How to design font size for older adults: A systematic literature review with a mobile device
Open accessAbstract
With the global society aging, it is necessary to investigate suitable font size based on reading time/speed, readability and legibility for older adults. This study used a systematic review of previous and existing relevant research on font size for older adults and research on the psychophysics of reading and analyzed the outcomes based on reading time/speed, readability, legibility and the usability evaluation methods employed. Studies were selected from databases GOOGLE SCHOLAR, WEB OF SCIENCE, PUBMED, and SCIENCE DIRECT. An inclusion criterion was used to remove duplicates and avoid inconsistencies. Results suggest that older adults preferred larger font sizes. However, there exists a critical size at which readability declines. Inconsistencies in evaluation methods and experimental procedures were observed in the selected articles. This study suggested a reusable catalog of usability evaluation methods, eye tracking for user testing and a questionnaire for inquiry as suitable usability evaluation methods, a uniform metrics to measure font size (visual angle of font) in arcminutes and parameters to consider when investigating font size for older adults to ensure consistency in future studies.
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Dynamic adaptation is more aligned with the visual and cognitive needs of older users than conventional static optimization.
“This finding not only supports previous research showing that font readability affects interface friendliness for older adults (25–27), but also further suggests that dynamic adaptation is more aligned with the visual and cognitive needs of older users than conventional static optimization (28).”
From Designing age-friendly interfaces and wearable–environment integrations to enhance medication adherence: a discrete choice experiment among older adults (2026) · cites this paper as [27]
The Introduction (page unavailable) says that individual differences mean no single font-size recommendation is a permanent solution. The Discussion, under “Font size recommendation for older adults” (page unavailable), recommends flexible settings that let older adults select a suitable font size. These passages support adjustable design, but do not establish that dynamic adaptation better meets visual and cognitive needs than static optimization. (LLM, conf=0.83)
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Cites
Methley, A. M., Campbell, S., Chew-Graham, C., McNally, R., & Cheraghi-Sohi, S. (2014) · BMC Health Services Research · doi:10.1186/s12913-014-0579-0 · Cited by 2,706 · see citing works
Empirical Studies on Usability of mHealth Apps: A Systematic Literature Review
Zapata, B. C., Fernández-Alemán, J. L., Idri, A., & Toval, A. (2015) · Journal of Medical Systems · doi:10.1007/s10916-014-0182-2 · Cited by 585 · see citing works
Changes in Cognitive Function in Human Aging
Glisky, E. L. (2007) · CRC Press eBooks · doi:10.1201/9781420005523-1 · Cited by 522 · see citing works
Popping the (PICO) question in research and evidence-based practice
Stone, P. W. (2002) · Applied Nursing Research · doi:10.1053/apnr.2002.34181 · Cited by 485 · see citing works
Psychophysics of reading—II. Low vision
Legge, G. E., Rubin, G. S., Pelli, D. G., & Schleske, M. M. (1985) · Vision Research · doi:10.1016/0042-6989(85)90118-x · Cited by 441 · see citing works
The Handbook of Aging and Cognition
(2011) · Psychology Press eBooks · doi:10.4324/9780203837665 · Cited by 397 · see citing works
Unspaced text interferes with both word identification and eye movement control
Rayner, K., Fischer, M. H., & Pollatsek, A. (1998) · Vision Research · doi:10.1016/s0042-6989(97)00274-5 · Cited by 316 · see citing works
Chung, S. T. L., Mansfield, J. S., & Legge, G. E. (1998) · Vision Research · doi:10.1016/s0042-6989(98)00072-8 · Cited by 293 · see citing works
Does print size matter for reading? A review of findings from vision science and typography
Legge, G. E., & Bigelow, C. (2011) · Journal of Vision · doi:10.1167/11.5.8 · Cited by 272 · see citing works
Age-related differences in absolute but not relative metamemory accuracy.
