Skip to main content

Improving Smartphone Reading Experience for Middle-Aged and Elderly Users: The Effect of Font Size, Line Spacing and Stroke Weight

  • Conference paper
  • First Online:
Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13313))

Included in the following conference series:

Abstract

Aging and digitization are two major trends in modern society, resulting in a rapid increase in the number of middle-aged and elderly smartphone users. Research into these user’s mobile reading experience has significant value in industry application, as well as social value. Based on the subjective experience evaluation and eye movement data of 60 Chinese adults aged 50–70 years, we investigated the impact of different font sizes, line spacing, and stroke weight on the smartphone reading experience of Chinese characters in three typical scenarios: searching, overview reading, and long-text reading. Results show that font size has a significant impact on reading experience in all scenarios. Line spacing and stroke weight have different impacts in different reading scenarios. Line spacing has a significant effect on long-text reading (such as the news details page), while stroke weight has a significant impact on search scenarios (such as news headlines). Bold type fonts can highlight key information on a page with multiple levels of information. This study also identifies the optimal font size, line spacing and stroke weight for different scenarios and different levels of information. This is the first study that provides smartphone application developers with design specifications for optimal font size, line spacing and stroke weight in different scenarios for middle-aged and elderly Chinese users. These findings can be utilized to improve the reading experience of Chinese news apps in a comprehensive manner.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    PPI of the test equipment in this study was 422 px/in.

References

  1. Cheng, H.Y.: Effects of font size and spacing on Chinese reading the newspaper material in urban low-age senior citizens. Tianjin Normal University, Tianjin, China (2015)

    Google Scholar 

  2. China Internet Network Information Center: The 37th China statistical report on internet development. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/201601/P020160122469130059846.pdf. Accessed 31 Jan 2022

  3. China Internet Network Information Center: The 47th China statistical report on internet development. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202102/P020210203334633480104.pdf. Accessed 31 Jan 2022

  4. Darroch, I., Goodman, J., Brewster, S., Gray, P.: The effect of age and font size on reading text on handheld computers. In: Costabile, M.F., Paternò, F. (eds.) INTERACT 2005. LNCS, vol. 3585, pp. 253–266. Springer, Heidelberg (2005). https://doi.org/10.1007/11555261_23

    Chapter  Google Scholar 

  5. Fang, H., Chen, Y.C., Zhao, Y., Li, X.H., Wei, Q.: The influencing mechanism of information design elements of mobile news platform on visual search efficiency. Libr. Inf. Serv. 63(22), 58–67 (2019)

    Google Scholar 

  6. Guo, X., Tian, J.J., Hu, Z.G., Li, Q.: Impact of illumination on visual fatigue and brain arousal during written variable reading times. Packag. Eng. 39(04), 164–169 (2018)

    Google Scholar 

  7. Hou, G.H., Dong, H., Ning, W.N., Han, L.H.: Larger Chinese text spacing and size: effects on older users’ experience. Ageing Soc. 40(2), 389–411 (2020)

    Article  Google Scholar 

  8. Hou, G.H., Ning, W.N., Dong, H.: Research on older user’s experience in digital reading from a cognitive load perspective. China J. Inf. Syst. 20(1), 15–26 (2018)

    Google Scholar 

  9. Hsiao, C.Y., Wang, M.J., Liu, Y.J., Chang, C.C.: Effects of Chinese character size, number of characters per line, and number of menu items on visual search task on tablet computer displays for different age groups. Int. J. Industr. Ergon. 72(7), 61–70 (2019)

    Google Scholar 

  10. Huang, D.L., Rau, P.L.P., Liu, Y.: Effects of font size, display resolution and task type on reading Chinese fonts from mobile devices. Int. J. Ind. Ergon. 39(1), 81–89 (2008)

    Article  Google Scholar 

  11. Huang, S.M., Li, W.J.: Format effects of Traditional Chinese character size and font style on reading performance when using smartphones. In: 2017 International Conference on Applied System Innovation (ICASI), pp. 1239–1242. IEEE, NewJersey, USA (2017)

    Google Scholar 

  12. Huang, S.M.: Effects of font size and font style of Traditional Chinese characters on readability on smartphones. Int. J. Industr. Ergon. 69(1), 66–72 (2019)

