Dynamic Operator Overload: A Model for Predicting Workload During Supervisory Control
| Autor: | Daniel Gartenberg, J. Gregory Trafton, Leonard A. Breslow, J. Malcolm McCurry |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Hazard (logic)
Supervisor Computer Networks and Communications Computer science Human Factors and Ergonomics Workload Computer Science Applications Task (project management) Robot control Human-Computer Interaction Operator (computer programming) Supervisory control Artificial Intelligence Control and Systems Engineering Control theory Signal Processing Robot Simulation |
| Zdroj: | IEEE Transactions on Human-Machine Systems. 44:30-40 |
| ISSN: | 2168-2305 2168-2291 |
| DOI: | 10.1109/tsmc.2013.2293317 |
| Popis: | Crandall and Cummings & Mitchell introduced fan-out as a measure of the maximum number of robots a single human operator can supervise in a given single-human-multiple-robot system. Fan-out is based on the time constraints imposed by limitations of the robots and of the supervisor, e.g., limitations in attention. Adapting their work, we introduced a dynamic model of operator overload that predicts failures in supervisory control in real time, based on fluctuations in time constraints and in the supervisor's allocation of attention, as assessed by eye fixations. Operator overload was assessed by damage incurred by unmanned aerial vehicles when they traversed hazard areas. The model generalized well to variants of the baseline task. We then incorporated the model into the system where it predicted in real time, when an operator would fail to prevent vehicle damage and alerted the operator to the threat at those times. These model-based adaptive cues reduced the damage rate by one-half relative to a control condition with no cues. |
| Databáze: | OpenAIRE |
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