1887
Volume 28, Issue 2
  • ISSN 0142-5471
  • E-ISSN: 1569-979X
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Abstract

Abstract

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.

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/content/journals/10.1075/idj.23006.bax
2023-08-31
2024-07-23
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References

  1. 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. 10.2196/32425
    https://doi.org/10.2196/32425 [Google Scholar]
  2. 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. 10.1177/0018720812452592
    https://doi.org/10.1177/0018720812452592 [Google Scholar]
  3. 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. 10.1002/jac5.1386
    https://doi.org/10.1002/jac5.1386 [Google Scholar]
  4. 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.
    [Google Scholar]
  5. 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. 10.1075/idj.20017.bax
    https://doi.org/10.1075/idj.20017.bax [Google Scholar]
  6. 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. 10.1016/S1071‑5819(03)00121‑6
    https://doi.org/10.1016/S1071-5819(03)00121-6 [Google Scholar]
  7. 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. 10.1177/074391568600500101
    https://doi.org/10.1177/074391568600500101 [Google Scholar]
  8. 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, 10.14236/ewic/HCI2008.23
    https://doi.org/10.14236/ewic/HCI2008.23 [Google Scholar]
  9. BHF
    BHF (2021) Heart attack. Retrieved1 October 2021fromhttps://www.bhf.org.uk/informationsupport/conditions/heart-attack
    [Google Scholar]
  10. Brame, C. J.
    (2016) Effective educational videos: Principles and guidelines for maximizing student learning from video content. CBE – Life Sciences Education, 15x)(4). 10.1187/cbe.16‑03‑0125
    https://doi.org/10.1187/cbe.16-03-0125 [Google Scholar]
  11. Buchner, A., & Baumgartner, N.
    (2007) Text–background polarity affects performance irrespective of ambient illumination and colour contrast. Ergonomics, 50(7), 1036–1063. 10.1080/00140130701306413
    https://doi.org/10.1080/00140130701306413 [Google Scholar]
  12. 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. 10.1111/anae.15057
    https://doi.org/10.1111/anae.15057 [Google Scholar]
  13. 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. 10.1038/s41598‑020‑73510‑5
    https://doi.org/10.1038/s41598-020-73510-5 [Google Scholar]
  14. Crutcher, M., & Seidler, P. M.
    (2021) Maximizing Completion of the Two-Dose COVID-19 Vaccine Series with Aid from Infographics. Vaccines, 9(11), 1229. 10.3390/vaccines9111229
    https://doi.org/10.3390/vaccines9111229 [Google Scholar]
  15. Domgaard, S., & Park, M.
    (2021) Combating misinformation: The effects of infographics in verifying false vaccine news. Health Education Journal, 80x)(8), 974–986. 10.1177/00178969211038750
    https://doi.org/10.1177/00178969211038750 [Google Scholar]
  16. Dowse, R., & Ehlers, M.
    (2005) Medicine labels incorporating pictograms: do they influence understanding and adherence?Patient education and counseling, 58(1), 63–70. 10.1016/j.pec.2004.06.012
    https://doi.org/10.1016/j.pec.2004.06.012 [Google Scholar]
  17. 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. 10.1080/1051144X.2016.1205832
    https://doi.org/10.1080/1051144X.2016.1205832 [Google Scholar]
  18. 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. 10.1080/00223980.1991.10543330
    https://doi.org/10.1080/00223980.1991.10543330 [Google Scholar]
  19. Greenhalgh, T., Sivan, M., Delaney, B., Evans, R., & Milne, R.
    (2022) Long covid – an update for primary care. BMJ, 378x)1, e072117. 10.1136/bmj‑2022‑072117
    https://doi.org/10.1136/bmj-2022-072117 [Google Scholar]
  20. 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]
  21. 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. 10.1186/s12889‑021‑10356‑0
    https://doi.org/10.1186/s12889-021-10356-0 [Google Scholar]
  22. 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. 10.1080/00223980.1976.9921410
    https://doi.org/10.1080/00223980.1976.9921410 [Google Scholar]
  23. Galitz, W. O.
    (2007) The essential guide to user interface design: an introduction to GUI design principles and techniques. John Wiley & Sons.
