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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hayashi, M. Beutter, B. McCann, R.S. |
| Copyright Year | 2005 |
| Description | Author affiliation: San Jose State Univ. Found., NASA Ames Res. Center, Moffett Field, CA, USA (Hayashi, M.) |
| Abstract | The paper describes the application of a novel analysis technique employing hidden Markov models (HMMs) to analyze complex sequences of visual fixations and understand the supervisory monitoring strategies of space shuttle cockpit crewmembers. While HMM analysis has been shown to be useful for understanding the scanning behavior of air craft pilots engaging in manual flight control, it has not yet been applied to the supervisory monitoring context. The paper presents a proof-of-concept demonstration by applying HMM analysis to the eye-movement data of a veteran Commander astronaut performing simulated ascent-phase operations. The paper also demonstrates how the resulting HMM parameters can be used to detect deviations from regular scan patterns. |
| Starting Page | 1615 |
| Ending Page | 1622 |
| File Size | 932367 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780392981 |
| DOI | 10.1109/ICSMC.2005.1571379 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-10-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hidden Markov models Space shuttles NASA Instruments Aircraft Displays Space vehicles Aerospace control Computerized monitoring Stochastic processes visual search Automation eye movements Hidden Markov Model (HMM) saccades scan patterns Space Shuttle cockpit displays supervisory monitoring |
| Content Type | Text |
| Resource Type | Article |
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