Connor, L. T., Dunlosky, J. T., & Hertzog, C. K. (1997) · Psychology and Aging · doi:10.1037//0882-7974.12.1.50 · Cited by 245 · see citing works
Eye Tracking in Usability Evaluation
Goldberg, J. H., & Wichansky, A. M. (2003) · Elsevier eBooks · doi:10.1016/b978-044451020-4/50027-x · Cited by 240 · see citing works
Psychophysics of reading. XV: Font effects in normal and low vision.
Mansfield, J. S., Legge, G. E., & Bane, M. C. (1996) · PubMed · Cited by 204 · see citing works
Age-related differences in absolute but not relative metamemory accuracy.
Connor, L. T., Dunlosky, J. T., & Hertzog, C. K. (1997) · Psychology and Aging · doi:10.1037/0882-7974.12.1.50 · Cited by 175 · see citing works
Eye movements and the perceptual span in older and younger readers.
Rayner, K., Castelhano, M. S., & Yang, J. (2009) · Psychology and Aging · doi:10.1037/a0014300 · Cited by 174 · see citing works
Mueller, M. L., Dunlosky, J. T., Tauber, S. K., & Rhodes, M. G. (2013) · Journal of Memory and Language · doi:10.1016/j.jml.2013.09.007 · Cited by 173 · see citing works
The effects of font type and size on the legibility and reading time of online text by older adults
Bernard, M. L., Liao, C. H., & Mills, M. (2001) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/634067.634173 · Cited by 170 · see citing works
The Effect of Age and Font Size on Reading Text on Handheld Computers
Darroch, I., Goodman, J., Brewster, S. A., & Gray, P. (2005) · Lecture notes in computer science · doi:10.1007/11555261_23 · Cited by 158 · see citing works
Requirements engineering education: a systematic mapping study
Ouhbi, S., Idri, A., Fernández‐Alemán, J. L., & Toval, A. (2013) · Requirements Engineering · doi:10.1007/s00766-013-0192-5 · Cited by 150 · see citing works
Butler, K. M., Zacks, R. T., & Henderson, J. M. (1999) · Memory & Cognition · doi:10.3758/bf03211552 · Cited by 131 · see citing works
The Impact of Perceived Visual Complexity of Mobile Online Shops on User's Satisfaction
Sohn, S., Seegebarth, B., & Moritz, M. (2017) · Psychology and Marketing · doi:10.1002/mar.20983 · Cited by 123 · see citing works
Reading unspaced text: Implications for theories of reading eye movements
Epelboim, J., Booth, J. R., & Steinman, R. M. (1994) · Vision Research · doi:10.1016/0042-6989(94)90130-9 · Cited by 110 · see citing works
Metamemorial predictors of memory performance in young and older adults.
Cavanaugh, J. C., & Poon, L. W. (1989) · Psychology and Aging · doi:10.1037//0882-7974.4.3.365 · Cited by 103 · see citing works
Ziefle, M. (2010) · Applied Ergonomics · doi:10.1016/j.apergo.2010.03.001 · Cited by 96 · see citing works
Dunlosky, J. T., & Hertzog, C. K. (1997) · The Journals of Gerontology Series B · doi:10.1093/geronb/52b.4.p178 · Cited by 93 · see citing works
7 I Believe, Therefore I Can: Self-Efficacy Beliefs in Memory Aging
Cavanaugh, J. C., & Green, E. E. (1990) · Advances in psychology · doi:10.1016/s0166-4115(08)60788-8 · Cited by 88 · see citing works
Effects of font size, display resolution and task type on reading Chinese fonts from mobile devices
Huang, D.-L., Rau, P. P., & Liu, Y. (2008) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2008.09.004 · Cited by 86 · see citing works
Eye movements of young and older adults while reading with distraction.
