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Smart evaluation of instrument scan pattern using state transition model during flight simulator training

conference contribution
posted on 10.05.2019, 00:00 by K Kilingaru, Z Nedic, J Tweedale, Steven Thatcher
Trainee pilots are expected to be thoroughly trained on both technical and nontechnical skills. Technical skills are relatively easy to evaluate. However, non-technical skills are hard to monitor and assess. This study investigates the feasibility of providing a smart evaluation technique that can generate feedback on trainee pilots’ instrument scan behavior. The authors conducted gaze monitoring experiments with a number of trainee pilots while operating a flight simulator in order to isolate patterns of behavior associated with Situation Awareness (SA). Recorded data on eye movements are then processed and transitions are extracted using a state transition model. The sequence of transitions are then processed to retrieve repeated instrument scan pattern. The results are verified using chart visualizations. © Springer International Publishing AG 2018.

History

Editor

Uskov VL; Howlett RJ; Jain LC

Volume

SIST 75

Start Page

292

End Page

301

Number of Pages

10

Start Date

21/06/2017

Finish Date

23/06/2017

eISSN

2190-3026

ISSN

2190-3018

ISBN-13

9783319594507

Location

Vila Moura, Portugal

Publisher

Springer

Place of Publication

Cham, Switzerland

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

University of South Australia; Defence Science and Technology Group,Adelaide

Era Eligible

Yes

Name of Conference

4th KES International. Conference on Smart Education and Smart e-Learning (SEEL-17)