Publications

Publications

Google Scholar
ResearchGate

Selected Peer-Reviewed Journal Articles

  1. Chin, J.*, Desai, S*., Lin, S., & Mejía S. (2024). Like My Aunt Dorothy: Effects of Conversational Styles on Perceptions, Acceptance and Metaphorical Descriptions of Voice Assistants during Later Adulthood. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 1-21. https://doi.org/10.1145/3637365.
  2. Bak, M. & Chin, J. (2024). The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae057
  3. Bak, M., Chiu, C., Chin, J. (2023). Mental Health Pandemic during the COVID-19 Outbreak: Social Media as a Window to Public Mental Health. Cyberpsychology, Behavior, and Social Networking, 26(5), 346-356. PMID: 37057976. https://doi.org/10.1089/cyber.2022.0116
  4. Rodon, C., Chin, J., & Chevalier, J. (2022). Assessing Covid-19 Health literacy (CoHL) and its relationships with socio-demographic features, locus of control and compliance with social distancing rules during the first lockdown in France. Health Education Research, 37(3), 143-154. https://doi.org/10.1093/her/cyac009
  5. Tomaszewski, T., Morales, A., Lourentzou, I., Caskey, R., Liu, B., Schwartz, A., & Chin, J. (2021). Identifying the false human papillomavirus vaccine information and corresponding risk perceptions from Twitter using advanced predicted models. Journal of Medical Internet Research, 23(9), e30451. https://doi.org/10.2196/30451, PMID:34499043
  6. Chin, J., Wang, H., Awwad, A. W., Graumlich, J. F., Wolf, M. S., & Morrow, D. G. (2021). Health literacy, processing capacity, illness knowledge and actionable memory for medication taking in type 2 diabetes: cross-sectional analysis. Journal of General Internal Medicine, 36, 1921-1927. https://doi.org/10.1007/s11606-020-06472-z
  7. Chin, J., Moller, D. D., Johnson, J., Duwe, E., Graumlich, J. F., Murray, M. D. & Morrow, D.G. (2018). A multi-faceted approach to promote comprehension of online health information among older adults. The Gerontologist, 58(4), 686-695. https://doi.org/10.1093/geront/gnw254
  8. Chin, J., Madison, A., Gao, X., Graumlich, J. F., Conner-Garcia, T., Murray, M. D., Stine-Morrow, E. A. L. & Morrow, D. G. (2017). Cognition and health literacy in older adults’ recall of self-care information. The Gerontologist, 57(2), 261-268.  https://doi.org/10.1093/geront/gnv091
  9. Liu, X., Chin, J., Payne, B. R., Fu, W-T., Morrow, D. G., Stine-Morrow, E. A. L. (2016). Adult age differences in information foraging in an interactive reading environment. Psychology and Aging, 31(3), 211-223. https://doi.org/10.1037/pag0000079
  10. Chin, J., Payne, B., Fu, W-T., Morrow, D. G. & Stine-Morrow, E. A. L. (2015). Information foraging across the life span: Search and switch in unknown patches. Topics in Cognitive Science, 7(3), 428-450. https://doi.org/10.1111/tops.12147
  11. Chin, J., Payne, B., Gao, X., Conner-Garcia, T., Graumlich, J., Murray, M. D., Morrow, D. G. & Stine-Morrow, E. A. L. (2015). Memory and comprehension for health information among older adults: Distinguishing the effects of domain-general and domain-specific knowledge. Memory, 23, 577-589. https://doi.org/10.1080/09658211.2014.912331
  12. Chin, J., Morrow, D. G., Stine-Morrow, E. A. L., Conner-Garcia, T., Graumlich, J. F. & Murray, M. D. (2011). The process-knowledge model of health literacy: Evidence from a componential analysis of two commonly used measures. Journal of Health Communication, 16 (Suppl3), 222-241. https://doi.org/10.1080/10810730.2011.604702

