Searching in clutter : visual attention strategies of expert pilots

Beck, Melissa R.; Trenchard, Michael; van Lamsweerde, Amanda; Goldstein, Rebecca R.; Lohrenz, Maura

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Searching in clutter : visual attention strategies of expert pilots

2012-10-22
By Beck, Melissa R. ; Trenchard, Michael ; van Lamsweerde, Amanda

File Language:

English

Details

Alternative Title:

Proceedings of the Human Factors and Ergonomics Society annual meeting, October 22-26, 2012, Boston, MA
Creators:

Beck, Melissa R. ; Trenchard, Michael ; van Lamsweerde, Amanda ; Goldstein, Rebecca R. ; Lohrenz, Maura
Corporate Creators:

Louisiana State University (Baton Rouge, La.) ; Naval Research Laboratory (John C. Stennis Space Center) ; John A. Volpe National Transportation Systems Center (U.S.)
Subject/TRT Terms:
Resource Type:

Proceedings
Geographical Coverage:

United States
Corporate Publisher:

Human Factors and Ergonomics Society
Abstract:

Clutter can slow visual search. However, experts may develop attention strategies that alleviate the effects of clutter on search performance. In the current study we examined the effects of global and local clutter on visual search performance and attention strategies. Pilots and undergraduates searched for an elevation marker in charts of high, medium, and low global clutter. The target was in a low or high local clutter region of the chart or it was absent. High global and local clutter slowed search performance for both pilots and undergraduates. Pilots were more accurate but slower. Pilots’ search strategies differed from undergraduates in the following ways: they had more conservative criteria for responding target absent and spent more time processing the information within each fixation. Pilots and undergraduates used a coarse-to-fine search strategy in which, as the trial progressed, fixation durations increased and saccade distance decreased.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/9688/dot_9688_DS1.pdf
File Type:

[PDF - 1.42 MB]
Collection(s):

Volpe Center
Main Document Checksum:

urn:sha256:1e1e6c4d729a428b1603aa9bdeff733275c931f9733bf516d79951e8a0144ffc

File Language:

English

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