Building a Sport Eyewear Human Comfort Rating Scale

Xueqi Yu

doi:doi:10.11648/j.si.20170505.22

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Building a Sport Eyewear Human Comfort Rating Scale

Xueqi Yu

Published in Science Innovation (Volume 5, Issue 5)

Received: 7 August 2017 Published: 16 August 2017

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Abstract

Sport eyewear can prevent athletes from ophthalmic injuries while having sports. But lack of comfort causes it losing a large number of users. According to the results of the interview and combined with previous researches, we found the reason why sports eyewear is not comfortable is because there’s contradiction among factors which can influence its comfort. So which factor carries a bigger weight matters. The aim of this study is to find out the weight of different factors to influence the comfort by establishing a standardized multiple liner regression model, and then propose suggestions to promote the sports eyewear’ s comfort by the model. The participants are called to play basketball while wearing sport eyewear, and evaluate seven comfort factors and comprehensive comfort in the locus causal dimension (1-7, 1 = the most uncomfortable. 7 = the most comfortable) separately when doing sport 20 min and 40 min. The seven factors are pressure on eyepit, vision limit, pressure on back of head, slip, fog, pressure on bridge of nose and pressure on temple. The participants are 30 college students who have good sight without shortsightedness, have head average size ,and have no experience in using eyewear. The eyewear used in the experiment is a commonly used sport eyewear which can be used while playing football, basketball, tennis, badminton, etc. The paired sample t-test was conducted to compare the comfort between short time and long time. Pressure on eyepit’ s comfort increases after long-time wearing. Vision limit and pressure on back of head’s comfort don’t have significant difference between short and long time. The rest of the factors’ comfort decreases after long-time wearing. Through stepwise multiple linear regression, the linear regression equations between short-time/long-time comfort index and comfort factors are given. Short-time comfort index C₁ = 0.596X₁ + 0.416X₂ + 0.350X₃ + 0.239X₄ + 0.223X₅. From X₁ to X₅ is pressure on bridge of nose, slip, fog, pressure on eyepit and vision limit. Long-time comfort index C₂ = 0.460X₁ + 0.360X₂ + 0.350X₃ + 0.341X₄ + 0.277X₅. From X₁ to X₅ is fog, vision limit, slip, pressure on bridge of nose and pressure on temple.

Published in	Science Innovation (Volume 5, Issue 5)
DOI	10.11648/j.si.20170505.22
Page(s)	307-312
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Sports Eyewear, Human Comfort Rating Scale, Ergonomic, Wearable Device

References

[1]	Stephen J Dain BSc PhD FCOptom FAAO FIESA (ANZ). Sports eyewear protective standards [J]. Clinical & Experimental Optometry, 2016, 99: 4-23.
[2]	Capao Filipe J A, Rocha S A R F, Castro C J. Modern sports eye injuries [J]. British Journal of Ophthalmology, 2003，87(11): 1336-1339.
[3]	刘瑜．圈椅椅圈对人体舒适性影响的研究[D]．南京林业大学，2011。
[4]	Schwirtz A. The Comfort Assessment of Wearable Computers [C]// IEEE International Symposium on Wearable Computers. IEEE, 2002, 65: 72.
[5]	胡小羽．基于我国人体头部尺寸驱动的眼镜规格研究[D]. 西南交通大学，2008。
[6]	Gallaway M, Aimino J, Scheiman M. The effect of protective sports eyewear on peripheral visual field and a peripheral visual performance task. [J]. Journal of the American Optometric Association, 1986, 57(57): 304-10.
[7]	Dawson M L, Zabik R M. Effect of protective eyewear on reaction time in the horizontal field of vision [J]. Perceptual & Motor Skills, 1988, 67(1): 115-20.
[8]	林佑安，陈建雄．运动眼镜尺寸与动静态使用之评估[J]．工业设计，2015,131。
[9]	蔡耀伟．安全护目眼镜设计之人因规范研究[D]．国立台北科技大学．2003。
[10]	游志云，叶文裕，杨怡学，张碧慧．劳工头型模式之研究[J]．劳工安全卫生研究季刊，1996，4:31-46。
[11]	Youn J, Sallis R E, Smith G, et al. Ocular injury rates in college sports [J]. Medicine & Science in Sports & Exercise, 2008, 40(3):428.
[12]	李清正．配镜者选配之眼镜与其脸型尺寸之相关研究[D]．国立台湾科技大学，2005。

