Optimization of operating parameters of video display units in text reading task: Luminance contrast, viewing distance, and character size

2007 ◽  
Vol 15 (9) ◽  
pp. 749
Author(s):  
Zulquernain Mallick ◽  
Irfan Anjum Badruddin
Keyword(s):  
Luminance Contrast ◽  
Operating Parameters ◽  
Viewing Distance ◽  
Video Display ◽  
Reading Task ◽  
Character Size ◽  
Text Reading ◽  
Video Display Units

Evaluation and Comparison of Artificial Intelligence Vision Aids: Orcam MyEye 1 and Seeing AI

2021 ◽  
pp. 0145482X2110274
Author(s):  
Christina Granquist ◽  
Susan Y. Sun ◽  
Sandra R. Montezuma ◽  
Tu M. Tran ◽  
Rachel Gage ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Human Performance ◽  
Visual Impairments ◽  
Light Level ◽  
Viewing Distance ◽  
Light Perception ◽  
Time To Completion ◽  
Significant Difference ◽  
Text Reading ◽  
Size Contrast

Introduction: We compared the print-to-speech properties and human performance characteristics of two artificial intelligence vision aids, Orcam MyEye 1 (a portable device) and Seeing AI (an iPhone and iPad application). Methods: There were seven participants with visual impairments who had no experience with the two reading aids. Four participants had no light perception. Two individuals with measurable acuity and one with light perception were tested while blindfolded. We also tested performance with text of varying appearance in varying viewing conditions. To evaluate human performance, we asked the participants to use the devices to attempt 12 reading tasks similar to activities of daily living. We assessed the ranges of text attributes for which reading was possible, such as print size, contrast, and light level. We also assessed if individuals could complete tasks with the devices and measured accuracy and completion time. Participants also completed a survey concerning the two aids. Results: Both aids achieved greater than 95% accuracy in text recognition for flat, plain word documents and ranged from 13 to 57% accuracy for formatted text on curved surfaces. Both aids could read print sizes as small as 0.8M (20/40 Snellen equivalent, 40 cm viewing distance). Individuals successfully completed 71% and 55% ( p = .114) of tasks while using Orcam MyEye 1 and Seeing AI, respectively. There was no significant difference in time to completion of tasks ( p = .775). Individuals believed both aids would be helpful for daily activities. Discussion: Orcam MyEye 1 and Seeing AI had similar text-reading capability and usability. Both aids were useful to users with severe visual impairments in performing reading tasks. Implications for Practitioners: Selection of a reading device or aid should be based on individual preferences and prior familiarity with the platform, since we found no clear superiority of one solution over the other.

Evaluation of human factors in the modification of video display units in the main control room

2010 ◽  
pp. 357-362
Author(s):  
Chih-Wei Yang ◽  
Tzu-Chung Yenn ◽  
Tsung-Chieh Cheng ◽  
Ming-Huei Chen ◽  
Tung-Ming Wu ◽  
...  
Keyword(s):  
Human Factors ◽  
Video Display ◽  
Control Room ◽  
Video Display Units

Legibility of video display units during off-angle viewing

1988 ◽  
Vol 7 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Stephen J. Morrissey ◽  
Rose W. Chu
Keyword(s):  
Video Display ◽  
Video Display Units

The Sensitivity of Response Measures of Alphanumeric Legibility to Variations in Dot Matrix Display Parameters

1979 ◽  
Vol 21 (4) ◽  
pp. 457-471 ◽  
Author(s):  
HARRY L. SNYDER
Keyword(s):  
Correct Response ◽  
Recognition Accuracy ◽  
Variable Parameter ◽  
Viewing Distance ◽  
Response Measure ◽  
Percent Correct Response ◽  
Percent Correct ◽  
Character Size ◽  
Response Measures ◽  
Tachistoscopic Recognition

This research evaluated the sensitivity of four observer response measures to variations in the character size and dot luminance of a dot matrix display. Specifically, the research determined the sensitivity of recognition accuracy, response time, tachistoscopic recognition accuracy, and threshold visibility. Alphanumeric characters were presented to six subjects in noncontextual form on a variable-parameter CRT display programmed and driven by a minicomputer. Recognition accuracy (percent correct response) was found to be the response measure that is most sensitive to the display parameters of character size and dot luminance. Character size, dot luminance, and viewing distance proved to have consistent and significant effects at viewing distances greater than 1.52 m. At lesser viewing distances, these parameters had little effect. The results suggest that there is no major difference between the display requirements for computer-generated dot matrix displays versus those for conventional CRT displays.

scholarly journals Magnitude and Determinants of Computer Vision Syndrome (CVS) among IT Workers in Kathmandu, Nepal

2020 ◽  
Vol 12 (2) ◽  
pp. 245-251
Author(s):  
Sudip Poudel ◽  
Shankar Prasad Khanal
Keyword(s):  
Computer Vision ◽  
Cross Sectional Study ◽  
Computer Work ◽  
Computer Usage ◽  
Viewing Distance ◽  
Office Work ◽  
Video Display ◽  
Cross Sectional ◽  
Computer Vision Syndrome ◽  
It Workers

Introduction: Computer Vision Syndrome (CVS) is developed among computer workers due to long time working with computers or viewing of the video display terminal (VDT). The objective of this study is to determine the magnitude and determinants of CVS symptoms among IT officers. Materials and methods: A cross sectional study of IT office workers was conducted at Kathmandu from March to April 2019. Self-administrated questionnaire and observation of researcher was applied to collect information. CVS defect was considered if the participants were having minimum of one symptom during /following use of VDT. The proportion of CVS and its association with different independent factors was carried out. Results: The prevalence of CVS reported by 263 participants was 82.5% (95% CI: 81.3% - 83.6%), of them 163(62.0%) were not aware about bad effects of computers to the visual apparatus. Goggles were used as protection against CVS by 140(53.2%) participants. CVS symptoms included headache 127(48.0%), tired eyes 123(47.0%) and eye strain 114(43.0%). Use of computer for more than 4.75 hours/day experienced CVS. The mean office work included 7.7 ± 2.02 hours computer work. The video display gadgets usage in home was 2.7 ± 2.35 hours/ day. Not taking breaks (OR:7.3; 95% CI:2.2 - 24.9), not massaging eyes (OR:7.5; 95% CI:1.2 - 47.7), unusual viewing distance (OR:9.0; 95% CI:2.0 - 44.5), improper posture (OR:3.6; 95% CI:1.3 - 10.3), computer usage for more than 10 hours/ day (OR:5.4; 95% CI:1.6 - 18.2) and not aware of CVS (OR:7.2; 95% CI:2.6 - 20.3) were significant predictors of CVS in IT workers. Conclusion: Most of the IT workers had CVS. Health education and care of IT workers based on predictors found need to be strengthened in the study area.

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