The National Science Foundation (NSF) awarded a $375,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Virginia to develop a new method for designing human-machine interfaces (HMIs) that minimize human error. The project aims to develop a formal foundation of "fuzzy mental models" that can better capture the vagueness inherent in how human operators understand system states and functions. Specific objectives include: (1) systematically eliciting fuzzy mental models from humans, (2) automatically analyzing HMIs to identify potential misalignments between mental models and system design, and (3) generating suggestions to repair these misalignments and reduce the likelihood of human errors. The research will be demonstrated across safety-critical domains such as automobiles, medical devices, web security, and aeronautical systems, with the goal of improving interface usability, expanding the application of formal methods, and providing resources to enhance the reliability of cyber-human systems.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $375.0k | 7/26/23 |