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Study on Contrast Sensitivity of Different Age Groups

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HCI International 2019 - Posters (HCII 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1032))

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Abstract

In this experiment, the digital Mars contrast sensitivity check tables are used to test the contrast sensitivity value between two genders and three age groups. There was no statistically significant difference in contrast sensitivity between genders (P > 0.05) and between different eyes (P > 0.05). The contrast sensitivity of individuals of different groups was significantly different. The contrast sensitivity values of the left eye, right eye and both eyes increase with the increase of visual acuity.

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Acknowledgment

This research is supported by “Presidents Fund Project” (522017Y-5277), National Key R&D Program of China (2016YFF0201701), National Science and Technology Basic Research (2013FY110200).

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Authors and Affiliations

  1. SAMR Key Laboratory of Human Factors and Ergonomics (CNIS), China National Institute of Standardization, No. 4 Zhi Chun Road, Haidian District, Beijing, China

    Linghua Ran, Chaoyi Zhao, Xin Zhang, Ling Luo, Hong Luo, Huimin Hu & Wu Haimei

  2. Beijing Huiyunyiting Technical Company, Beijing, China

    Xin Wu

Authors
  1. Linghua Ran
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  2. Chaoyi Zhao
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  3. Xin Zhang
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  4. Xin Wu
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  5. Ling Luo
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  6. Hong Luo
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  7. Huimin Hu
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  8. Wu Haimei
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Corresponding author

Correspondence to Linghua Ran .

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Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

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Ran, L. et al. (2019). Study on Contrast Sensitivity of Different Age Groups. In: Stephanidis, C. (eds) HCI International 2019 - Posters. HCII 2019. Communications in Computer and Information Science, vol 1032. Springer, Cham. https://doi.org/10.1007/978-3-030-23522-2_39

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  • DOI: https://doi.org/10.1007/978-3-030-23522-2_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23521-5

  • Online ISBN: 978-3-030-23522-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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