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Xueqi Yu. (2017). Building a Sport Eyewear Human Comfort Rating Scale. Science Innovation, 5(5), 307-312. https://doi.org/10.11648/j.si.20170505.22

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ACS Style

Xueqi Yu. Building a Sport Eyewear Human Comfort Rating Scale. Sci. Innov. 2017, 5(5), 307-312. doi: 10.11648/j.si.20170505.22

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Xueqi Yu. Building a Sport Eyewear Human Comfort Rating Scale. Sci Innov. 2017;5(5):307-312. doi: 10.11648/j.si.20170505.22

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@article{10.11648/j.si.20170505.22,
  author = {Xueqi Yu},
  title = {Building a Sport Eyewear Human Comfort Rating Scale},
  journal = {Science Innovation},
  volume = {5},
  number = {5},
  pages = {307-312},
  doi = {10.11648/j.si.20170505.22},
  url = {https://doi.org/10.11648/j.si.20170505.22},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20170505.22},
  abstract = {Sport eyewear can prevent athletes from ophthalmic injuries while having sports. But lack of comfort causes it losing a large number of users. According to the results of the interview and combined with previous researches, we found the reason why sports eyewear is not comfortable is because there’s contradiction among factors which can influence its comfort. So which factor carries a bigger weight matters. The aim of this study is to find out the weight of different factors to influence the comfort by establishing a standardized multiple liner regression model, and then propose suggestions to promote the sports eyewear’ s comfort by the model. The participants are called to play basketball while wearing sport eyewear, and evaluate seven comfort factors and comprehensive comfort in the locus causal dimension (1-7, 1 = the most uncomfortable. 7 = the most comfortable) separately when doing sport 20 min and 40 min. The seven factors are pressure on eyepit, vision limit, pressure on back of head, slip, fog, pressure on bridge of nose and pressure on temple. The participants are 30 college students who have good sight without shortsightedness, have head average size ,and have no experience in using eyewear. The eyewear used in the experiment is a commonly used sport eyewear which can be used while playing football, basketball, tennis, badminton, etc. The paired sample t-test was conducted to compare the comfort between short time and long time. Pressure on eyepit’ s comfort increases after long-time wearing. Vision limit and pressure on back of head’s comfort don’t have significant difference between short and long time. The rest of the factors’ comfort decreases after long-time wearing. Through stepwise multiple linear regression, the linear regression equations between short-time/long-time comfort index and comfort factors are given. Short-time comfort index C1 = 0.596X1 + 0.416X2 + 0.350X3 + 0.239X4 + 0.223X5. From X1 to X5 is pressure on bridge of nose, slip, fog, pressure on eyepit and vision limit. Long-time comfort index C2 = 0.460X1 + 0.360X2 + 0.350X3 + 0.341X4 + 0.277X5. From X1 to X5 is fog, vision limit, slip, pressure on bridge of nose and pressure on temple.},
 year = {2017}
}