    [Google Scholar]
  24. Gelman, A., & Unwin, A.
    (2013) Infovis and statistical graphics: different goals, different looks. Journal of Computational and Graphical Statistics, 22(1), 2–28. 10.1080/10618600.2012.761137
    https://doi.org/10.1080/10618600.2012.761137 [Google Scholar]
  25. Gillan, D. J., & Richman, E. H.
    (1994) Minimalism and the syntax of graphs. Human Factors, 36(4), 619–644. 10.1177/001872089403600405
    https://doi.org/10.1177/001872089403600405 [Google Scholar]
  26. Gkogka, E.
    (2018) Gestalt principles in UI design. Retrieved12 Decemberfromhttps://medium.muz.li/gestalt-principles-in-ui-design-6b75a41e9965
    [Google Scholar]
  27. Graham, L.
    (2008) Gestalt theory in interactive media design. Journal of Humanities & Social Sciences, 2(1).
    [Google Scholar]
  28. 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. 10.1080/01449290410001669932
    https://doi.org/10.1080/01449290410001669932 [Google Scholar]
  29. 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. 10.1093/pubmed/fdaa080
    https://doi.org/10.1093/pubmed/fdaa080 [Google Scholar]
  30. 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. 10.12973/eu‑jer.8.4.1245
    https://doi.org/10.12973/eu-jer.8.4.1245 [Google Scholar]
  31. 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. 10.1145/2702123.2702545
    https://doi.org/10.1145/2702123.2702545 [Google Scholar]
  32. 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. 10.1016/j.pec.2008.07.023
    https://doi.org/10.1016/j.pec.2008.07.023 [Google Scholar]
  33. 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. 10.1080/0142159X.2020.1855323
    https://doi.org/10.1080/0142159X.2020.1855323 [Google Scholar]
  34. Höffler, T. N., & Leutner, D.
    (2007) Instructional animation versus static pictures: A meta-analysis. Learning and instruction, 17x)(6), 722–738. 10.1016/j.learninstruc.2007.09.013
    https://doi.org/10.1016/j.learninstruc.2007.09.013 [Google Scholar]
  35. Hick, W. E.
    (1952) On the rate of gain of information. Quarterly Journal of experimental psychology, 4(1), 11–26. 10.1080/17470215208416600
    https://doi.org/10.1080/17470215208416600 [Google Scholar]
  36. 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. 10.1093/intqhc/mzr072
    https://doi.org/10.1093/intqhc/mzr072 [Google Scholar]
  37. 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. 10.1016/j.pec.2005.05.004
    https://doi.org/10.1016/j.pec.2005.05.004 [Google Scholar]
  38. Hsueh, C.-H., Chou, J.-K., & Ma, K.-L.
    (2016) A Study of using motion for comparative visualization. 2016 IEEE Pacific Visualization Symposium (PacificVis). 10.1109/PACIFICVIS.2016.7465274
    https://doi.org/10.1109/PACIFICVIS.2016.7465274 [Google Scholar]
  39. 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. 10.1017/cem.2018.436
    https://doi.org/10.1017/cem.2018.436 [Google Scholar]
  40. 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. 10.1016/j.learninstruc.2004.01.001
    https://doi.org/10.1016/j.learninstruc.2004.01.001 [Google Scholar]
  41. Jamet, E.
    (2014) An eye-tracking study of cueing effects in multimedia learning. Computers in Human Behavior, 321, 47–53. 10.1016/j.chb.2013.11.013
    https://doi.org/10.1016/j.chb.2013.11.013 [Google Scholar]
  42. Jin, S. -H.
    (2013) Visual design guidelines for improving learning from dynamic and interactive digital text. Computers & Education, 631, 248–258. 10.1016/j.compedu.2012.12.010
    https://doi.org/10.1016/j.compedu.2012.12.010 [Google Scholar]
  43. 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. 10.1016/j.chb.2005.01.006
    https://doi.org/10.1016/j.chb.2005.01.006 [Google Scholar]