    Article  Google Scholar 

  13. Li, M., Zhong, N., Lv, S.F.: Exploring visual search and browsing strategies on web pages using the eye-tracking. J. Beijing Univ. Technol. 37(05), 773–779 (2011)

    Google Scholar 

  14. Li, L., et al.: Establishing a role for the visual complexity of linguistic stimuli in age-related reading difficulty: evidence from eye movements during Chinese reading. Atten. Percept. Psychophys. 81(8), 2626–2634 (2019). https://doi.org/10.3758/s13414-019-01836-y

    Article  Google Scholar 

  15. Liu, N., Yu, R., Zhang, Y.: Effects of font size, stroke width, and character complexity on the legibility of Chinese characters. Hum. Factors Ergon. Manuf. Serv. Industr. 26(3), 381–392 (2016)

    Article  Google Scholar 

  16. Liu, W., Zhao, Y.F., Li, J.Z.: User visual behavior on different layouts of photo sharing website using the eye-tracking. J. Beijing Univ. Posts Telecommun. (Soc. Sci. Ed.) 16(1), 18–24 (2014)

    Google Scholar 

  17. Liu, Z., Tong, W., Su, Y.: Interaction effects of aging, word frequency, and predictability on saccade length in Chinese reading. PeerJ 8(4), 8860 (2020)

    Article  Google Scholar 

  18. Lu, J.H., Wang, X.Y.: Research on the vision health status of Chinese elderly people and its social, economic and healthy determinants: based on the Chinese longitudinal healthy longevity survey data 2014. Popul. Dev. 24(04), 66–76 (2018)

    Google Scholar 

  19. Rello, L., Pielot, M., Marcos, M.C.: Make it big! The effect of font size and line spacing on online readability. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing System, pp. 3637–3648. Association for Computing Machinery, New York (2016)

    Google Scholar 

  20. National Bureau of Statistics of China: Annual Data (Population data from sample survey). //data.stats.gov.cn/easyquery.htm?cn=C01. Accessed 31 Jan 2022

    Google Scholar 

  21. United Nations: World population prospects 2019. https://population.un.org/wpp/. Accessed 31 Jan 2022

  22. Wang, H.F.: Influence of highlighting, columns, and font size on visual search performance with respect to on-screen Chinese characters. Percept. Mot. Skills 117(2), 528–541 (2013)

    Article  Google Scholar 

  23. Wang, J., et al.: Adult age differences in eye movements during reading: the evidence from Chinese. J. Gerontol. B Psychol. Sci. Soc. Sci. 73(4), 584–593 (2016)

    Google Scholar 

  24. Wang, L., Sato, H., Rau, P.L.P., Fujimura, K., Gao, Q., Asano, Y.: Chinese text spacing on mobile phones for senior citizens. Educ. Gerontol. 35(1), 77–90 (2008)

    Article  Google Scholar 

  25. Wu, H.C.: Electronic paper display preferred viewing distance and character size for different age groups. Taylor Francis 54(9), 806–814 (2011)

    Google Scholar 

  26. Yan, G.L., Xiong, J.P., Zang, C.L., Yu, L.L., Cui, L., Bai, X.J.: Review of eye-movement measures in reading research. Adv. Psychol. Sci. 21(4), 589 (2013)

    Article  Google Scholar 

  27. Yuan, H.: Research on consumer’s information-seeking behavior in social media. Wuhan University, Wuhan, China (2013)

    Google Scholar 

  28. Zhang, L.N., Zhang, X.M., Chen, X.Y.: The legibility research of Chinese font and font structure. Chin. J. Ergon. 20(03), 32–36 (2014)

    Google Scholar 

Download references

Acknowledgements

We would like to thank all subjects for their participation in this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yongsheng Lu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lu, Y., Li, H., Chen, N., Shi, Y. (2022). Improving Smartphone Reading Experience for Middle-Aged and Elderly Users: The Effect of Font Size, Line Spacing and Stroke Weight. In: Rau, PL.P. (eds) Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness. HCII 2022. Lecture Notes in Computer Science, vol 13313. Springer, Cham. https://doi.org/10.1007/978-3-031-06050-2_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-06050-2_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06049-6

  • Online ISBN: 978-3-031-06050-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics