Website Designs for Communicating About Chemicals in Cigarette Smoke

References

• Family Smoking Prevention And Tobacco Control Act. (2009). 111th Congress of the United States of America. Pub. L. No. 111–31, 123 Stat. 1776, Washington, DC: U.S. Government Publishing Office.
   Google Scholar
• Alpay, L., Verhoef, J., Xie, B., Te’eni, D., & Zwetsloot-Schonk, J. (2009). Current challenge in consumer health informatics: Bridging the gap between access to information and information understanding. Biomedical Informatics Insights, 2, 1–10. doi:10.4137/BII.S2223
   PubMedGoogle Scholar
• Brewer, N. T., Gilkey, M. B., Lillie, S. E., Hesse, B. W., & Sheridan, S. L. (2012). Tables or bar graphs? Presenting test results in electronic medical records. Medical Decision Making, 32, 545–553. doi:10.1177/0272989X12441395
   PubMed Web of Science ®Google Scholar
• Brewer, N. T., Morgan, J. C., Baig, S. A., Mendel, J. R., Boynton, M. H., Pepper, J. K., ... & Ribisl, K. M. (2017). Public understanding of cigarette smoke constituents: three US surveys. Tobacco control, 26, 592–599. doi:10.1136/tobaccocontrol-2015-052897
   Google Scholar
• Brewer, N. T., Richman, A. R., DeFrank, J. T., Reyna, V. F., & Carey, L. A. (2012). Improving communication of breast cancer recurrence risk. Breast Cancer Research and Treatment, 133, 553–561. doi:10.1007/s10549-011-1791-9
   PubMed Web of Science ®Google Scholar
• Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s Mechanical Turk a new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6, 3–5. doi:10.1177/1745691610393980
   PubMed Web of Science ®Google Scholar
• Casler, K., Bickel, L., & Hackett, E. (2013). Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk, social media, and face-to-face behavioral testing. Computers in Human Behavior, 29, 2156–2160. doi:10.1016/j.chb.2013.05.009
   Web of Science ®Google Scholar
• Crump, M. J., McDonnell, J. V., & Gureckis, T. M. (2013). Evaluating Amazon's Mechanical Turk as a tool for experimental behavioral research. PLoS ONE, 8, e57410. doi:10.1371/journal.pone.0057410
   Google Scholar
• Dieckmann, N. F., Peters, E., Gregory, R., & Tusler, M. (2012). Making sense of uncertainty: Advantages and disadvantages of providing an evaluative structure. Journal of Risk Research, 15, 717–735. doi:10.1080/13669877.2012.666760
   Web of Science ®Google Scholar
• Eysenbach, G. (2000). Recent advances: Consumer health informatics. Bmj, 320, 1713–1716. doi:10.1136/bmj.320.7251.1713
   PubMed Web of Science ®Google Scholar
• Eysenbach, G. (2005). Design and evaluation of consumer health information web sites. In D. Lewis, G. Eysenbach, R. Kukafka, Z. Stavri, & H. Jimison (Eds.), Consumer health informatics: Informing consumers and improving health care (pp. 34–60). New York, NY: Springer.
   Google Scholar
• Fathelrahman, A. I., Omar, M., Awang, R., Cummings, K. M., Borland, R., & Samin, A. S. B. M. (2010). Impact of the new Malaysian cigarette pack warnings on smokers’ awareness of health risks and interest in quitting smoking. International Journal of Environmental Research and Public Health, 7, 4089–4099.
   PubMed Web of Science ®Google Scholar
• Goldberg, L., Lide, B., Lowry, S., Massett, H. A., O’Connell, T., Preece, J., … Shneiderman, B. (2011). Usability and accessibility in consumer health informatics: Current trends and future challenges. American Journal of Preventive Medicine, 40, S187–S197.
   PubMed Web of Science ®Google 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, 61, 173–190.
   PubMed Web of Science ®Google Scholar
• Hsee, C. K. (1996). The evaluability hypothesis: An explanation for preference reversals between joint and separate evaluations of alternatives. Organizational Behavior and Human Decision Processes, 67, 247–257.
