UROP Project
Cognitive Load Comparison in Diagrammatic vs. Textual SysML v2 Modeling
SysML v2, Cognitive Load, Human Factors, NASA-TLX
Research Mentor: Mr Matthew Bosworth,
Department, College, Affiliation: Center for Advanced Power Systems, N/A
Contact Email: matt@caps.fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators: Dr. David Gross
Faculty Collaborators Email: dcgross@eng.famu.fsu.edu
Department, College, Affiliation: Center for Advanced Power Systems, N/A
Contact Email: matt@caps.fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators: Dr. David Gross
Faculty Collaborators Email: dcgross@eng.famu.fsu.edu
Looking for Research Assistants: Yes
Number of Research Assistants: 1
Relevant Majors: Open to all majors
Project Location: Innovation Park
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 10, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link:
Number of Research Assistants: 1
Relevant Majors: Open to all majors
Project Location: Innovation Park
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 10, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link:
- Day: Friday, September 5
Start Time: 2:30
End Time: 3:00
Zoom Link: https://fsu.zoom.us/my/matt.fsu
Project Description
This study compares how people process SysML v2 models when presented as diagrams versus text. Students will help design and run experiments using the NASA-TLX (Task Load Index) to measure cognitive load, collect participant responses, and perform statistical analysis. The results will inform how best to present system models for comprehension and efficiency.Research Tasks: Experimental design document, dataset, statistical results, and a short paper or presentation.
Skills that research assistant(s) may need: Interest in human factors, data analysis, or experimental design. Statistics experience is a plus.
Mentoring Philosophy
As a mentor, my goal is to create an environment where undergraduate researchers can confidently explore new ideas, develop technical skills, and contribute meaningfully to active research. I view mentorship as a collaborative process — students bring curiosity, fresh perspectives, and energy, while I provide guidance, resources, and structure to help them grow.I believe in balancing independence with support. Students will receive the background, tools, and initial training needed to get started, but will also be encouraged to take ownership of their work, make decisions, and learn through problem-solving. I emphasize clear communication, regular check-ins, and constructive feedback to ensure progress while maintaining flexibility for different learning styles.
My projects often combine technical research with creative problem-solving, so I encourage students to ask questions, challenge assumptions, and connect their work to real-world applications. Above all, I want students to leave the experience with not only new skills but also greater confidence in their ability to learn, adapt, and contribute in any professional or academic setting.