stakes and complex environments, how these technologies have enhanced professional athletes’ performance, and these technologies’ potential for enhancing Soldiers’ performance — Enjoy!]

Jason Sherwin, Ph.D., is a founder and currently serves as CEO of deCervo, a neuroscience tech company he founded with his research partner, Jordan Muraskin, Ph.D. Since starting in 2014, deCervo has provided cognitive training programs using neuroimaging and customized phone apps to over 15 Major League Baseball organizations, over 60,000 baseball and softball players worldwide, the umpires of the Major Leagues, and the officials of the National Hockey League. deCervo has been an Army research grant recipient since 2017 and Sherwin himself has done contract research for the U.S. Army Combat Capabilities Development Command Army Research Laboratory going back to 2011. Continuing to apply its novel approach to decision training, deCervo is currently launching apps in law enforcement and tennis training to complement its suite of five other apps for decision training.

  • Analyzing quick decision-making is done by providing simple stimuli to people, imaging their response and its speed, and identifying how their brain reacts to different inputs. This can be accomplished by having a subject listen to a song with an unexpected, abrupt key change; not only do brains show a reaction to that unexpected change, but trained musicians’ brains produce a stronger response, as captured via electro-encephalogram (EEG), than a non-musician’s brain.

  • deCervo’s apps for baseball players use accuracy measurements to estimate how well the user discriminates between different kinds of pitches. This approach is an evolution from using EEGs, and shows that non-invasive methods can be just as effective in measuring responses. Improving athletic prowess on the playing field has direct implications for improving warfighting prowesson the modern battlefield.

  • Emotion impacts all decision making, but deliberate decisions are more susceptible to influence from emotionand often require simulations generated by video or AI to produce environments that are closer to real life. For Soldiers, decisions often need to be deliberate while dealing with fear and strong emotion in dynamic, austere, and potentially lethal environments; training for this kind of decision making requires teaching people how to respond quickly and correctly, despite emotional impacts or inhibition.

  • Military decision making can involve simple decisions like target detection, but more often requires the ability to make complex, deliberate decisions. Using effective human teaming and social sensing can help train for visual search type decisions where Soldiers analyze their own placement and their teammates’ placements and effectively respond as a team.

  • Using a deCervo app is like getting the Cliff’s Notes on how to do your job better. It’s not just about training for better decision making, but also informing users about what making those decisions quickly feels like, what it means to identify the correct response, and what to do next so users trust what the system is trainingthem to do.

  • Real-time decision making for military applications could even be supplemented by technology that assists and optimizes the situation for choosing correct responses, andquick decision-making training with such tools can build Soldiers’ trust in the ways these systems assist them.

Stay tuned to the Mad Scientist Laboratory for our next episode of The Convergence, recorded on location at I/ITSEC, the world’s largest modeling and simulation conference in Orlando, FL. We’ll be talking with proclaimed Mad Scientist Jenny McArdle from Improbable, Cmdr. Paul Grøstad from NATO ACT, and Whitney McNamara from Beacon Global Strategies about emerging technologies and competition and conflict.

  continue reading

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