   Web of Science ®Google Scholar
• Islam, M. N., & Bouwman, H. (2016). Towards user–Intuitive web interface sign design and evaluation: A semiotic framework. International Journal of Human-Computer Studies, 86, 121–137.
   Web of Science ®Google Scholar
• Katz, M. G., Kripalani, S., & Weiss, B. D. (2006). Use of pictorial aids in medication instructions: A review of the literature. American Journal of Health-System Pharmacy, 63, 2391–2397.
   PubMed Web of Science ®Google Scholar
• Keselman, A., Logan, R., Smith, C. A., Leroy, G., & Zeng-Treitler, Q. (2008). Developing informatics tools and strategies for consumer-centered health communication. Journal of the American Medical Informatics Association, 15, 473–483.
   PubMed Web of Science ®Google Scholar
• Lazard, A., & Atkinson, L. (2015). Putting environmental infographics center stage: The role of visuals at the Elaboration Likelihood Model’s critical point of persuasion. Science Communication, 37, 6–33.
   Web of Science ®Google Scholar
• Lazard, A., & Mackert, M. (2015). E-health first impressions and visual evaluations: Key design principles for attention and appeal. Communication Design Quarterly, 3, 25–34.
   Google Scholar
• Marian, C., O’Connor, R. J., Djordjevic, M. V., Rees, V. W., Hatsukami, D. K., & Shields, P. G. (2009). Reconciling human smoking behavior and machine smoking patterns: Implications for understanding smoking behavior and the impact on laboratory studies. Cancer Epidemiology and Prevention Biomarkers, 18, 3305–3320.
   PubMed Web of Science ®Google Scholar
• Peters, E., Dieckmann, N., Dixon, A., Hibbard, J. H., & Mertz, C. (2007). Less is more in presenting quality information to consumers. Medical Care Research and Review, 64, 169–190.
   PubMed Web of Science ®Google Scholar
• Peters, E., Dieckmann, N. F., Västfjäll, D., Mertz, C., Slovic, P., & Hibbard, J. H. (2009). Bringing meaning to numbers: The impact of evaluative categories on decisions. Journal of Experimental Psychology: Applied, 15, 213–227.
   PubMed Web of Science ®Google Scholar
• Portnoy, D. B. (2013). FDA Experimental study on the public display of lists of quantities of HPHCs: Analysis and results. Paper presented at the Risk Communication Advisory Committee & Tobacco Products Scientific Advisory Committee Joint Meeting, Silver Spring, MD.
   Google Scholar
• Ross, J., Irani, L., Silberman, M., Zaldivar, A., & Tomlinson, B. (2010). Who are the crowdworkers?: Shifting demographics in amazon mechanical turk. Paper presented at the ACM CHI Conference in 2010.
   Google Scholar
• Rothman, A., & Kiviniemi, M. T. (1999). Treatin8hjjg people with information: An analysis and review of approaches to communicating health risk information. Journal of the National Cancer Institute Monographs, 25, 44–51.
   PubMedGoogle Scholar
• United States Department of Health Human Services. (2014). The health consequences of smoking—50 years of progress: A report of the Surgeon General. Atlanta, GA.
   Google Scholar
• United States Food and Drug Administration. (2012a). Guidance for industry: Reporting harmful and potentially harmful constituents in tobacco products and tobacco smoke under Section 904(a)(3) of the Federal Food, Drug, and Cosmetic Act, Draft Guidance. Rockville, MD: Food and Drug Administration.
   Google Scholar
• United States Food and Drug Administration. (2012b). Guidance for industry: Reporting harmful and potentially harmful constituents in tobacco products and tobacco smoke under Section 904(a)(3) of the Federal Food, Drug, and Cosmetic Act, Draft Guidance. 77 Fed. Reg. 20034. Rockville, MD: Food and Drug Administration.
   Google Scholar
• Yang, T., Linder, J., & Bolchini, D. (2012). DEEP: Design-oriented evaluation of perceived usability. International Journal of Human-Computer Interaction, 28, 308–346.
   Web of Science ®Google Scholar