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Title: Challenges in Eye Tracking for Dynamic User-Driven Workflows.

Abstract

This three-year Laboratory Directed Research and Development (LDRD) project aimed at developing a developed prototype data collection system and analysis techniques to enable the measurement and analysis of user-driven dynamic workflows. Over 3 years, our team developed software, algorithms, and analysis technique to explore the feasibility of capturing and automatically associating eye tracking data with geospatial content, in a user-directed, dynamic visual search task. Although this was a small LDRD, we demonstrated the feasibility of automatically capturing, associating, and expressing gaze events in terms of geospatial image coordinates, even as the human "analyst" is given complete freedom to manipulate the stimulus image during a visual search task. This report describes the problem under examination, our approach, the techniques and software we developed, key achievements, ideas that did not work as we had hoped, and unsolved problems we hope to tackle in future projects.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1481948
Report Number(s):
SAND2018-12671
669753
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

McNamara, Laura A., Divis, Kristin Marie, Morrow, James D., Chen, Maximillian Gene, and Perkins, David. Challenges in Eye Tracking for Dynamic User-Driven Workflows.. United States: N. p., 2018. Web. doi:10.2172/1481948.
McNamara, Laura A., Divis, Kristin Marie, Morrow, James D., Chen, Maximillian Gene, & Perkins, David. Challenges in Eye Tracking for Dynamic User-Driven Workflows.. United States. doi:10.2172/1481948.
McNamara, Laura A., Divis, Kristin Marie, Morrow, James D., Chen, Maximillian Gene, and Perkins, David. Thu . "Challenges in Eye Tracking for Dynamic User-Driven Workflows.". United States. doi:10.2172/1481948. https://www.osti.gov/servlets/purl/1481948.
@article{osti_1481948,
title = {Challenges in Eye Tracking for Dynamic User-Driven Workflows.},
author = {McNamara, Laura A. and Divis, Kristin Marie and Morrow, James D. and Chen, Maximillian Gene and Perkins, David},
abstractNote = {This three-year Laboratory Directed Research and Development (LDRD) project aimed at developing a developed prototype data collection system and analysis techniques to enable the measurement and analysis of user-driven dynamic workflows. Over 3 years, our team developed software, algorithms, and analysis technique to explore the feasibility of capturing and automatically associating eye tracking data with geospatial content, in a user-directed, dynamic visual search task. Although this was a small LDRD, we demonstrated the feasibility of automatically capturing, associating, and expressing gaze events in terms of geospatial image coordinates, even as the human "analyst" is given complete freedom to manipulate the stimulus image during a visual search task. This report describes the problem under examination, our approach, the techniques and software we developed, key achievements, ideas that did not work as we had hoped, and unsolved problems we hope to tackle in future projects.},
doi = {10.2172/1481948},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}