Abstract
Wearable devices have a rapid development and popularity in the last decade, and the human-computer interaction issues in this field have become prominent. In general, the screen size of wearable devices is much smaller. Besides, the usage scenario is usually outdoors under the state of moving. Consequently, it is difficult to apply the existing standards of other devices, such as laptops, on them. In this study, we used a smartwatch as the interaction device, and 45 users participated in this study. Two experiments were designed to investigate the influence of the key factors (font size, contrast, and weight) that influenced legibility of text (numbers and characters) on behavioral performance and subjective experience for two age groups (people aged 18–40 vs. people aged over 40). The results showed that the font size had the greatest influence on legibility. For people over 40, the very small size and the small size text could not be clearly recognized. For the young people aged 18–40, the font size had a subtle influence on performance. However, too large font size reduced the preference for message reading. Contrast is another variable that influence legibility. Low contrast needs to be avoided in the design. The influence of weight is relatively small, and very thin weight is worse than medium and very thick weight. In general, the method used in this study had high ecological validity and we hope to provide useful suggestions for the design of smartwatch.
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References
Iqbal, S.M., Mahgoub, I., Du, E., Leavitt, M.A., Asghar, W.: Advances in healthcare wearable devices. npj Flexible Electron. 5(1), 1–14 (2021)
Hayes, S.T., Hooten, E.R., Adams, J.A. (eds.) Tablet interaction accuracy and precision: seated vs. walking. In: Proceedings of the human factors and ergonomics society annual meeting. SAGE Publications Sage CA, Los Angeles, CA (2014)
Dingler, T., Rzayev, R., Schwind, V., Henze, N. (eds.) RSVP on the go: implicit reading support on smart watches through eye tracking. In: Proceedings of the 2016 ACM International Symposium on Wearable Computers (2016)
Ou, L.C., Sun, P.L., Huang, H.P., Ronnier, L.M.: Visual comfort as a function of lightness difference between text and background: a cross-age study using an LCD and a tablet computer. Color. Res. Appl. 40(2), 125–134 (2015)
Pizza, S., Brown, B., McMillan, D., Lampinen, A. (eds.) Smartwatch in vivo. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (2016)
Chun, J., Dey, A., Lee, K., Kim, S.: A qualitative study of smartwatch usage and its usability. Hum. Factors Ergon. Manuf. Serv. Indus. 28(4), 186–199 (2018)
Nielsen, J.: Legibility, Readability and comprehension: making users read your words (2015). https://www.nngroup.com/articles/legibility-readability-comprehension. Accessed 30 Dec 2021
Zhao, Y., Ding, L., Li, Y., Ran, L. (eds.) The effect of font size, age and lighting environment on Chinese character legibility. In: 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), IEEE (2016)
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.) Human-Computer Interaction - INTERACT 2005, pp. 253–266. Springer Berlin Heidelberg, Berlin, Heidelberg (2005). https://doi.org/10.1007/11555261_23
Bernard, M.L., Chaparro, B.S., Mills, M.M., Halcomb, C.G.: Comparing the effects of text size and format on the readibility of computer-displayed Times New Roman and Arial text. Int. J. Hum Comput Stud. 59(6), 823–835 (2003)
Dobres, J., Wolfe, B., Chahine, N., Reimer, B.: The effects of visual crowding, text size, and positional uncertainty on text legibility at a glance. Appl. Ergon. 70, 240–246 (2018)
Chan, A., Lee, P.: Effect of display factors on Chinese reading times, comprehension scores and preferences. Behav. Inform. Technol. 24(2), 81–91 (2005)
Liu, N., Yu, R., Zhang, Y.: Effects of font size, stroke width, and character complexity on the legibility of Chinese characters. Hum. Factors and Ergon. Manuf. Serv. Indus. 26(3), 381–392 (2016)
Lin, H., Wu, F.-G., Cheng, Y.-Y.: Legibility and visual fatigue affected by text direction, screen size and character size on color LCD e-reader. Displays 34(1), 49–58 (2013)
Ayama, M., Ujike, H., Iwai, W., Funakawa, M., Okajima, K.: Effects of contrast and character size upon legibility of Japanese text stimuli presented on visual display terminal. Opt. Rev. 14(1), 48–56 (2007)
Lin, C.-C., Huang, K.-C.: Effects of color combination and ambient illumination on visual perception time with TFT-LCD. Percept. Mot. Skills 109(2), 607–625 (2009)
Roufs, J.A., Boschman, M.C.: Text quality metrics for visual display units: I. Methodological aspects. Displays 18(1), 37–43 (1997)
Zhu, Z., Wu, J.: On the standardization of VDT’s proper and optimal contrast range. Ergonomics 33(7), 925–932 (1990)
Burmistrov, I., Zlokazova, T., Ishmuratova, I., Semenova, M. (eds.) Legibility of light and ultra-light fonts: eyetracking study. In: Proceedings of the 9th Nordic conference on human-computer interaction (2016)
Dobres, J., Reimer, B., Chahine, N. (eds.) The effect of font weight and rendering system on glance-based text legibility. In: Proceedings of the 8th international conference on automotive user interfaces and interactive vehicular applications (2016)
Pitt, M., Rawles, J.: The effect of age on saccadic latency and velocity. Neuroophthalmology 8(3), 123–129 (1988)
Fozard, J.L.: Vision and hearing in aging. Handbook Psychol. Aging 3, 143–156 (1990)
Sleimen-Malkoun, R., Temprado, J.-J., Berton, E.: Age-related dedifferentiation of cognitive and motor slowing: insight from the comparison of Hick-Hyman and Fitts’ laws. Front. Aging Neurosci. 5, 62 (2013)
Heinz, M., et al.: Perceptions of technology among older adults. J. Gerontol. Nurs. 39(1), 42–51 (2013)
Dang, J., King, K.M., Inzlicht, M.: Why are self-report and behavioral measures weakly correlated? Trends Cogn. Sci. 24(4), 267–269 (2020)
Acknowledgment
This work was supported by National Natural Science Foundation of China (52072406). We are particularly grateful to the support of the Huawei & Chinese Academy of Sciences UX Design Human Factors joint Lab.
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Wang, X., Zhang, H., He, M., Liu, Y., Zhang, L. (2022). The Influence of Font Size, Contrast, and Weight on Text Legibility for Wearable Devices. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2022. Lecture Notes in Computer Science(), vol 13307. Springer, Cham. https://doi.org/10.1007/978-3-031-06086-1_10
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