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Article published In:
Information Design Journal
Vol. 28:2 (2023) ► pp.141–177

Improving the design of public health infographics using a motion graphic educational resource to enhance design principle application

ORCID logo | University of Leeds
ORCID logo | University of Leeds
Infographics are commonly used in public health to disseminate key messages to wide audiences. Although health organisations are making increasing use of infographics, their designs are of variable quality. The research reported here aimed to develop an educational tool that could improve public health infographic design, using motion graphics to teach users with limited design experience how to apply research-based design principles. Results were positive, with significant improvements in performance (including information location time, memorability, and user perception) observed for the infographics designed after the resource was used, compared to the infographics created before.
Keywords: information design, infographics, public health information, healthcare, design principles, user-centred design, user testing, information visualisation, motion graphics
Article outline
  • 1.Introduction
    • 1.1Background
    • 1.2Existing research
    • 1.3Research objectives
    • 1.4Hypothesis
    • 1.5Research timeline
  • 2.Content and design development
    • 2.1Design development – Stakeholder interview
    • 2.2Design development – infographic principles’ content
    • 2.3Design development – motion graphic principles
    • 2.4Design development – motion graphics content development
    • 2.5Design development – usability testing 1
    • 2.6Design development – usability testing 2
    • 2.7Design development – final design output
  • 3.Research materials and methodology
    • 3.1Research material generation process
    • 3.2Infographic design outcomes
      • 3.2.1Initial design principle analysis
      • 3.2.2Infographic testing material selection
    • 3.3Healthcare professionals’ opinions
    • 3.4Experimental methodology – justification
    • 3.5Experimental methodology – participants
    • 3.6Experimental methodology – procedure
  • 4.Results
    • 4.1Performance results
      • 4.1.1Performance results – Information location
      • 4.1.2Performance results – recall accuracy
      • 4.1.3Performance results – recall time
      • 4.1.4Performance results – one-way ANOVA tests
      • 4.1.5Performance results – principle application analysis
    • 4.2Opinion results
      • 4.2.1Opinion results – microsoft desirability toolkit
    • G1 opinion results
      • 4.2.2G1 – positives features of the designs
      • 4.2.3G1 – negative features of the designs
    • G2 opinion results
      • 4.2.4G2 – positives features of the designs
      • 4.2.5G2 – negative features of the designs
    • Likert scale
      • 4.2.6Results – likert scale
  • 5.Discussion
    • 5.1Discussion – performance results
    • 5.2Discussion – opinion results
    • 5.3Discussion – links to existing research
    • 5.4Discussion – research limitations
    • 5.5Discussion – conclusion
  • References
Published online: 31 August 2023
DOI logo
https://doi.org/10.1075/idj.23006.bax
References (116)
References
Agley, J., Xiao, Y., Thompson, E. E., Chen, X., & Golzarri-Arroyo, L. (2021). Intervening on trust in science to reduce belief in COVID-19 misinformation and increase COVID-19 preventive behavioral intentions: randomized controlled trial. Journal of Medical Internet Research, 23x)(10), e32425. DOI logoGoogle Scholar
Ali, N., & Peebles, D. (2013). The effect of gestalt laws of perceptual organization on the comprehension of three-variable bar and line graphs. Human factors, 55 (1), 183–203. DOI logoGoogle Scholar
Barlow, B., Webb, A., & Barlow, A. (2021). Maximizing the visual translation of medical information: A narrative review of the role of infographics in clinical pharmacy practice, education, and research. Journal of the American College of Clinical Pharmacy, 4x)(2), 257–266. DOI logoGoogle Scholar
Bateman, S., Mandryk, R. L., Gutwin, C., Genest, A., McDine, D., & Brooks, C. (2010). Useful junk? The effects of visual embellishment on comprehension and memorability of charts. Proceedings of the SIGCHI conference on human factors in computing systems.
Baxter, M., Lonsdale, M., & Westland, S. (2021). Utilising design principles to improve the perception and effectiveness of public health infographics. Information Design Journal, 26x)(2), 124–156. DOI logoGoogle Scholar
Bernard, M. L., Chaparro, B. S., Mills, M. M., & Halcomb, C. G. (2003). Comparing the effects of text size and format on the readibility of computer-displayed Times New Roman and Arial text. International Journal of Human-Computer Studies, 59 (6), 823–835. DOI logoGoogle Scholar
Bettman, J. R., Payne, J. W., & Staelin, R. (1986). Cognitive considerations in designing effective labels for presenting risk information. Journal of Public Policy & Marketing, 5 (1), 1–28. DOI logoGoogle Scholar
Beymer, D., Russell, D., & Orton, P. (2008). An eye tracking study of how font size and type influence online reading. People and computers XXII: culture, creativity, interaction: proceedings of HCI 2008. the 22nd British HCI Group annual conference, DOI logoGoogle Scholar
BHF. (2021). Heart attack. Retrieved 1 October 2021 from [URL]
Brame, C. J. (2016). Effective educational videos: Principles and guidelines for maximizing student learning from video content. CBE – Life Sciences Education, 15x)(4). DOI logoGoogle Scholar
Buchner, A., & Baumgartner, N. (2007). Text–background polarity affects performance irrespective of ambient illumination and colour contrast. Ergonomics, 50 (7), 1036–1063. DOI logoGoogle Scholar
Chan, A. K., Nickson, C. P., Rudolph, J. W., Lee, A., & Joynt, G. M. (2020). Social media for rapid knowledge dissemination: early experience from the COVID-19 pandemic. Anaesthesia, 75x)(12), 1579–1582. DOI logoGoogle Scholar
Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C. M., Brugnoli, E., Schmidt, A. L., Zola, P., Zollo, F., & Scala, A. (2020). The COVID-19 social media infodemic. Scientific reports, 10x)(1), 1–10. DOI logoGoogle Scholar
Crutcher, M., & Seidler, P. M. (2021). Maximizing Completion of the Two-Dose COVID-19 Vaccine Series with Aid from Infographics. Vaccines, 9 (11), 1229. DOI logoGoogle Scholar
Domgaard, S., & Park, M. (2021). Combating misinformation: The effects of infographics in verifying false vaccine news. Health Education Journal, 80x)(8), 974–986. DOI logoGoogle Scholar
Dowse, R., & Ehlers, M. (2005). Medicine labels incorporating pictograms: do they influence understanding and adherence? Patient education and counseling, 58 (1), 63–70. DOI logoGoogle Scholar
Dunlap, J. C., & Lowenthal, P. R. (2016). Getting graphic about infographics: design lessons learned from popular infographics. Journal of Visual Literacy, 35 (1), 42–59. DOI logoGoogle Scholar
Dwyer, F. M., & Moore, D. M. (1991). Effect of color coding on visually oriented tests with students of different cognitive styles. The journal of psychology, 125 (6), 677–680. DOI logoGoogle Scholar
Greenhalgh, T., Sivan, M., Delaney, B., Evans, R., & Milne, R. (2022). Long covid – an update for primary care. BMJ, 378x)1, e072117. DOI logoGoogle Scholar
Dzulkifli, M. A., & Mustafar, M. F. (2013). The influence of colour on memory performance: A review. The Malaysian journal of medical sciences: MJMS, 20 (2), 3.Google Scholar
Egan, M., Acharya, A., Sounderajah, V., Xu, Y., Mottershaw, A., Phillips, R., Ashrafian, H., & Darzi, A. (2021). Evaluating the effect of infographics on public recall, sentiment and willingness to use face masks during the COVID-19 pandemic: a randomised internet-based questionnaire study. BMC public health, 21 (1), 1–10. DOI logoGoogle Scholar
Farley, F. H., & Grant, A. P. (1976). Arousal and cognition: Memory for color versus black and white multimedia presentation. The Journal of Psychology, 94 (1), 147–150. DOI logoGoogle Scholar
Galitz, W. O. (2007). The essential guide to user interface design: an introduction to GUI design principles and techniques. John Wiley & Sons.Google Scholar
Gelman, A., & Unwin, A. (2013). Infovis and statistical graphics: different goals, different looks. Journal of Computational and Graphical Statistics, 22 (1), 2–28. DOI logoGoogle Scholar
Gillan, D. J., & Richman, E. H. (1994). Minimalism and the syntax of graphs. Human Factors, 36 (4), 619–644. DOI logoGoogle Scholar
Gkogka, E. (2018). Gestalt principles in UI design. Retrieved 12 December from [URL]
Graham, L. (2008). Gestalt theory in interactive media design. Journal of Humanities & Social Sciences, 2 (1).Google Scholar
Hall, R. H., & Hanna, P. (2004). The impact of web page text-background colour combinations on readability, retention, aesthetics and behavioural intention. Behaviour & Information Technology, 23 (3), 183–195. DOI logoGoogle Scholar
Hamaguchi, R., Nematollahi, S., & Minter, D. J. (2020). Picture of a pandemic: visual aids in the COVID-19 crisis. Journal of Public Health, 42x)(3), 483–485. DOI logoGoogle Scholar
Hapsari, A. S., & Hanif, M. (2019). Motion graphic animation videos to improve the learning outcomes of elementary school students. European Journal of Educational Research, 8 (4), 1245–1255. DOI logoGoogle Scholar
Harrison, L., Reinecke, K., & Chang, R. (2015). Infographic aesthetics: Designing for the first impression. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. DOI logo
Hawley, S. T., Zikmund-Fisher, B., Ubel, P., Jancovic, A., Lucas, T., & Fagerlin, A. (2008). The impact of the format of graphical presentation on health-related knowledge and treatment choices. Patient education and counseling, 73 (3), 448–455. DOI logoGoogle Scholar
Hernandez-Sanchez, S., Moreno-Perez, V., Garcia-Campos, J., Marco-Lledó, J., Navarrete-Munoz, E. M., & Lozano-Quijada, C. (2021). Twelve tips to make successful medical infographics. Medical Teacher, 43x)(12), 1353–1359. DOI logoGoogle Scholar
Höffler, T. N., & Leutner, D. (2007). Instructional animation versus static pictures: A meta-analysis. Learning and instruction, 17x)(6), 722–738. DOI logoGoogle Scholar
Hick, W. E. (1952). On the rate of gain of information. Quarterly Journal of experimental psychology, 4 (1), 11–26. DOI logoGoogle Scholar
Hildon, Z., Allwood, D., & Black, N. (2012). Impact of format and content of visual display of data on comprehension, choice and preference: a systematic review. International Journal for Quality in Health Care, 24 (1), 55–64. DOI logoGoogle Scholar
Houts, P. S., Doak, C. C., Doak, L. G., & Loscalzo, M. J. (2006). The role of pictures in improving health communication: a review of research on attention, comprehension, recall, and adherence. Patient education and counseling, 61x)(2), 173–190. DOI logoGoogle Scholar
Hsueh, C.-H., Chou, J.-K., & Ma, K.-L. (2016). A Study of using motion for comparative visualization. 2016 IEEE Pacific Visualization Symposium (PacificVis). DOI logo
Huang, S., Martin, L. J., Yeh, C. H., Chin, A., Murray, H., Sanderson, W. B., Mohindra, R., Chan, T. M., & Thoma, B. (2018). The effect of an infographic promotion on research dissemination and readership: a randomized controlled trial. Canadian Journal of Emergency Medicine, 20 (6), 826–833. DOI logoGoogle Scholar
