Workload-Adaptive Human Interface to Aid Robust Decision Making in Human-System Interface. Year 1 Report
Abstract
This report summarizes activity from the first year of a three-year project on aiding decision making in human-system interface. This report includes description of a new adaptive automation design model, allowing system designers the ability to visually and systematically evaluate the placement of adaptive automation within a system network. This model aids the designer to isolate the tasks, which require human decision making, ideally permitting tasks to be automated which do not require human decisions. A tool for evaluating adaptive automation, referred to as Space Navigator has been developed. This game has been designed using the model, has allowed us (and future researchers) to simplify data gathering from human participants. The resulting automation system will allow for research into how similarity and difference of actions between a human-machine team affect the overall performance of the system. The final experimental data will provide several areas of further research including trust in automation, training improvement, workload reduction (actual and perceived), and task load switching.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 30, 2014
- Accession Number
- ADA601227
Entities
People
- Brent Langhals
- Gilbert L. Peterson
- Jason Bindewald
- Michael Miller
Organizations
- Air Force Institute of Technology