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Title: Seeing into the black box: Using eye tracking in user-driven workflows to better understand decision-making processes.

Abstract

Abstract not provided.

Authors:
; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1500204
Report Number(s):
SAND2018-2483C
661252
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the NDIA: Human Systems.
Country of Publication:
United States
Language:
English

Citation Formats

Divis, Kristin Marie, Chen, Maximillian Gene, McNamara, Laura A., and Morrow, James D. Seeing into the black box: Using eye tracking in user-driven workflows to better understand decision-making processes.. United States: N. p., 2018. Web.
Divis, Kristin Marie, Chen, Maximillian Gene, McNamara, Laura A., & Morrow, James D. Seeing into the black box: Using eye tracking in user-driven workflows to better understand decision-making processes.. United States.
Divis, Kristin Marie, Chen, Maximillian Gene, McNamara, Laura A., and Morrow, James D. Thu . "Seeing into the black box: Using eye tracking in user-driven workflows to better understand decision-making processes.". United States. https://www.osti.gov/servlets/purl/1500204.
@article{osti_1500204,
title = {Seeing into the black box: Using eye tracking in user-driven workflows to better understand decision-making processes.},
author = {Divis, Kristin Marie and Chen, Maximillian Gene and McNamara, Laura A. and Morrow, James D.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {3}
}

Conference:
Other availability
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