Hyönä, J., & Lorch, R. F. (2004). Effects of topic headings on text processing: Evidence from adult readers’ eye fixation patterns. Learning and instruction, 14 (2), 131–152. DOI logoGoogle Scholar
Jamet, E. (2014). An eye-tracking study of cueing effects in multimedia learning. Computers in Human Behavior, 32 1, 47–53. DOI logoGoogle Scholar
Jin, S. -H. (2013). Visual design guidelines for improving learning from dynamic and interactive digital text. Computers & Education, 63 1, 248–258. DOI logoGoogle Scholar
Keller, T., Gerjets, P., Scheiter, K., & Garsoffky, B. (2006). Information visualizations for knowledge acquisition: The impact of dimensionality and color coding. Computers in Human Behavior, 22 (1), 43–65. DOI logoGoogle Scholar
Kim, D. -Y. (2010). The interactive effects of colors on visual attention and working memory: In case of images of tourist attractions International CHRIE Conference-Refereed Track. 1,Google Scholar
Kemp, D., King, A. J., Upshaw, S. J., Mackert, M., & Jensen, J. D. (2021). Applying harm reduction to COVID-19 prevention: The influence of moderation messages and risk infographics. Patient education and counseling, 105x)(2), 269–276. DOI logoGoogle Scholar
Kim, H. K., Ahn, J., Atkinson, L., & Kahlor, L. A. (2020). Effects of COVID-19 misinformation on information seeking, avoidance, and processing: A multicountry comparative study. Science Communication, 42x)(5), 586–615. DOI logoGoogle Scholar
Kools, M., Ruiter, R. A., Van De Wiel, M. W., & Kok, G. (2008). The effects of headings in information mapping on search speed and evaluation of a brief health education text. Journal of Information Science, 34 (6), 833–844. DOI logoGoogle Scholar
Kouzy, R., Abi Jaoude, J., Kraitem, A., El Alam, M. B., Karam, B., Adib, E., Zarka, J., Traboulsi, C., Akl, E. W., & Baddour, K. (2020). Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter. Cureus, 12x)(3). DOI logoGoogle Scholar
Kripalani, S., Robertson, R., Love-Ghaffari, M. H., Henderson, L. E., Praska, J., Strawder, A., Katz, M. G., & Jacobson, T. A. (2007). Development of an illustrated medication schedule as a low-literacy patient education tool. Patient education and counseling, 66 (3), 368–377. DOI logoGoogle Scholar
Kunze, K. N., Vadhera, A., Purbey, R., Singh, H., Kazarian, G. S., & Chahla, J. (2021). Infographics Are More Effective at Increasing Social Media Attention in Comparison With Original Research Articles: An Altmetrics-Based Analysis. Arthroscopy: The Journal of Arthroscopic & Related Surgery, 37 (8), 2591–2597. DOI logoGoogle Scholar
Lau, N., O’Daffer, A., Joyce, P., & Rosenberg, A. R. (2021). Popular evidence-based commercial mental health apps: analysis of engagement, functionality, aesthetics, and information quality. JMIR mHealth and uHealth, 9 (7), e29689. DOI logoGoogle Scholar
Ling, J., & Van Schaik, P. (2002). The effect of text and background colour on visual search of Web pages. Displays, 23 (5), 223–230. DOI logoGoogle Scholar
(2006). The influence of font type and line length on visual search and information retrieval in web pages. International journal of human-computer studies, 64 (5), 395–404. DOI logoGoogle Scholar
Lonsdale, M. (2014). Typographic features of text. Outcomes from research and practice. Visible Language, 48 (3), 29–67.Google Scholar
Lonsdale, M., & Liao, H. (2018). Improving obesity prevention among university students through a tailored information design approach. Information Design Journal, 24x)(1), 3–25.Google Scholar
Lonsdale, M., & Lonsdale, D. (2019). Design2Inform: Information visualisation [URL]
