Published on in Vol 3, No 1 (2016): Jan-Jun

Effects of Information Visualization on Older Adults’ Decision-Making Performance in a Medicare Plan Selection Task: A Comparative Usability Study

Effects of Information Visualization on Older Adults’ Decision-Making Performance in a Medicare Plan Selection Task: A Comparative Usability Study

Effects of Information Visualization on Older Adults’ Decision-Making Performance in a Medicare Plan Selection Task: A Comparative Usability Study

Journals

  1. Wildenbos G, Jaspers M, Schijven M, Dusseljee- Peute L. Mobile health for older adult patients: Using an aging barriers framework to classify usability problems. International Journal of Medical Informatics 2019;124:68 View
  2. Roosan D, Li Y, Law A, Truong H, Karim M, Chok J, Roosan M. Improving Medication Information Presentation Through Interactive Visualization in Mobile Apps: Human Factors Design. JMIR mHealth and uHealth 2019;7(11):e15940 View
  3. Hilfiker S, Santana S, Freedman M, Harris L. There’s a gap between digital health information and users — let’s close it. Information Services and Use 2019;39(1-2):15 View
  4. Fan M, Wang Y, Xie Y, Li F, Chen C. Understanding How Older Adults Comprehend COVID-19 Interactive Visualizations via Think-Aloud Protocol. International Journal of Human–Computer Interaction 2023;39(8):1626 View
  5. Franconeri S, Padilla L, Shah P, Zacks J, Hullman J. The Science of Visual Data Communication: What Works. Psychological Science in the Public Interest 2021;22(3):110 View
  6. Ahmad N, Mat Ludin A, Shahar S, Mohd Noah S, Mohd Tohit N. Willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review. BMJ Open 2022;12(3):e054561 View
  7. While Z, Crouser R, Sarvghad A. GerontoVis: Data Visualization at the Confluence of Aging. Computer Graphics Forum 2024;43(3) View
  8. Zheng Z, B.A.M H, Omar Zaki H, Tan Q. A scoping review of the impact of ageing on individual consumers' insurance purchase intentions. Heliyon 2024;10(18):e37501 View
  9. Ma Z, Gao Q, Yang M. Making sense of health data of wearables: designing information displays for older wearable users. Universal Access in the Information Society 2025;24(2):1545 View
  10. Zheng Z, B.A.M H, Zaki H, Tan Q. Mapping the Insurance Purchasing Research: A Bibliometric Analysis. Journal of the Knowledge Economy 2025 View
  11. Brockbank E, Verma A, Lloyd H, Huey H, Padilla L, Fan J. Evaluating convergence between two data visualization literacy assessments. Cognitive Research: Principles and Implications 2025;10(1) View
  12. Lee H, Mudar R, Rogers W. Understanding Medicare-related decision-making by older adults: Role of technology support. Human Factors in Healthcare 2025;7:100104 View

Books/Policy Documents

  1. Nuamah J, Mehta R. Neuroergonomics. View
  2. Bosetti G, Firmenich S, Winckler M, Rossi G, Fandos U, Egyed-Zsigmond E. Web Engineering. View

Conference Proceedings

  1. While Z, Blascheck T, Gong Y, Isenberg P, Sarvghad A. Proceedings of the CHI Conference on Human Factors in Computing Systems. Glanceable Data Visualizations for Older Adults: Establishing Thresholds and Examining Disparities Between Age Groups View
  2. Knoll C, Möller T, Gregory K, Koesten L. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. The Gulf of Interpretation: From Chart to Message and Back Again View
  3. While Z, Sarvghad A. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Toward Filling a Critical Knowledge Gap: Charting the Interactions of Age with Task and Visualization View