Kemper, S. J., & McDowd, J. M. (2006) · Psychology and Aging · doi:10.1037/0882-7974.21.1.32 · Cited by 71 · see citing works
Lin, H. H., Wu, F., & Cheng, Y.-Y. (2012) · Displays · doi:10.1016/j.displa.2012.11.006 · Cited by 65 · see citing works
Behavioral and Physiological Metrics
Tullis, T., & Albert, B. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-415781-1.00007-8 · Cited by 51 · see citing works
Web Usability Guidelines For Smartphones: A Synergic Approach
Lobo, D. (2011) · International Journal of Information and Electronics Engineering · doi:10.7763/ijiee.2011.v1.5 · Cited by 46 · see citing works
Effects of Font Size, Stroke Width, and Character Complexity on the Legibility of Chinese Characters
Liu, N., Yu, R., & Zhang, Y. (2016) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.20663 · Cited by 44 · see citing works
Price, J., McElroy, K., & Martin, N. J. (2015) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2015.1102194 · Cited by 39 · see citing works
Hou, G., & Hu, Y. (2021) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211061938 · Cited by 37 · see citing works
Self-citationThe effect of foveal and parafoveal masks on the eye movements of older and younger readers.
Rayner, K., Yang, J., Schuett, S., & Slattery, T. J. (2014) · Psychology and Aging · doi:10.1037/a0036015 · Cited by 35 · see citing works
The current status of visual disability in the elderly population of Taiwan
Tsai, C., Woung, L., Chou, P., Yang, C., Sheu, M., Wu, J.-R., Chuang, T.-L., & Tung, T. (2005) · Japanese Journal of Ophthalmology · doi:10.1007/s10384-004-0164-x · Cited by 32 · see citing works
Chinese Text Spacing on Mobile Phones for Senior Citizens
Wang, L., Sato, H., Rau, P. P., Fujimura, K., Gao, Q., & Asano, Y. (2008) · Educational Gerontology · doi:10.1080/03601270802491122 · Cited by 31 · see citing works
Huang, H., Yang, M., Yang, C., & Lv, T. (2019) · Applied Ergonomics · doi:10.1016/j.apergo.2019.02.006 · Cited by 30 · see citing works
Effect of Font Size and Glare on Computer Tasks in Young and Older Adults
Ko, P., Mohapatra, A., Bailey, I. L., Sheedy, J. E., & Rempel, D. M. (2014) · Optometry and Vision Science · doi:10.1097/opx.0000000000000274 · Cited by 30 · see citing works
Kong, Y., Lee, I., Jung, M., et al. (2011) · Ergonomics · doi:10.1080/00140139.2011.568635 · Cited by 29 · see citing works
Chatrangsan, M., & Petrie, H. (2019) · International Web for All Conference (W4A) · doi:10.1145/3315002.3317568 · Cited by 29 · see citing works
Supporting Elderly Homecare with Smartwatches: Advantages and Drawbacks
Ehrler, F., & Lovis, C. (2014) · Studies in health technology and informatics · doi:10.3233/978-1-61499-432-9-667 · Cited by 28 · see citing works
Larger Chinese text spacing and size: effects on older users’ experience
Hou, G., Dong, H., Ning, W., & Han, L. (2018) · Ageing and Society · doi:10.1017/s0144686x18001022 · Cited by 28 · see citing works
Self-citationAlotaibi, A. Z. (2007) · Clinical and Experimental Optometry · doi:10.1111/j.1444-0938.2007.00123.x · Cited by 24 · see citing works
Aging effects on the visibility of graphic text on mobile phones
Hasegawa, S., Omori, M., Matsunuma, S., et al. (2006) · Gerontechnology · doi:10.4017/gt.2006.04.04.004.00 · Cited by 18 · see citing works
Readability of Character Size for Car Navigation Systems
Fujikake, K., Hasegawa, S., Omori, M., et al. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-73354-6_55 · Cited by 17 · see citing works
Impact of button position and touchscreen font size on healthcare device operation by older adults
Yeh, P.-C. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e04147 · Cited by 16 · see citing works
Mobile Instant Messaging for the Elderly
Kiat, B. W., & Chen, W.-Q. (2015) · International Conference on Software Development for Enhancing Accessibility and Fighting Info-exclusion · doi:10.1016/j.procs.2015.09.246 · Cited by 12 · see citing works
The effects of age and cognitive load on peripheral-detection performance
Savage, S. W., Spano, L. P., & Bowers, A. R. (2019) · Journal of Vision · doi:10.1167/19.1.15 · Cited by 10 · see citing works
Hasegawa, S., Omori, M., Watanabe, T., et al. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02559-4_43 · Cited by 7 · see citing works
Aging Effects on the Readability of Characters on E-Book Terminals
Lege, R. P., Hasegawa, S., Hasegawa, A., et al. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-39194-1_42 · Cited by 4 · see citing works
Hu, J., Siu, C., Chaparro, B. S., et al. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-408138-3.00010-8 · Cited by 4 · see citing works
Swearer, J. (2010) · Springer eBooks · doi:10.1007/978-0-387-79948-3_1411 · Cited by 4 · see citing works
Yeh, P.-C. (2015) · Perceptual and Motor Skills · doi:10.2466/24.pms.121c26x3 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- Journal Impact Factor - Journal Citation Reports - Web of Science Group2020
- Find Conferences, Journals, Workshops, Meetings, Symposiums, Seminars and Other Events2015
- 12Scimago Journal and Country Rank2019
- Tinker, 1963, Legibility of print.
