All workshops will take place in person on October 23, 2023
8:30 AM - 5:00 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. Data analytics and machine learning draw on techniques that are unfamiliar to many behavioral scientists, but data scientists may be unfamiliar with many important features of behavioral data. This workshop supplies practical skills in behavioral data analytics and 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.
8:30 AM - 5:00 PM
Applying Model-Based Systems Engineering in Human Systems Integration
Presenters: Michael Miller, and Joseph Kristbaum
Model-Based Systems Engineering (MBSE) is being applied across the Department of Defense and Industry to improve the speed and robustness of engineering design and development. These models serve as the authoritative source when understanding the requirements, structure, and behavior of systems. While the languages, methods, and tools used in MBSE practices were designed with a software and hardware focus, these languages, methods, and tools can be adapted to include human-related information to aid system specification and communication to benefit human operators, maintainers, and users. This workshop is designed to provide the attendees with an overview of the Systems Modeling Language, one of the more common MBSE languages, common modeling methods, and a common modeling tool. Examples of human representations will be provided. 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.
8:30 AM - 5:00 PM
Human-AI Teaming: Design and Evaluation
Presenters: Patricia McDermott, Ronna ten Brink, and Cindy Dominguez
In this workshop, participants will learn how to design and evaluate autonomy, automation, and AI that partners successfully with humans. Participants will learn about the many facets of human-machine teaming (HMT) as relates to systems with autonomy and practice a set of methods for designing team-based interaction with these emerging systems. Through examples, the instructors will describe the research-based HMT Framework that addresses the need for appropriate observability, cognitive assistance, and coordination. This HMT Framework has ten themes with supplemental design guidelines that can be leveraged to construct a successful partnership between humans and autonomy.
The workshop will be highly interactive with lively discussions and exercises to practice HAT methods in context. Upon completing the workshop, participants will be able to:
- Explain the wealth of research in HAT and how to use it towards effective design
- Identify when an opportunity exists to leverage HMT/HAT systems engineering methods
- Apply HMT/HAT systems engineering methods to their problem domain.
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 is to support 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:
- Discuss HFES 400-2021 development and content
- Describe how the HRL scale is applied in current and historical acquisition programs
- Apply the HRL scale to practical real-world problems
8:30 AM - 12:00 PM
Evolving Our Investigative Sensemaking; How to Use Frames, Models, and a Systems Thinking Approach for Inquiry and Understanding
Presenter: John Black
This workshop is an introductory overview of how to evolve our perspectives when analyzing events and outcomes of complex, interrelated systems. Working from a proposed sensemaking-decision-making (SM-DM) framework that includes human factors, the workshop first explores the value of visualization and visually represented frameworks that focus on exploring distinctions, systems, relationships, and perspectives (DSRP). Multiple frameworks, including Cynefin and the four truths, allow a greater focus on sensemaking and understanding in contrast to an outcome-centric view.
1:30 PM - 5:00 PM
Neuroergonomics: Fundamentals, Applications, and Hands-on Training
Presenters: Ranjana Mehta, and Hasan Ayaz
This workshop introduces the fundamentals and applications of neuroergonomics across a variety of human factors and ergonomics domains and also addresses important issues specific to neuroimaging data. Participants will learn two popular neuroimaging techniques (Electroencephalography (EEG) and functional near infrared spectroscopy (fNIRS) and understand their strengths and challenges in diverse applications. This workshop also provides practical skills on data collection with EEG and fNIRS. Exercises and sample examples are included that will enable participants to learn how to clean neural data, process the data using different filtering techniques, and interpret neural bases of behavioral outcomes. A survey of the various neuroimaging metrics (e.g., activation, connectivity) will also be presented.
Materials to be covered:(1) Introduction to neuroergonomics; (2) Applications of neuroergonomics in cognitive and physical ergonomics; (3) Hands-on Training of EEG and fNIRS. Participants will need to have expertise in fundamental principles of human factors and ergonomics through coursework, research projects, or practice. No prior knowledge/expertise in neuroergonomics is required.
- Who should take this workshop: Students, faculty, industry/government professionals