  44. Kim, D. -Y.
    (2010) The interactive effects of colors on visual attention and working memory: In case of images of tourist attractionsInternational CHRIE Conference-Refereed Track. 1,
    [Google Scholar]
  45. 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. 10.1016/j.pec.2021.09.006
    https://doi.org/10.1016/j.pec.2021.09.006 [Google Scholar]
  46. 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. 10.1177/1075547020959670
    https://doi.org/10.1177/1075547020959670 [Google Scholar]
  47. 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. 10.1177/0165551508089719
    https://doi.org/10.1177/0165551508089719 [Google Scholar]
  48. 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). 10.7759/cureus.7255
    https://doi.org/10.7759/cureus.7255 [Google Scholar]
  49. 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. 10.1016/j.pec.2007.01.020
    https://doi.org/10.1016/j.pec.2007.01.020 [Google Scholar]
  50. 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. 10.1016/j.arthro.2021.03.056
    https://doi.org/10.1016/j.arthro.2021.03.056 [Google Scholar]
  51. 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. 10.2196/29689
    https://doi.org/10.2196/29689 [Google Scholar]
  52. Ling, J., & Van Schaik, P.
    (2002) The effect of text and background colour on visual search of Web pages. Displays, 23(5), 223–230. 10.1016/S0141‑9382(02)00041‑0
    https://doi.org/10.1016/S0141-9382(02)00041-0 [Google Scholar]
  53. (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. 10.1016/j.ijhcs.2005.08.015
    https://doi.org/10.1016/j.ijhcs.2005.08.015 [Google Scholar]
  54. Lonsdale, M.
    (2014) Typographic features of text. Outcomes from research and practice. Visible Language, 48(3), 29–67.
    [Google Scholar]
  55. 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]
  56. Lonsdale, M., & Lonsdale, D. [Google Scholar]
  57. 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]
  58. Lonsdale, M., Ni, L.-C., Twiddy, M., & Gu, C.
    (2020) Information design for bowel cancer detection. The impact of using information visualization to help patients prepare for colonoscopy screening, using a booklet, a motion graphics and an App. Information Design Journal, 25x)(2), 125–156. 10.1075/idj.25.2.01lon
    https://doi.org/10.1075/idj.25.2.01lon [Google Scholar]
  59. 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. 10.1038/s41562‑021‑01056‑1
    https://doi.org/10.1038/s41562-021-01056-1 [Google Scholar]
  60. 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. 10.1080/08870446.2020.1849701
    https://doi.org/10.1080/08870446.2020.1849701 [Google Scholar]
  61. Macaya, M., & Perea, M.
    (2014) Does bold emphasis facilitate the process of visual-word recognition?The Spanish journal of psychology, 17(3).
    [Google Scholar]
  62. Mackiewicz, J.
    (2009) The Newest Tool for Technical Communicators – Redux. Technical Communication, 56(1), 3–13.
    [Google Scholar]
  63. 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. 10.1177/1473871617701971
    https://doi.org/10.1177/1473871617701971 [Google Scholar]
  64. Mansoor, L. E., & Dowse, R.
    (2003) Effect of pictograms on readability of patient information materials. Annals of Pharmacotherapy, 37(7–8), 1003–1009. 10.1345/aph.1C449
    https://doi.org/10.1345/aph.1C449 [Google Scholar]
  65. 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. 10.1016/j.hpe.2018.03.005
    https://doi.org/10.1016/j.hpe.2018.03.005 [Google Scholar]
  66. Mautone, P. D., & Mayer, R. E.
    (2001) Signaling as a cognitive guide in multimedia learning. Journal of educational Psychology, 93(2), 377. 10.1037/0022‑0663.93.2.377
    https://doi.org/10.1037/0022-0663.93.2.377 [Google Scholar]
  67. Mayer, R. E.
    (2009) Multimedia Learning (2nd ed.). Cambridge University Press. 10.1017/CBO9780511811678
    https://doi.org/10.1017/CBO9780511811678 [Google Scholar]
