Abstract
One of the major consequences of the digital revolution has been the increase in the use of electronic devices in health services. Despite their remarkable advantages, though, the use of computers and other visual display terminals for a prolonged time may have negative effects on vision, leading to a greater risk of Computer Vision Syndrome (CVS) among their users. In this study, the importance of ocular and visual symptoms related to CVS was evaluated, and the factors associated with CVS were studied, with the help of an algorithm based on regression trees and genetic algorithms. The performance of this proposed model was also tested to check its ability to predict how prone a worker is to suffering from CVS. The findings of the present research confirm a high prevalence of CVS in healthcare workers, and associate CVS with a longer duration of occupation and higher daily computer usage.
Highlights
Research in the field of human–computer interaction usually observes the ways in which humans interact with computers, but the interaction of the computer with the human lies within this field as well, introducing another perspective that increasingly needs attention
This study proposes a new algorithm that makes use of regression trees and genetic algorithm (GA) to assess the impact of the different variables on Computer Vision Syndrome (CVS)
The results of this study show that the total number of hours spent with a computer and occupational seniority are relevant variables in predicting the risk of CVS
Summary
Research in the field of human–computer interaction usually observes the ways in which humans interact with computers, but the interaction of the computer with the human lies within this field as well, introducing another perspective that increasingly needs attention. The introduction of information and communication technologies (ICT), as well as the use of devices like computers, smartphones, and laptops with visual display terminals (VDT), has brought new forms of work, management, and organization into the professional world, implying great transformations and changes in business organization. The most frequent users are managers, professionals, and technicians. It has Sensors 2019, 19, 2800; doi:10.3390/s19122800 www.mdpi.com/journal/sensors. Sensors 2019, 19, 2800 been pointed out that the number of workers using ICT devices at least one-quarter of the time at work has risen from 36% in 2005 to 57% in 2015 [1]. Together with the positive changes, human–computer interaction poses several risks for the health of workers. VDT are practically indispensable nowadays in the computer–human interface, but this essential element may be responsible for diverse ocular and visual disorders
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