Name
Abstract | ||
|---|---|---|
Supervisory control environments, such as the NASA control room can induce high workload levels in situations where a single error is capable of costing millions of dollars. An intelligent system can improve human supervisor performance by monitoring the human's workload levels and intelligently adapting the system capabilities, such as adapting the interaction medium or reallocating roles and res... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/THMS.2017.2782483 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Speech,Visualization,Sensitivity,Electroencephalography,NASA | Supervisor,Generalizability theory,Computer science,Visualization,Workload,Supervisory control,Algorithm,Artificial intelligence,Control room,Activity-based costing,Machine learning | Journal |
Volume | Issue | ISSN |
48 | 5 | 2168-2291 |
Citations | PageRank | References |
11 | 1.19 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jamison Heard | 1 | 12 | 1.90 |
| Caroline E. Harriott | 2 | 26 | 5.67 |
| Julie A. Adams | 3 | 392 | 53.75 |