Selected Peer-Reviewed Conference Proceedings

  1. Desai, S., Hu, X., Lundy, M. & Chin, J. (2023). Using Experience-Based Participatory Approach to Design Interactive Voice User Interfaces for Delivering Physical Activity Programs with Older Adults. Proceedings of the 11th International Conference on Human-Agent Interaction (HAI 2023), Gothenburg, Sweden. https://doi.org/10.1145/3623809.3623827
  2. Bak, M., Chin, C. L., & Chin, J. (2023). Use of Health Belief Model-based Deep Learning to Understand Public Health Beliefs in Breast Cancer Screening from Social Media before and during the COVID-19 Pandemic. In AMIA Annual Symposium Proceedings(Vol. 2023, p. 280-288). American Medical Informatics Association. PMID: 38222395; PMCID: PMC10785880.
  3. Desai, S., Lundy, M., Chin, J. (2023). “A painless way to learn:” Designing an interactive storytelling voice user interface to support older adults’ informal health information learning needs. Proceedings of the 5th ACM Conference on Conversational User Interfaces CUI’23, Eindhoven, Netherlands. https://doi.org/10.1145/3571884.3597141
  4. Desai, S., Chin, J. (2023). OK Google, Let’s Learn: Using Voice User Interfaces for Informal Self-Regulated Learning of Health Topics among Younger and Older Adults. In Proceedings of the 41st ACM Conference on Human Factors in Computing Systems CHI’23 (Article 847, pp.1-21). New York, NY: ACM Press. https://doi.org/10.1145/3544548.3581507
  5. Chin, J.* & Desai, S.* (2021). Being a Nice Partner: The Effects of Age and Interaction Types on the Perceived Social Abilities of Conversational Agents. TMS (American Psychological Association’s Conference on Technology, Mind, & Society) Proceedings 2021. https://doi.org/10.1037/tms0000027
  6. Desai, S., & Chin, J. (2020). An Explorative Analysis of the Feasibility of Implementing Metacognitive Strategies in Self-Regulated Learning with the Conversational Agents. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1), 495–499. https://doi.org/10.1177/1071181320641112
  7. Chin, J. & Stine-Morrow, E. A. L. (2016). What makes you feel you are learning: Cues to self-regulated learning. In A. Papafragou, D. Grodner, D. Mirman, J. C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society(pp. 538-543). Austin, TX: Cognitive Science Society.
  8. Chin, J., Anderson, E., Chin, C-L. & Fu, W-T. (2015). Age differences in information search: An exploration-exploitation tradeoff model. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 59(1), 85-89. https://doi.org/10.1177/1541931215591018
  9. Yamani, Y., Chin, J., Meyers, E. A. G., Gao, X., Morrow, D. G., Stine-Morrow, E. A. L., Conner-Garcia, T., Graumlich, J. F. & Murray, M. D. (2012). Reading engagement offsets declines in processing capacity for health literacy. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 56(1), 916-920. https://doi.org/10.1177/1071181312561191
  10. Chin, J. & Fu, W-T. (2012). Age differences in exploratory learning from a health information website. In Proceedings of the 30th ACM Conference on Human Factors in Computing Systems CHI’12 (pp. 3031-3040). New York, NY: ACM Press. https://doi.org/10.1145/2207676.2208715 
  11. Chin, J. & Fu, W-T. (2010). Interactive effects of age and interface differences on search strategies and performance. In Proceedings of the 28th ACM Conference on Human Factors in Computing Systems CHI’10 (pp.403-412). New York, NY: ACM Press. https://doi.org/10.1145/1753326.1753387
  12. Chin, J., D’Andrea, L., Morrow, D. G., Stine-Morrow, E. A. L., Conner-Garcia, T., Graumlich, J. F. & Murray, M. D. (2009). Cognition and illness experience are associated with illness knowledge among older adults with hypertension. In Proceedings of Human Factors and Ergonomics Society Annual Meeting, 53(2), 116-120. https://doi.org/https://doi.org/1177/154193120905300202
  13. Chin, J., Fu, W-T. & Kannampallil, T. (2009). Adaptive information search: Age-dependent interactions between cognitive profiles and strategies. In Proceedings of the 27th ACM Conference on Human Factors in Computing Systems CHI’09 (pp.1683-1692). New York, NY: ACM Press. https://doi.org/10.1145/1518701.1518961

Book Chapters

  1. Morrow, D. G. & Chin, J. (2012). Technology as a bridge between health care systems and older adults. In R. Z. Zheng, R. Hills & M. Gardner (Eds.), Engaging Older Adults with Modern Technology: Internet Use and Information Access Needs (pp.59-79). Hershey, PA: IGI Global. https://doi.org/10.4018/978-1-4666-1966-1.ch004
  2. Fu, W-T., Chin, J., Dong, W. & Liao, Q. V. (2012). Interactive skills and dual learning processes. In N. M. Seel (Ed.), Encyclopedia of the Sciences of Learning (pp.1612-1615). New York, NY: Springer Press.
  3. Morrow, D. & Chin, J. (2015). Decision making and health literacy among older adults. In T. Hess, J. Strough, & C. Löckenhoff (Eds.), Aging and Decision Making: Empirical and Applied Perspectives (pp.261-282). New York, NY: Elsevier Academic Press. https://doi.org/10.1016/b978-0-12-417148-0.00013-3
  4. Fu, W-T., Chin, J. & Liao, Q. (2018). The Central Role of Cognitive Computations in Human-Information Interaction. In A. Oulasvirta, P. O. Kristensson, X. Bi, & A. Howes (Eds.), Computational Interaction (pp.363-376). Oxford, UK: Oxford University Press.
  5. Chin, J. & Burns, C. (2021). Health Promotion: Patient Self-Management, Cognitive Work Analysis and Persuasive Design. In R. J. Holden, & R. S. Valdez (Eds.), The Patient Factors: Applications of Patient Ergonomics (Volume 2)(pp.187-203). Boca Raton, FL: CRC Press.
  6. Morrow, D. & Chin, J. (2022). A Process-Knowledge Approach to Supporting Self-care among Older Adults. In K.D. Federmeirer & B. Payne (Eds.), Psychology of Learning and Motivation Vol 77: Cognitive Aging (Chapter 5, pp165-191). https://doi.org/10.1016/bs.plm.2022.07.003