Page 54 - 35-2
P. 54
The Bias Assimilation Effect and Attitude Polarization in AIoT Smart Healthcare Word-of-Mouth
Communication
Nuagah, S. J. 2022. Enabling artificial intelligence of things (AIoT) healthcare
architectures and listing security issues. Computational Intelligence and
Neuroscience, 2022 (1), Article 8421434. https://doi.org/10.1155/2022/8421434
Plude, D. J., Schwartz, L. K., and Murphy, L. J. 1996. Active selection and inhibition
in the aging of attention. In Blanchard-Fields, F., and Hess, T. M. (Eds.),
Perspectives on Cognitive Change in Adulthood and Aging: 165-191. New
York, NY: McGraw-Hill.
Rains, S. A., Kenski, K., Coe, K., and Harwood, J. 2017. Incivility and political identity on
the Internet: Intergroup factors as predictors of incivility in discussions of news
online. Journal of Computer-Mediated Communication, 22 (4): 163-178. https://
doi.org/10.1111/jcc4.12191
Rivera, Y. M., Moran, M. B., Thrul, J., Joshu, C., and Smith, K. C. 2022. Contextualizing
engagement with health information on Facebook: Using the social media con-
tent and context elicitation method. Journal of Medical Internet Research, 24 (3),
Article e25243. https://doi.org/10.2196/25243
Rogers, W. A., Mitzner, T. L., Boot, W. R., Charness, N. H., Czaja, S. J., and Sharit, J.
2017. Understanding individual and age-related differences in technology
adoption. Innovation in Aging, 1 (supplement 1), Article 1026. https://doi.
org/10.1093/geroni/igx004.3733
Rosenstock, I. M. 1990. The health belief model: Explaining health behavior through
expectancies. In Glanz, K., Lewis, F. M., and Rimer, B. K. (Eds.), Health
Behavior and Health Education: Theory, Research, and Practice: 39-62. San
Francisco, CA: Jossey-Bass, A Wiley Imprint.
Rudie, J. D., Rauschecker, A. M., Bryan, R. N., Davatzikos, C., and Mohan, S. 2019.
Emerging applications of artificial intelligence in neuro-oncology. Radiology,
290 (3): 607-618. https://doi.org/10.1148/radiol.2018181928
Rupp, M. A., Michaelis, J. R., McConnell, D. S., and Smither, J. A. 2018. The role
of individual differences on perceptions of wearable fitness device trust,
usability, and motivational impact. Applied Ergonomics, 70: 77-87. https://doi.
org/10.1016/j.apergo.2018.02.005
Sabbir, M., Taufique, K. M. R., and Nomi, M. 2021. Telemedicine acceptance during the
COVID-19 pandemic: User satisfaction and strategic healthcare marketing
considerations. Health Marketing Quarterly, 38 (2-3): 168-187. https://doi.org/1
46