Lonsdale, M., Lonsdale, D., Baxter, M., Graham, R., Kanafani, A., Li, A., & Peng, C. (2019). Visualizing the terror threat. The impact of communicating security information to the general public using infographics and motion graphics. Visible Language, 53x)(2), 37–71.Google Scholar
Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K., & Larson, H. J. (2021). Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature human behaviour, 5x)(3), 337–348. DOI logoGoogle Scholar
Lunn, P. D., Timmons, S., Julienne, H., Belton, C. A., Barjaková, M., Lavin, C., & McGowan, F. P. (2021). Using decision aids to support self-isolation during the COVID-19 pandemic. Psychology & Health, 36x)(2), 195–213. DOI logoGoogle Scholar
Macaya, M., & Perea, M. (2014). Does bold emphasis facilitate the process of visual-word recognition? The Spanish journal of psychology, 17 (3). DOI logoGoogle Scholar
Mackiewicz, J. (2009). The Newest Tool for Technical Communicators – Redux. Technical Communication, 56 (1), 3–13.Google Scholar
Majooni, A., Masood, M., & Akhavan, A. (2018). An eye-tracking study on the effect of infographic structures on viewer’s comprehension and cognitive load. Information Visualization, 17 (3), 257–266. DOI logoGoogle Scholar
Mansoor, L. E., & Dowse, R. (2003). Effect of pictograms on readability of patient information materials. Annals of Pharmacotherapy, 37 (7–8), 1003–1009. DOI logoGoogle Scholar
Martin, L. J., Turnquist, A., Groot, B., Huang, S. Y., Kok, E., Thoma, B., & van Merriënboer, J. J. (2019). Exploring the role of infographics for summarizing medical literature. Health Professions Education, 5x)(1), 48–57. DOI logoGoogle Scholar
Mautone, P. D., & Mayer, R. E. (2001). Signaling as a cognitive guide in multimedia learning. Journal of educational Psychology, 93 (2), 377. DOI logoGoogle Scholar
Mayer, R. E. (2009). Multimedia Learning (2nd ed.). Cambridge University Press. DOI logoGoogle Scholar
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational psychologist, 38x)(1), 43–52. DOI logoGoogle Scholar
MayoClinic. (2021). Heart Attack. Retrieved 1 October 2021 from [URL]
McCready. (2016). 6 Ways to Use Infographic Icons Like a Pro. Retrieved 17 April from [URL]
Mian, A., & Khan, S. (2020). Coronavirus: the spread of misinformation. BMC medicine, 18x)1, 1–2. DOI logoGoogle Scholar
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological review, 63 (2), 81. DOI logoGoogle Scholar
Mollerup, P. (2015). Data design: visualising quantities, locations, connections. Bloomsbury Publishing.Google Scholar
Moore, R. S., Stammerjohan, C. A., & Coulter, R. A. (2005). Banner advertiser-web site context congruity and color effects on attention and attitudes. Journal of advertising, 34 (2), 71–84. DOI logoGoogle Scholar
Murray, I., Murray, A., Wordie, S., Oliver, C., Murray, A., & Simpson, A. (2017). Maximising the impact of your work using infographics. The British Editorial Society of Bone and Joint Surgery London, 6 (11), 619–620. DOI logoGoogle Scholar
NHS. (2020). COVID-19 research briefing infographic. Retrieved 12 April from [URL]
. (2021). Heart Attack. Retrieved 1 October 2021 from [URL]
Obie, H. O., Chua, C., Avazpour, I., Abdelrazek, M., Grundy, J., & Bednarz, T. (2019). A study of the effects of narration on comprehension and memorability of visualisations. Journal of Computer Languages, 52x)1, 113–124. DOI logoGoogle Scholar
Ozcelik, E., Arslan-Ari, I., & Cagiltay, K. (2010). Why does signaling enhance multimedia learning? Evidence from eye movements. Computers in human behavior, 26 (1), 110–117. DOI logoGoogle Scholar