Cited by
Sorted by citations
Understanding user experience for mobile applications: a systematic literature review
Lu, G., Qu, S., & Chen, Y. (2025) · Discover Applied Sciences · doi:10.1007/s42452-025-07170-3 · Cited by 38 · see citing works
“…l e g a l i ss u e s , a n d p r i v a c y r i s k t o w i ll i n g n e ss t o u s e [ 80 ] A pp f o n t d e s i g n m e t h o d s r e s e a r c h [ 81 ] Vol.:(0123456789) E v a l u a t i o n o f m e n t a l h e a l t h e ff e c t i v e n e ss r e d u c t i o n [ 84 ] L e a r n i n g U n i v e r s…”
The impact of multidirectional text typography on text readability in word clouds
Ren, H., Liu, Y., Naren, G., et al. (2024) · Displays · doi:10.1016/j.displa.2024.102724 · Cited by 12 · see citing works
Vranceanu, A., Choukas, N. R., Rochon, E. A., Duarte, B. A., Pietrzykowski, M. O., McDermott, K. A., Hooker, J. E., Kulich, R. J., Quiroz, Y. T., Parker, R. A., et al. (2023) · JMIR Research Protocols · doi:10.2196/47319 · Cited by 12 · see citing works
Bahadori, F., Momtaz, Y. A., Shahboulaghi, F. M., & Zandieh, Z. (2024) · Educational Gerontology · doi:10.1080/03601277.2024.2397575 · Cited by 9 · see citing works
“For instance, the small font and icon sizes on smart devices make operating the apps challenging for older folks (Hou et al., 2022).”
Rianmora, S., Sukjitsakunchai, L., & Tachawatanawisal, T. (2024) · Cogent Business & Management · doi:10.1080/23311975.2024.2301798 · Cited by 7 · see citing works
“…and representative food images in which materials, size, and font style are carefully considered, contribute to a more enjoyable and accessible menu for senior customers (akashi et al., 2022; hou et al., 2022; Magnini & Kim, 2016; Ohyama & sagawa, 2016; Price et al., 2016; Wasserstrom, 2023).”
Luo, Y., Yu, H., & Kuang, Y. (2024) · Healthcare · doi:10.3390/healthcare12222209 · Cited by 7 · see citing works
“Furthermore, it is also important for TikTok to improve app design by integrating larger fonts and voice commands, which can enhance accessibility and experience for older users [78].”
Duarte, R. P., Alves, V. N. N., & Mota, M. (2025) · IEEE Access · doi:10.1109/access.2025.3559726 · Cited by 7 · see citing works
“This guideline could help combat reduced visual acuity, fatigue, and difficulty making precise gestures [1], [2], [4], [5], [21], [76], [77].”