  68. Mayer, R. E., & Moreno, R.
    (2003) Nine ways to reduce cognitive load in multimedia learning. Educational psychologist, 38x)(1), 43–52. 10.1207/S15326985EP3801_6
    https://doi.org/10.1207/S15326985EP3801_6 [Google Scholar]
  69. MayoClinic
    MayoClinic (2021) Heart Attack. Retrieved1 October 2021fromhttps://www.mayoclinic.org/diseases-conditions/heart-attack/symptoms-causes/syc-20373106
    [Google Scholar]
  70. McCready
    (2016) 6 Ways to Use Infographic Icons Like a Pro. Retrieved17 Aprilfromhttps://venngage.com/blog/infographic-design-6-ways-to-use-icons/
    [Google Scholar]
  71. Mian, A., & Khan, S.
    (2020) Coronavirus: the spread of misinformation. BMC medicine, 18x)1, 1–2. 10.1186/s12916‑020‑01556‑3
    https://doi.org/10.1186/s12916-020-01556-3 [Google Scholar]
  72. 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. 10.1037/h0043158
    https://doi.org/10.1037/h0043158 [Google Scholar]
  73. Mollerup, P.
    (2015) Data design: visualising quantities, locations, connections. Bloomsbury Publishing.
    [Google Scholar]
  74. 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. 10.1080/00913367.2005.10639189
    https://doi.org/10.1080/00913367.2005.10639189 [Google Scholar]
  75. 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.
    [Google Scholar]
  76. NHS
    NHS (2020) COVID-19 research briefing infographic. Retrieved12 Aprilfromhttps://www.birmingham.ac.uk/university/colleges/mds/coronavirus/covid-19-research-briefing.aspx
    [Google Scholar]
  77. NHS [Google Scholar]
  78. 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. 10.1016/j.cola.2019.04.006
    https://doi.org/10.1016/j.cola.2019.04.006 [Google Scholar]
  79. 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. 10.1016/j.chb.2009.09.001
    https://doi.org/10.1016/j.chb.2009.09.001 [Google Scholar]
  80. 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. 10.1016/j.compedu.2009.03.002
    https://doi.org/10.1016/j.compedu.2009.03.002 [Google Scholar]
  81. 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.
    [Google Scholar]
  82. 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. 10.1080/2331205X.2016.1264679
    https://doi.org/10.1080/2331205X.2016.1264679 [Google Scholar]
  83. 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, 421, 42–58. 10.1016/j.cag.2014.03.002
    https://doi.org/10.1016/j.cag.2014.03.002 [Google Scholar]
  84. Pelli, D. G., Burns, C. W., Farell, B., & Moore-Page, D. C.
    (2006) Feature detection and letter identification. Vision research, 46(28), 4646–4674. 10.1016/j.visres.2006.04.023
    https://doi.org/10.1016/j.visres.2006.04.023 [Google Scholar]
  85. Poulton, E.
    (1972) Size, style, and vertical spacing in the legibility of small typefaces. Journal of Applied Psychology, 56(2), 156. 10.1037/h0032670
    https://doi.org/10.1037/h0032670 [Google Scholar]
  86. 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. 10.1080/0144929X.2016.1158318
    https://doi.org/10.1080/0144929X.2016.1158318 [Google Scholar]
  87. Richter, J., Scheiter, K., & Eitel, A.
    (2016) Signaling text-picture relations in multimedia learning: A comprehensive meta-analysis. Educational Research Review, 171, 19–36. 10.1016/j.edurev.2015.12.003
    https://doi.org/10.1016/j.edurev.2015.12.003 [Google Scholar]
  88. 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. 10.1016/j.japh.2021.08.016
    https://doi.org/10.1016/j.japh.2021.08.016 [Google Scholar]
  89. Schaie, K. W., & Heiss, R.
    (1964) Color and personality. Grune & Stratton.