Ozcelik, E., Karakus, T., Kursun, E., & Cagiltay, K. (2009). An eye-tracking study of how color coding affects multimedia learning. Computers & Education, 53 (2), 445–453. DOI logoGoogle Scholar
Padilla, L. M., Creem-Regehr, S. H., Hegarty, M., & Stefanucci, J. K. (2018). Decision making with visualizations: a cognitive framework across disciplines. Cognitive research: principles and implications, 3 (1), 29. DOI logoGoogle Scholar
Park, J., & Zuniga, J. (2016). Effectiveness of using picture-based health education for people with low health literacy: An integrative review. Cogent Medicine, 3 (1), 1264679. DOI logoGoogle Scholar
Patterson, R. E., Blaha, L. M., Grinstein, G. G., Liggett, K. K., Kaveney, D. E., Sheldon, K. C., Havig, P. R., & Moore, J. A. (2014). A human cognition framework for information visualization. Computers & Graphics, 42 1, 42–58. DOI logoGoogle Scholar
Pelli, D. G., Burns, C. W., Farell, B., & Moore-Page, D. C. (2006). Feature detection and letter identification. Vision research, 46 (28), 4646–4674. DOI logoGoogle Scholar
Poulton, E. (1972). Size, style, and vertical spacing in the legibility of small typefaces. Journal of Applied Psychology, 56 (2), 156. DOI logoGoogle Scholar
Pušnik, N., Možina, K., & Podlesek, A. (2016). Effect of typeface, letter case and position on recognition of short words presented on-screen. Behaviour & Information Technology, 35 (6), 442–451. DOI logoGoogle Scholar
Richter, J., Scheiter, K., & Eitel, A. (2016). Signaling text-picture relations in multimedia learning: A comprehensive meta-analysis. Educational Research Review, 17 1, 19–36. DOI logoGoogle Scholar
Rotolo, S. M., Jain, S., Dhaon, S., Dokhanchi, J. K., Kalata, E., Shah, T., Mordell, L. J., Clayman, M. L., Kenefake, A., & Zimmermann, L. J. (2021). A coordinated strategy to develop and distribute infographics addressing COVID-19 vaccine hesitancy and misinformation. Journal of the American Pharmacists Association, 62 (1), 224–231. DOI logoGoogle Scholar
Schaie, K. W., & Heiss, R. (1964). Color and personality. Grune & Stratton.Google Scholar
Schindler, P. S. (1986). Color and contrast in magazine advertising. Psychology & Marketing, 3 (2), 69–78. DOI logoGoogle Scholar
Scott, H., Fawkner, S., Oliver, C., & Murray, A. (2016). Why healthcare professionals should know a little about infographics. British Journal of Sports Medicine, 50x)(18), 1104–1105. DOI logoGoogle Scholar
Scott, H., Fawkner, S., Oliver, C. W., & Murray, A. (2017). How to make an engaging infographic? British Journal of Sports Medicine, 51 1, 1183–1184. DOI logoGoogle Scholar
Seo, K. -K., Lee, S., Chung, B. D., & Park, C. (2015). Users’ emotional valence, arousal, and engagement based on perceived usability and aesthetics for web sites. International Journal of Human-Computer Interaction, 31 (1), 72–87. DOI logoGoogle Scholar
Skau, D., Harrison, L., & Kosara, R. (2015). An evaluation of the impact of visual embellishments in bar charts. Computer Graphics Forum, 34 (3), 221–230. DOI logoGoogle Scholar
Snyder-Ramos, S. A., Seintsch, H., Böttiger, B. W., Motsch, J., Martin, E., & Bauer, M. (2005). Patient satisfaction and information gain after the preanesthetic visit: a comparison of face-to-face interview, brochure, and video. Anesthesia & Analgesia, 100x)(6), 1753–1758. DOI logoGoogle Scholar
Spence, I. (2005). No humble pie: The origins and usage of a statistical chart. Journal of Educational and Behavioral Statistics, 30 (4), 353–368. DOI logoGoogle Scholar
