Symptoms associated with reading from a smartphone in conditions of light and dark

Antona, Beatriz; Barrio, Ana; Gascó, Adriana; Pinar, Ana B.; González-Pérez, Mariano; Puell, Mc

doi:10.1016/j.apergo.2017.10.014

Cited by 55 publications

(55 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Examples of non-optimal conditions which could be experienced by mobile workers include working near windows or luminaires which are significantly brighter than the digital display, or the reverse: using a digital display in low light conditions where the display is significantly brighter than the surroundings. In a study comparing smartphone use in dark versus lit conditions, visual symptoms and eye discomfort was greater when reading from a smartphone in the dark [30]. Antona and coauthors comment that although smartphone devices may have an auto-brightness function which automatically adjusts the screen luminance to match the ambient lighting conditions, they have observed that the screen luminance is too great when using the smartphone in the dark [30].…”

Section: Lightingmentioning

confidence: 99%

“…In a study comparing smartphone use in dark versus lit conditions, visual symptoms and eye discomfort was greater when reading from a smartphone in the dark [30]. Antona and coauthors comment that although smartphone devices may have an auto-brightness function which automatically adjusts the screen luminance to match the ambient lighting conditions, they have observed that the screen luminance is too great when using the smartphone in the dark [30].…”

Section: Lightingmentioning

confidence: 99%

See 1 more Smart Citation

The pitfalls of the traditional office ergonomics model in the current mobile work environment: Is visual ergonomics health literacy the remedy?

Long

Richter

2019

WOR

View full text Add to dashboard Cite

Mobile technology has revolutionised how we work. It is now relatively easy to work anywhere and anytime, but this has placed the onus is on mobile (or flexible) workers to set up their own work environment for comfort and ease of use. Vision is an important driver of posture, and hence visual ergonomics principles are integral for setting up digital devices. If mobile workers do not have visual ergonomics knowledge, or are unable to apply visual ergonomics knowledge to appropriately set up their work environment, then they are at risk of developing visual-related occupational health issues due to exposure to adverse physical work environments. To address this potential health care issue, we propose the introduction of Visual Ergonomics Health Literacy. This would provide mobile workers (including school children) with the knowledge and skills to set up their work environment for comfort and ease of use, wherever they work. It is important to address this issue now before we have a widespread epidemic of discomfort and injury from not applying sound visual ergonomics principles to work environments.

show abstract

Section: Lightingmentioning

confidence: 99%

Section: Lightingmentioning

confidence: 99%

The pitfalls of the traditional office ergonomics model in the current mobile work environment: Is visual ergonomics health literacy the remedy?

Long

Richter

2019

WOR

View full text Add to dashboard Cite

show abstract

“…These symptoms are related to screen size, small writing, the use of smartphones in dark places, and the tendency to focus when looking at the smartphone screen, which affects the visual organ's workload. 13 Eye fatigue symptoms are closely related to the blue light emitted by the light-emitting diode (LED) ORIGINAL RESEARCH ARTICLE (LED) on the smartphone screen. Even though it looks like white light, the light emitted by a lightemitting diode (LED) has a 400 -490 nm wavelength, which falls into the blue light category.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Using Blue Light Filter Feature on Smartphones with Asthenopia Occurrence

Wiryawan

Maharani

Kesoema

et al. 2021

Diponegoro. Int. Med. J.

View full text Add to dashboard Cite

Background: Smartphone users can be found in almost every class society in Indonesia. Excessive use of smartphones and the blue light emitted by smartphones play an important role in causing asthenopia symptoms. Smartphone development companies have developed a blue light filter feature, which is expected to reduce the incidence of Asthenopia symptoms.Objective: To evaluate the Asthenopia questionnaire's comparison results before and after smartphone use with various levels of opacity in the blue light filter.Methods: This study used a quasi-experimental pre-posttest study. The research subjects were students of the Faculty of Medicine, Diponegoro University (n = 30), selected by purposive sampling. In this study, research subjects saw an hour-long smartphone with a predetermined opacity level for the blue light filter, with the same room lighting. Before and after the treatment, the subjects were asked to fill out the Asthenopia questionnaire. Data were analyzed using the Wilcoxon test, Mann Whitney U test, and Kruskal Wallis test.Results: The results of the Asthenopia questionnaire before and after using a smartphone with a blue light filter opacity level of 0% and 100% showed a significant difference in results (p <0.05), and there was no significant difference for the pre-posttest using a smartphone with a blue light filter with 50% opacity level. The comparison results of the Asthenopia questionnaire between smartphone use with the opacity level of the blue light filter 0% and 50% only showed a significant difference in sore/aching eye symptoms. The comparison results of the Asthenopia questionnaire between smartphone use with the opacity level of the blue light filter 50% and 100% only showed a significant difference in sleepy eye symptoms. The comparison results of the Asthenopia questionnaire between smartphone use with the opacity level of the blue light filter 0%, 50%, and 100%, did not show a significant difference.Conclusion: There were no significant differences between the Asthenopia questionnaire results with 0%, 50%, and 100% opacity blue light filters after one hour of smartphone use.

show abstract

“…In previous research, eye fatigue was measured through a questionnaire [ 3 , 4 , 5 ]. However, since this questionnaire is based on the subjective thinking of the user, it is difficult to guarantee its reliability.…”

Section: Introductionmentioning

confidence: 99%

Experimental Verification of Objective Visual Fatigue Measurement Based on Accurate Pupil Detection of Infrared Eye Image and Multi-Feature Analysis

Kim

Lee

2020

Sensors

View full text Add to dashboard Cite

As the use of electronic displays increases rapidly, visual fatigue problems are also increasing. The subjective evaluation methods used for visual fatigue measurement have individual difference problems, while objective methods based on bio-signal measurement have problems regarding motion artifacts. Conventional eye image analysis-based visual fatigue measurement methods do not accurately characterize the complex changes in the appearance of the eye. To solve this problem, in this paper, an objective visual fatigue measurement method based on infrared eye image analysis is proposed. For accurate pupil detection, a convolutional neural network-based semantic segmentation method was used. Three features are calculated based on the pupil detection results: (1) pupil accommodation speed, (2) blink frequency, and (3) eye-closed duration. In order to verify the calculated features, differences in fatigue caused by changes in content color components such as gamma, color temperature, and brightness were compared with a reference video. The pupil detection accuracy was confirmed to be 96.63% based on the mean intersection over union. In addition, it was confirmed that all three features showed significant differences from the reference group; thus, it was verified that the proposed analysis method can be used for the objective measurement of visual fatigue.

show abstract

Symptoms associated with reading from a smartphone in conditions of light and dark

Cited by 55 publications

References 32 publications

The pitfalls of the traditional office ergonomics model in the current mobile work environment: Is visual ergonomics health literacy the remedy?

The pitfalls of the traditional office ergonomics model in the current mobile work environment: Is visual ergonomics health literacy the remedy?

The Effect of Using Blue Light Filter Feature on Smartphones with Asthenopia Occurrence

Experimental Verification of Objective Visual Fatigue Measurement Based on Accurate Pupil Detection of Infrared Eye Image and Multi-Feature Analysis

Contact Info

Product

Resources

About