A Tool for Assessing the Text Legibility of Digital Human Machine Interfaces
Abstract
A tool intended to aid qualified professionals in the assessment of the legibility of text presented on a digital display is described. The assessment of legibility is primarily for the purposes of designing and analyzing human machine interfaces in accordance with NUREG-0700 and MIL-STD 1472G. The tool addresses shortcomings of existing guidelines by providing more accurate metrics of text legibility with greater sensitivity to design alternatives.
- Authors:
- Publication Date:
- Research Org.:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE Office of Nuclear Energy (NE)
- OSTI Identifier:
- 1236833
- Report Number(s):
- INL/CON-15-35551
- DOE Contract Number:
- AC07-05ID14517
- Resource Type:
- Conference
- Resource Relation:
- Conference: International Symposium on Resilient Cognitive Systems (ResWeek 2015), Philadelphia, 8/18/2015 - 8/20/2015
- Country of Publication:
- United States
- Language:
- English
- Subject:
- human factors; human machine interface; text legibility
Citation Formats
Lew, Roger, Boring, Ronald L., and Ulrich, Thomas A. A Tool for Assessing the Text Legibility of Digital Human Machine Interfaces. United States: N. p., 2015.
Web.
Lew, Roger, Boring, Ronald L., & Ulrich, Thomas A. A Tool for Assessing the Text Legibility of Digital Human Machine Interfaces. United States.
Lew, Roger, Boring, Ronald L., and Ulrich, Thomas A. 2015.
"A Tool for Assessing the Text Legibility of Digital Human Machine Interfaces". United States. https://www.osti.gov/servlets/purl/1236833.
@article{osti_1236833,
title = {A Tool for Assessing the Text Legibility of Digital Human Machine Interfaces},
author = {Lew, Roger and Boring, Ronald L. and Ulrich, Thomas A.},
abstractNote = {A tool intended to aid qualified professionals in the assessment of the legibility of text presented on a digital display is described. The assessment of legibility is primarily for the purposes of designing and analyzing human machine interfaces in accordance with NUREG-0700 and MIL-STD 1472G. The tool addresses shortcomings of existing guidelines by providing more accurate metrics of text legibility with greater sensitivity to design alternatives.},
doi = {},
url = {https://www.osti.gov/biblio/1236833},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Aug 01 00:00:00 EDT 2015},
month = {Sat Aug 01 00:00:00 EDT 2015}
}
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