Spence, I., Wong, P., Rusan, M., & Rastegar, N. (2006). How color enhances visual memory for natural scenes. Psychological Science, 17 (1), 1–6. DOI logoGoogle Scholar
StatisticsCanada. (2019). Firearm-related violent crime in Canada Retrieved 25 November 2018 from [URL]
Stonbraker, S., Flynn, G., George, M., Cunto-Amesty, S., Alcántara, C., Abraído-Lanza, A. F., Halpern, M., Rowell-Cunsolo, T., Bakken, S., & Schnall, R. (2022). Feasibility and acceptability of using information visualizations to improve HIV-related communication in a limited-resource setting: A short report. AIDS care, 34x)(4), 535–541. DOI logoGoogle Scholar
Stonbraker, S., Halpern, M., Bakken, S., & Schnall, R. (2019). Developing Infographics to Facilitate HIV-Related Patient–Provider Communication in a Limited-Resource Setting. Applied clinical informatics, 10x)(04), 597–609. DOI logoGoogle Scholar
Stone, M. (2006). Choosing colors for data visualization. Business Intelligence Network, 2 1.Google Scholar
Stones, C., & Gent, M. (2015a). The 7 Graphic Principles of Public Health Infographic Design [URL]
(2015b). “If The Guardian can do it, we should be able to do it!” Examining Public Health Infographic Strategies used by Public Health Professionals. Design4Health 2015 Proceedings.Google Scholar
(2015). The 7 Graphic Principles of Public Health Infographic Design [URL]
Tetlan, L., & Marschalek, D. (2016). How Humans Process Visual Information: A focused primer for designing information. Visible Language, 50 (3), 65–88.Google Scholar
Tijus, C., Barcenilla, J., De Lavalette, B. C., & Meunier, J. -G. (2007). The design, understanding and usage of pictograms. In Written documents in the workplace (pp. 17–31). Brill. DOI logoGoogle Scholar
Tinker, M. A. (1965). Bases for effective reading. University of Minnesota Press.Google Scholar
Tractinsky, N., Katz, A. S., & Ikar, D. (2000). What is beautiful is usable. Interacting with computers, 13 (2), 127–145. DOI logoGoogle Scholar
Vraga, E. K., & Bode, L. (2021). Addressing COVID-19 misinformation on social media preemptively and responsively. Emerging infectious diseases, 27x)(2), 396. DOI logoGoogle Scholar
Wang, Z., Wang, S., Farinella, M., Murray-Rust, D., Henry Riche, N., & Bach, B. (2019). Comparing effectiveness and engagement of data comics and infographics. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. DOI logo
WHO. (2023). Avoid the Three C’s infographic. Retrieved 12 April from [URL]
Wiana, W., Barliana, M. S., & Riyanto, A. A. (2018). The Effectiveness of Using Interactive Multimedia Based on Motion Graphic in Concept Mastering Enhancement and Fashion Designing Skill in Digital Format. International Journal of Emerging Technologies in Learning, 13 (2), 4. DOI logoGoogle Scholar
Wichmann, F. A., Sharpe, L. T., & Gegenfurtner, K. R. (2002). The contributions of color to recognition memory for natural scenes. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28 (3), 509.Google Scholar
Williams, T. R., & Spyridakis, J. H. (1992). Visual discriminability of headings in text. IEEE Transactions on Professional Communication, 35 (2), 64–70. DOI logoGoogle Scholar
Worley, G. M. (1999). The effects of highlight color on immediate recall in subjects of different cognitive styles. International Journal of Instructional Media, 28 (2).Google Scholar
Zikmund-Fisher, B. J., Fagerlin, A., & Ubel, P. A. (2008). Improving understanding of adjuvant therapy options by using simpler risk graphics. Cancer, 113 (12), 3382–3390. DOI logoGoogle Scholar