google-site-verification=Bi5tI8WZLmgLQCt3p-aIw8z5CkJAHeD9rrURuZtohHM Signal Detection Theory - Human Factors Minute

Episode 139

Signal Detection Theory

...and now for another Human Factors Minute! Signal Detection Theory is a model for understanding decision accuracy in ambiguous circumstances developed in the 1950s as a response to WWII radar research and is used in domains ranging from psychology, medical diagnostics, and statistical decisions. Detection theory explains an observer's ability to determine the presence or absence of a stimulus, based on how well they can differentiate the target from random input, referred to as noise. What qualifies as a signal and noise is context dependent. Noise is anything that interferes with detection. For humans, noise is everywhere. Personal experience, expectations, physiological state among other factors affect the decision maker’s threshold to filter through internal and external sources of noise. In a life or death scenario someone may be more likely to detect faint stimuli than they would in a moment of safety, but they might also be more likely to over identify harmless stimuli as a threat. A well adapted system demonstrates a strong ability to discern such information. A subject’s identification of the stimuli’s status falls into one of four categories: -True positive -False negative -False alarm -Correct rejection In a real world scenario, a radar operator would be responsible for deciding if the radar screen is displaying electronic signals that represent a plane or random inputs. Detection theory can be observed in memory recognition experiments or eyewitness identification. Witnesses tend to base their decisions on a perceived level of familiarity with the suspect. In this example, the signal is the familiar feeling generated by the known input, and the noise corresponds to a false feeling of familiarity from the new stimulus. 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.