Huang, C., Yu, F., Wang, H., & Xu, J. (2025) · Journal of Consumer Behaviour · doi:10.1002/cb.70001 · Cited by 8 · see citing works
Zhang, H., Liang, S., Wu, L., Wang, Y., Luo, L., Peng, B., Xiong, X., Chen, L., Jia, Q., Dai, T., et al. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1735560 · Cited by 6 · see citing works
FakhrHosseini, S., Cerino, L. C., D’Ambrosio, L. A., Balmuth, A., Lee, C., Wu, M., & Coughlin, J. F. (2024) · Robotics · doi:10.3390/robotics13110160 · Cited by 6 · see citing works
Digital Footprints and Machine Learning in Psychological Assessment
Carvalho, R. G. G., & Castro, D. (2025) · European Psychologist · doi:10.1027/1016-9040/a000549 · Cited by 5 · see citing works
Liu, W., Li, X.-Y., Liu, W.-J., et al. (2025) · IEEE Access · doi:10.1109/access.2025.3543432 · Cited by 4 · see citing works
“Particularly for older adults, mobile devices have become frequently used tools in their daily lives [20], [21].”
Yeh, P.-C. (2025) · Perceptual and Motor Skills · doi:10.1177/00315125251345594 · Cited by 3 · see citing works
“Research by Hou et al. (2022) and Borg et al. (2015) demonstrates that font size, contrast levels, and display duration are critical factors in fl uencing comprehension and operational success rates among elderly users.”
Jeong, T., Hwang, G., & Kim, D. Y. (2025) · Healthcare · doi:10.3390/healthcare13243225 · Cited by 3 · see citing works
“Text sizing (16–18 px, 1.5 × line height) supports read-ability [84].”
InfluentialAghaei, H., Askaripoor, T., Meshkinian, A., & Ghaffari, M. E. (2025) · Health Scope · doi:10.5812/healthscope-160312 · Cited by 3 · see citing works
Stuijt, D. G., Kos, M., Dingemans, I., Richel, C., Bosch, J. J., & van Oijen, M. G. H. (2025) · ESMO Real World Data and Digital Oncology · doi:10.1016/j.esmorw.2025.100115 · Cited by 3 · see citing works
“25 By contrast, younger participants might consider a bigger device a hassle to carry, and it is also an extra device, implying extra costs.”
Lee, D., Choi, J., & Noh, J. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714199 · Cited by 2 · see citing works
Senior Citizen User Experience for a Medicine Delivery Service Application
Rentucan, M. X., Leyco, R. L. B., Abdulrasid, H. S., et al. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.03.081 · Cited by 2 · see citing works
Muchiri, A., Charles, J. U. M. A., Ndiege, J. R., et al. (2025) · IST-Africa Conference (IST-Africa) · doi:10.23919/ist-africa67297.2025.11060498 · Cited by 1 · see citing works
“To scale up the consumption of digital services, including those offered through e-Government, it is important to prioritize the development of user-friendly, navigable and intuitive platforms [24]–[26].”
Norekvål, T. M., Amofah, H. A., Instenes, I., Kirk, B. H., Titlestad, I., & Eide, L. S. P. (2025) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvaf200 · Cited by 1 · see citing works
Wang, S., Xue, Y., Qi, K., Zhou, W., Wang, M., Liu, Y., & Qiao, Z. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2610443 · Cited by 1 · see citing works
“Sans-serif fonts of 14 pt and 18 pt were applied to the main textual content to improve readability (Hou et al., 2022; Price et al., 2016).”
Kwon, J., Hsun, C. C., & Ahn, J. (2026) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2026.104651 · Cited by 1 · see citing works
Liu, Y., Wu, J., Wang, X., Pan, C., Chen, Z., & Xue, C. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2301261 · Cited by 1 · see citing works
“Furthermore, within the realm of aging design for smart-phone interaction, research has predominantly focused on optimizing the design of basic interface ergonomics elements, such as icons, text, navigation, buttons, etc (Hou et al., 2022; Li & Luximon, 2020).”
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Kariyawasam, H. K. P. P., Ruwanpathirana, T., Kodithuwakku, K., Munasinghe, D., Ganegoda, D., & Thilakarathna, T. (2023) · International Conference on Advancements in Computing (ICAC) · doi:10.1109/icac60630.2023.10417429 · Cited by 1 · see citing works
Enhancing Readability with a Target-Aware Zooming Technique for Touch Surfaces
Ikematsu, K., & Kato, K. (2024) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3672539.3686329 · Cited by 1 · see citing works
“In general, the optimal zoom level for users varies depending on the displayed content (e.g., font size and style) and user characteristics (e.g., age, visual acuity, and presbyopia) [3, 5, 7].”
