Step into the world of Human Factors and UX with the Human Factors Minute podcast! Each episode is like a mini-crash course in all things related to the field, packed with valuable insights and information in just one minute. From organizations and conferences to theories, models, and tools, we've got you covered. Whether you're a practitioner, student or just a curious mind, this podcast is the perfect way to stay ahead of the curve and impress your colleagues with your knowledge. Tune in on the 10th, 20th, and last day of every month for a new and interesting tidbit related to Human Factors. Join us as we explore the field and discover how fun and engaging learning about Human Factors can be!
...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.
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10 Oct 2026
HFETAG - Design: Tools & Techniques
...and now for another Human Factors Minute!
Did you know the The Department of Defense Human Factors Engineering Technical Advisory Group is composed of 19 sub Technical Advisory Groups?
One of those is the Design: Tools & Techniques SubTAG.
The Design: Tools and Techniques SubTAG is focused on the tools and methods that ensure Human Engineering can enhance human system interfaces and prevent human error or injury. The SubTAG is concerned with tools, techniques, analyses, and databases which facilitate human performance considerations throughout a system’s lifecycle; as well as the measurable impact human engineering has on manpower, personnel, training, safety, health and biomedical requirements, and survivability.
Five key functions are defined for the Design: Tools and Techniques SubTAG.
These are to:
-Develop and maintain a detailed, categorized list of HE tools and methods;
-Provide a repository where government-owned human engineering tools and related training can be housed and shared;
-Identify gaps where HE tools and methods are needed
-Spur joint efforts that will promote the development of needed tools and methods that enhance HE equipment, systems, and facilities designs
and provide a forum for the exchange of technical information and identification of points of-contact within the DoD, other government agencies, and affiliated organizations.
To find out more about the The Department of Defense Human Factors Engineering Technical Advisory Group, and its sub Technical Advisory Groups, visit the HFE TAG website (https://rt.cto.mil/ddre-rt/dd-rtl/hfetag/).
This has been another Human Factors Minute!
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30 Sept 2026
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
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Resources:
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