All workshops will take place in person on October 10,  2022. 

View detailed workshop descriptions 

8:30 AM - 12:00 PM

Understanding and Applying the Human Readiness Level (HRL) Scale

Presenters: Judi See, Pamela Savage-Knepshield, Holly Handley, and Mica Endsley

  • This three-hour workshop supports knowledge and application of the Human Readiness Level (HRL) scale described in ANSI/HFES 400-2021 Human Readiness Level Scale in the System Development Process. Attendees will:

    • Understand HFES 400-2021 development and contents.

    • Learn how the HRL scale is applied in current and historical acquisition programs.

    • Apply the HRL scale to practical real-world problems.

9:00 AM - 4:30 PM

Workshop on Applying Model-Based Systems Engineering in Human Systems Integration      

Presenters:  Michael Mille, John McGuirl, and Joseph Kristabum

  • This workshop is designed to provide attendees with an overview of the Systems Modeling Language, one of the more common MBSE languages, common modeling methods and a common modeling tool. Attendees will understand how MBSE is used to depict systems and how to interpret common modeling artifacts, be able to apply these tools to represent human interaction in MBSE models and analyze the utility of these models for understanding the robustness of human-machine interfaces and interactions. 

9:00 AM - 4:30 PM

Behavioral Data Analytics with R    

Presenters: John Lee, Linda Boyle, and Tony McDonald

  • Data analytics, machine learning, and the increasing demand for experts in quantitative user experience present challenges and opportunities for behavioral scientists and human factors engineers. This workshop provides practical skills in behavioral data analytics and also addresses important issues specific to behavioral data. Participants will learn data manipulation and visualization techniques. They will apply these techniques to exploratory data analysis, machine learning, and model understanding.

1:30 PM - 5:00 PM

Trust, Implications, & Measurement

Speakers: Theresa Kessler, Tracy Sanders, and Alexandra Kaplan

  • Participants will learn which factors contribute to human-human, human-robot, human-AI, and human-automation trust, how these types of trust are similar, and how they differ. In addition, we will demonstrate how these concepts interact, with a strong focus on how human-human trust is related to human-systems trust. The impact of cognitive biases and shortcuts on trust calibration will be discussed. Through a hands-on exercise, participants will explore how various features can influence trust calibration. In a separate exercise, participants will identify commonly used methods of information presentation designed to manipulate trust using cognitive bias and shortcuts.