Adaptive Font Size Accessibility: A Cross-Media Diagnostic Model
bin Ahsan, W. (2025) · Userhub Journal · doi:10.58947/journal.vfry23 · Cited by 1 · see citing works
Muscettola, A., Murri, M. B., Specchia, M., Bellis, G. A. D., Montemitro, C., Sancassiani, F., Perra, A., Zaccagnino, B., Olivetti, A. F., Sciavicco, G., et al. (2025) · Journal of Personalized Medicine · doi:10.3390/jpm15090423 · Cited by 1 · see citing works
“These issues are typical for senior populations, who often prefer font sizes ≥ 12–14 pt and spacious layouts to reduce visual strain [30].”
Qin, J., Wu, Z., Zhang, H., & Qi, X. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1749507
“These findings extend previous research that has primarily examined older users at an aggregate level or along limited design dimensions, and demonstrate that within-group preference differences should not be overlooked (26, 27, 55).”
InfluentialResearch Trends of Picture Books for Older Adults over 65 in South Korea
Kang, G. E. (2023) · Journal of Curriculum and Teaching · doi:10.5430/jct.v12n3p70
Arboleda, J., Leochico, C. F. D., Ignacio, S. D., et al. (2024) · doi:10.2196/preprints.67974
Thorp, S. R., Zell, C. S., Colón, K., Modzelewska, K., Allard, C. B., & Rice-Thorp, N. M. (2024) · CBT: science into practice · doi:10.1007/978-3-031-72720-7_7
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Mustić, D., Cigula, T., & Kovačević, D. (2025) · Proceeding of the Global Conference on Aging and Gerontology · doi:10.33422/agconf.v2i1.1025
“A systematic literature review by Hou et al. (2022) analyzed numerous studies on font size preferences among older adults.”
Kim, Y., Shin, H., & Kim, S. Y. (2025) · IGEE proceedings (Online) · doi:10.69841/igee.2025.017
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Ikematsu, K., & Kato, K. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2534061
“…2022; Zaki Ramadan, 2011), as well as studies focused on specific user groups (e.g., different ages and visual acuities) (Darroch et al., 2005; Hou et al., 2022), displayed languages (Motamedi & Choe, 2015; Zhu et al., 2021), color schemes (e.g., dark mode) (Chen et al., 2023), and…”
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Shabiriani, U. N., Purnomo, A., Permana, F., et al. (2025) · AIP conference proceedings · doi:10.1063/5.0259441
Guo, X., Hao, C., Hao, Y., et al. (2024) · International Symposium of Chinese CHI (Chinese CHI) · doi:10.1145/3758871.3758878
Arboleda, J., Ignacio, S. D., Mojica, J. A. P., et al. (2025) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/67974
“These lessons were applied to the final version of the Filipino STAT (Multimedia Appendix 5) as follows: breaking down chunks of texts into bullet points, using Sans Serif typefaces with at least a 16-point font size, and providing white spaces and appropriate contrasts [18,19].”
Hwang, J. Y. I., Butler, T. G., Schofield, P., et al. (2025) · doi:10.2196/preprints.85768
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Buoy, R., Dongmo, D. B. F., Khean, V., Marinai, S., & Kise, K. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-36039-7_32
Mohamad, N. H. S., Anuar, N., Ngadiran, N. M., et al. (2026) · Language and Semiotic Studies · doi:10.1515/lass-2025-0065
“Typography contributes directive and assertive acts; for instance, bold headings instruct readers ’ behavior (Margolin 2012), while small fonts in religious sections, despite authoritative tone, risk reducing in-clusivity for elderly readers (Hou et al. 2022).”
Hwang, Y. I., Butler, T. G., Schofield, P. W., et al. (2026) · JMIR Formative Research · doi:10.2196/85768
“Simplicity, consistency, and clarity were prioritized for visual design suitable for older adults based on relevant evidence [33,34].”