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TY - JOUR
T1 - Building a Sport Eyewear Human Comfort Rating Scale
AU - Xueqi Yu
Y1 - 2017/08/16
PY - 2017
N1 - https://doi.org/10.11648/j.si.20170505.22
DO - 10.11648/j.si.20170505.22
T2 - Science Innovation
JF - Science Innovation
JO - Science Innovation
SP - 307
EP - 312
PB - Science Publishing Group
SN - 2328-787X
UR - https://doi.org/10.11648/j.si.20170505.22
AB - Sport eyewear can prevent athletes from ophthalmic injuries while having sports. But lack of comfort causes it losing a large number of users. According to the results of the interview and combined with previous researches, we found the reason why sports eyewear is not comfortable is because there’s contradiction among factors which can influence its comfort. So which factor carries a bigger weight matters. The aim of this study is to find out the weight of different factors to influence the comfort by establishing a standardized multiple liner regression model, and then propose suggestions to promote the sports eyewear’ s comfort by the model. The participants are called to play basketball while wearing sport eyewear, and evaluate seven comfort factors and comprehensive comfort in the locus causal dimension (1-7, 1 = the most uncomfortable. 7 = the most comfortable) separately when doing sport 20 min and 40 min. The seven factors are pressure on eyepit, vision limit, pressure on back of head, slip, fog, pressure on bridge of nose and pressure on temple. The participants are 30 college students who have good sight without shortsightedness, have head average size ,and have no experience in using eyewear. The eyewear used in the experiment is a commonly used sport eyewear which can be used while playing football, basketball, tennis, badminton, etc. The paired sample t-test was conducted to compare the comfort between short time and long time. Pressure on eyepit’ s comfort increases after long-time wearing. Vision limit and pressure on back of head’s comfort don’t have significant difference between short and long time. The rest of the factors’ comfort decreases after long-time wearing. Through stepwise multiple linear regression, the linear regression equations between short-time/long-time comfort index and comfort factors are given. Short-time comfort index C1 = 0.596X1 + 0.416X2 + 0.350X3 + 0.239X4 + 0.223X5. From X1 to X5 is pressure on bridge of nose, slip, fog, pressure on eyepit and vision limit. Long-time comfort index C2 = 0.460X1 + 0.360X2 + 0.350X3 + 0.341X4 + 0.277X5. From X1 to X5 is fog, vision limit, slip, pressure on bridge of nose and pressure on temple.
VL - 5
IS - 5
ER -

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Author Information

Xueqi Yu

The School of Psychology and Cognitive Science, East China Normal University, Shanghai, China

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Xueqi Yu. (2017). Building a Sport Eyewear Human Comfort Rating Scale. Science Innovation, 5(5), 307-312. https://doi.org/10.11648/j.si.20170505.22

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ACS Style

Xueqi Yu. Building a Sport Eyewear Human Comfort Rating Scale. Sci. Innov. 2017, 5(5), 307-312. doi: 10.11648/j.si.20170505.22

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AMA Style

Xueqi Yu. Building a Sport Eyewear Human Comfort Rating Scale. Sci Innov. 2017;5(5):307-312. doi: 10.11648/j.si.20170505.22

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@article{10.11648/j.si.20170505.22,
  author = {Xueqi Yu},
  title = {Building a Sport Eyewear Human Comfort Rating Scale},
  journal = {Science Innovation},
  volume = {5},
  number = {5},
  pages = {307-312},
  doi = {10.11648/j.si.20170505.22},
  url = {https://doi.org/10.11648/j.si.20170505.22},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20170505.22},
  abstract = {Sport eyewear can prevent athletes from ophthalmic injuries while having sports. But lack of comfort causes it losing a large number of users. According to the results of the interview and combined with previous researches, we found the reason why sports eyewear is not comfortable is because there’s contradiction among factors which can influence its comfort. So which factor carries a bigger weight matters. The aim of this study is to find out the weight of different factors to influence the comfort by establishing a standardized multiple liner regression model, and then propose suggestions to promote the sports eyewear’ s comfort by the model. The participants are called to play basketball while wearing sport eyewear, and evaluate seven comfort factors and comprehensive comfort in the locus causal dimension (1-7, 1 = the most uncomfortable. 7 = the most comfortable) separately when doing sport 20 min and 40 min. The seven factors are pressure on eyepit, vision limit, pressure on back of head, slip, fog, pressure on bridge of nose and pressure on temple. The participants are 30 college students who have good sight without shortsightedness, have head average size ,and have no experience in using eyewear. The eyewear used in the experiment is a commonly used sport eyewear which can be used while playing football, basketball, tennis, badminton, etc. The paired sample t-test was conducted to compare the comfort between short time and long time. Pressure on eyepit’ s comfort increases after long-time wearing. Vision limit and pressure on back of head’s comfort don’t have significant difference between short and long time. The rest of the factors’ comfort decreases after long-time wearing. Through stepwise multiple linear regression, the linear regression equations between short-time/long-time comfort index and comfort factors are given. Short-time comfort index C1 = 0.596X1 + 0.416X2 + 0.350X3 + 0.239X4 + 0.223X5. From X1 to X5 is pressure on bridge of nose, slip, fog, pressure on eyepit and vision limit. Long-time comfort index C2 = 0.460X1 + 0.360X2 + 0.350X3 + 0.341X4 + 0.277X5. From X1 to X5 is fog, vision limit, slip, pressure on bridge of nose and pressure on temple.},
 year = {2017}
}

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