    [Google Scholar]
  90. Schindler, P. S.
    (1986) Color and contrast in magazine advertising. Psychology & Marketing, 3(2), 69–78. 10.1002/mar.4220030203
    https://doi.org/10.1002/mar.4220030203 [Google Scholar]
  91. 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. 10.1136/bjsports‑2016‑096133
    https://doi.org/10.1136/bjsports-2016-096133 [Google Scholar]
  92. Scott, H., Fawkner, S., Oliver, C. W., & Murray, A.
    (2017) How to make an engaging infographic?British Journal of Sports Medicine, 511, 1183–1184. 10.1136/bjsports‑2016‑097023
    https://doi.org/10.1136/bjsports-2016-097023 [Google Scholar]
  93. 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. 10.1080/10447318.2014.959103
    https://doi.org/10.1080/10447318.2014.959103 [Google Scholar]
  94. 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. 10.1111/cgf.12634
    https://doi.org/10.1111/cgf.12634 [Google Scholar]
  95. 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. 10.1213/01.ANE.0000153010.49776.E5
    https://doi.org/10.1213/01.ANE.0000153010.49776.E5 [Google Scholar]
  96. Spence, I.
    (2005) No humble pie: The origins and usage of a statistical chart. Journal of Educational and Behavioral Statistics, 30(4), 353–368. 10.3102/10769986030004353
    https://doi.org/10.3102/10769986030004353 [Google Scholar]
  97. Spence, I., Wong, P., Rusan, M., & Rastegar, N.
    (2006) How color enhances visual memory for natural scenes. Psychological Science, 17(1), 1–6. 10.1111/j.1467‑9280.2005.01656.x
    https://doi.org/10.1111/j.1467-9280.2005.01656.x [Google Scholar]
  98. StatisticsCanada
    StatisticsCanada (2019) Firearm-related violent crime in CanadaRetrieved25 November 2018fromhttps://www.statcan.gc.ca/eng/subjects-start/crime_and_justice
    [Google Scholar]
  99. 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. 10.1080/09540121.2021.1883517
    https://doi.org/10.1080/09540121.2021.1883517 [Google Scholar]
  100. 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. 10.1055/s‑0039‑1694001
    https://doi.org/10.1055/s-0039-1694001 [Google Scholar]
  101. Stone, M.
    (2006) Choosing colors for data visualization. Business Intelligence Network, 21.
    [Google Scholar]
  102. Stones, C., & Gent, M. [Google Scholar]
  103. (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]
  104. [Google Scholar]
  105. Tetlan, L., & Marschalek, D.
    (2016) How Humans Process Visual Information: A focused primer for designing information. Visible Language, 50(3), 65–88.
    [Google Scholar]
  106. Tijus, C., Barcenilla, J., De Lavalette, B. C., & Meunier, J. -G.
    (2007) The design, understanding and usage of pictograms. InWritten documents in the workplace (pp.17–31). Brill. 10.1163/9789004253254_003
    https://doi.org/10.1163/9789004253254_003 [Google Scholar]
  107. Tinker, M. A.
    (1965) Bases for effective reading. University of Minnesota Press.
    [Google Scholar]
  108. Tractinsky, N., Katz, A. S., & Ikar, D.
    (2000) What is beautiful is usable. Interacting with computers, 13(2), 127–145. 10.1016/S0953‑5438(00)00031‑X
    https://doi.org/10.1016/S0953-5438(00)00031-X [Google Scholar]
  109. Vraga, E. K., & Bode, L.
    (2021) Addressing COVID-19 misinformation on social media preemptively and responsively. Emerging infectious diseases, 27x)(2), 396. 10.3201/eid2702.203139
    https://doi.org/10.3201/eid2702.203139 [Google Scholar]
  110. 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. 10.1145/3290605.3300483
    https://doi.org/10.1145/3290605.3300483 [Google Scholar]
  111. WHO
    WHO (2023) Avoid the Three C’s infographic. Retrieved12 Aprilfromhttps://www.who.int/brunei/news/infographics---english
    [Google Scholar]
  112. 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. 10.3991/ijet.v13i02.7830
    https://doi.org/10.3991/ijet.v13i02.7830 [Google Scholar]
  113. 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]
  114. Williams, T. R., & Spyridakis, J. H.
    (1992) Visual discriminability of headings in text. IEEE Transactions on Professional Communication, 35(2), 64–70. 10.1109/47.144865
    https://doi.org/10.1109/47.144865 [Google Scholar]
  115. 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]
  116. 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. 10.1002/cncr.23959
    https://doi.org/10.1002/cncr.23959 [Google Scholar]
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