Conceptual Design of an Adaptive Mobility System for Later Life
Afzali, S. N., Hermann, J., Kocak, S., Eisenhardt, D., Ünal, E., & Doğangün, A. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3799305
“However, when creating the Figma prototype, we incorporated several UI design considerations for elderly users, such as large buttons [19, 22, 62], high-contrast color [19, 22], large fonts [22, 23], and minimal typing requirements [22].”
Dementia: Harnessing the power of slow memory to prevent disease progression
Machado, I. (2026) · Memory Studies · doi:10.1177/17506980261416335
“Therefore, it is crucial to design for all audiences (Hou et al., 2022).”
An Eye-Tracking-Driven Evaluation Framework for Age-Friendly Smart Home Interface
Huang, Z., & Chen, Y. (2026) · Applied Sciences · doi:10.3390/app16115454
Evaluasi Keterbacaan Tipografi pada Aplikasi E-Book Mobile dalam Kondisi Pencahayaan Berbeda
Gibran, K., Gea, N., Ginting, A., et al. (2026) · Edutik Jurnal Pendidikan Teknologi Informasi dan Komunikasi · doi:10.67142/edutik.v6i3.384
Ong, Q. C., Pienkowska, A., Obarcanin, E., Stona, A., Khong, A. W. H., Car, J., & Ho, A. H. Y. (2026) · JMIR mhealth and uhealth · doi:10.2196/83442
“Beyond app functionalities such as implementing adjustable font sizes or using a larger font as the default [68], content designers should consider including alternative text descriptions for images, high-contrast color schemes, and scalable fonts to accommodate users with visual impairments.”
Designing Instructions for Older Adults’ Installation of Multi-Device Smart Home Systems
Maalouf, N. A., & Lee, C. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30424-7_2
Age-Appropriate Mobile Banking Interface Design Using AI-Based Age Estimation
İsmailoğlu, F., & Öncül, A. B. (2026) · ADBA computer science. · doi:10.69882/adba.cs.2026073
“Recent mobile-interface studies have raised the recommended lower threshold for body text for older users to approximately 18–22 sp (Hou et al. 2022; Gomez-Hernandez et al. 2023).”
An LLM Web Extension for Text Adaptation to Reduce Cognitive Load in Older Adults
Rojas, R. F. D. L. R., & Soto, J. C. H. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-37438-7_36
Zhang, X., Zhang, H., & Zheng, Y. (2026) · Applied Sciences · doi:10.3390/app16199695
Learn AI with AI: Designing conversational agents to support older adults in learning about AI
KangJie, E. T., Song, T., Shi, M., & Lee, Y. (2026) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2026.103953
Developing and validating a scenario-based evaluation framework for age-friendly IPTV services
Liu, C., Tao, R., & Guo, J. (2026) · Universal Access in the Information Society · doi:10.1007/s10209-026-01392-x
“Improving readability and visual accessibility has therefore become an important direction in age-friendly design [47, 48].”
Lamprogeorgos, A., Honorato, D., Panagopoulos, M., et al. (2026) · Arts · doi:10.3390/arts15100238
- Authors
- Hou, G., Anicetus, U., & He, J.
- Affiliations
- Ningbo University (CN)
- Guangzhou University (CN)
- Corresponding author
- Hou, Guanhua
- He, Jingwei
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2022-08-01
- Volume
- 13
- Pages
- 931646-931646
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC9376262
- OpenAlex
- W4289130364
- Semantic Scholar
- bbc8c2026555b53bd5246aef545350bc210c9f5f
- Cited by
- 53
- References
- 50
- Citations by year
- 2026: 19 · 2025: 20 · 2024: 11 · 2023: 3
- FWCI
- 1.86
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Jilin Office of Philosophy and Social Science
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Health Sciences › Medicine › Epidemiology › Ophthalmology and Visual Impairment Studies
- Keywords
- font size, older adults, readability, legibility, reading speed, visual angle, usability evaluation methods, eye tracking, aging, typographic design
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