google-site-verification=Bi5tI8WZLmgLQCt3p-aIw8z5CkJAHeD9rrURuZtohHM The Learning-to-Time model - Human Factors Minute

Episode 141

The Learning-to-Time model

...and now for another Human Factors Minute! The Learning to Time model is one of many theories on how humans and other animals time events. This model comprises three major components including behavior states, associative links connecting the state to a response, and the response itself. At the signal of the timed event, one behavior state is active. As time passes, a series of behavior states activate. Each behavioral state is then paired at varying degrees with at least one instrumental response. That degree of response depends on the strength of the activation. What sets this model apart from other time models is that it is based on the rate at which the behavioral states are activated, rather than the rate of the signal. An example of this model might look like a prediction of how someone may react when they've learned how to process various signals and responses in a signal detection task. Overall, this study and others have brought attention to memory structure’s relation with timing. This has been another Human Factors Minute! Be sure to check out our main show at our official website: https://www.humanfactorscast.media Support us on these platforms to get access to the entire Human Factors Minute library: Patreon: https://www.patreon.com/humanfactorscast Buy us a coffee: https://www.buymeacoffee.com/hfactorspodcast Join us on Discord:https://go.humanfactorscast.media/Discord Follow us: Human Factors Cast Merchandise Store: https://www.humanfactorscast.media/p/Store/ Follow us on Twitch: https://twitch.tv/HumanFactorsCast Follow us on YouTube: https://www.youtube.com/HumanFactorsCast Follow us on LinkedIn: https://www.linkedin.com/company/humanfactorscast Follow us on Twitter: https://www.twitter.com/HFactorsPodcast Follow us on Facebook: https://www.facebook.com/HumanFactorsCast Resources: Music by Kevin McLeod: https://incompetech.com/music/royalty-free/

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About the Podcast

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Human Factors Minute
(Presented by Human Factors Cast)

About your host

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Nick Roome

Nick is currently a Systems engineer at Imagine Believe Realize LLC in Phoenix Metro area. Alongside colleague and friends, Blake Arnsdorff and Barry Kirby, Nick hosts and produces Human Factors Cast, a weekly podcast that investigates the sciences of human factors, psychology, engineering, biomechanics, industrial design, physiology and anthropometry and how it affects our interaction with technology. Nick’s other areas of interest include, but are not limited to virtual, augmented, and mixed reality, systems engineering, and artificially intelligent systems.

Nick Started Human Factors Cast in early 2016 as a side-project. He believed that the way Human Factors concepts were being communicated is broken and saw a way to fix it. After getting initial traction, Nick moved to work on the Human Factors Cast Digital Media Lab and began assembling a multi-disciplinary team to test out new concepts in Human Factors communication.