Publications

Google Scholar Profile

Selected Publications and Presentations

  1. Cha, J. S., Athanasiadis, D. I., Asadi, H., Stefanidis, D., Nussbaum, M., Yu, D. (2024) Evaluation of Passive Arm-Support Exoskeleton in Surgery for Surgical Team Members. Journal of Safety Research, https://doi.org/10.1016/j.jsr.2024.02.003
  2. Dong, M., Lee, Y., Cha, J. S., Huang, G. (2024) Drinking and Driving: A Systematic Review of the Impacts of Alcohol Consumption on Manual and Automated Driving Performance. Journal of Safety Research, https://doi.org/10.1016/j.jsr.2024.01.006
  3. Raghuraman, R. N., Upasani, S., Gonzales, A.*, Aviles, J., Cha, J., & Srinivasan, D. (2023). Manufacturing Industry Stakeholder Perspectives on Occupational Exoskeletons: Changes After a Brief Exposure to Exoskeletons. IISE Transactions on Occupational Ergonomics and Human Factors, 1-8. https://doi.org/10.1080/24725838.2023.2262480
  4. Gonzales, A.*, Barbieri, D., Carbonell, A., Joseph, A., Srinivasan, D., Cha, J. Acceptance of Exoskeletons in Intraoperative Environments: A Qualitative Analysis of Surgical Teams’ Perspectives. Ergonomics. 1-28. https://doi.org/10.1080/00140139.2023.2240045
  5. Anton, N. E., Cha, J. S., Hernandez, E., Athanasiadis, D. I., Yang, J., Zhou, G., Stefanidis, D., & Yu, D. (2023). Utilizing eye tracking to assess medical student non-technical performance during scenario-based simulation: results of a pilot study. Global Surgical Education-Journal of the Association for Surgical Education, 2(1), 1-6. https://doi.org/10.1007/s44186-023-00127-3
  6. Cha, J. S., Ausri, F., Mudge, L., & Yu, D. (2022). Effectiveness of smart wrist wearables for distinguishing physical and cognitive demands. IISE Transactions on Healthcare Systems Engineering, 1-11. https://doi.org/10.1080/24725579.2022.2142867
  7. Gonzales, A.*, Lin, J. H., & Cha, J. S. (2022). Physical activity changes among office workers during the COVID-19 pandemic lockdown and the agreement between objective and subjective physical activity metrics. Applied Ergonomics, 105, 103845. https://doi.org/10.1016/j.apergo.2022.103845
  8. Cha, J. S., Athanasiadis, D. I., Peng, Y., Wu, D., Anton, N. E., Stefanidis, D., & Yu, D. (2022). Objective Nontechnical Skills Measurement Using Sensor-based Behavior Metrics in Surgical Teams. Human Factors, 00187208221101292. https://doi.org/10.1177/001872082211012
  9. Cha, J. S., & Yu, D. (2022). Objective Measures of Surgeon Non-Technical Skills in Surgery: A Scoping Review. Human Factors, 64(1), 42-73. https://doi.org/10.1177/0018720821995319
  10. Cha, J. S., Athanasiadis, D., Anton, N. E., Stefanidis, D., & Yu, D. (2021). Measurement of Nontechnical Skills During Robotic-Assisted Surgery Using Sensor-Based Communication and Proximity Metrics. JAMA Network Open, 4(11), e2132209-e2132209. doi:10.1001/jamanetworkopen.2021.32209
  11. Anton, N.E., Huffman, E.M., Ahmed, R.A., Cooper, D.D., Athanasiadis, D.I., Cha, J., Stefanidis, D. and Lee, N.K., 2021. Stress and resident interdisciplinary team performance: Results of a pilot trauma simulation program. Surgery, 170(4), pp.1074-1079. (2021). Stress and resident interdisciplinary team performance: Results of a pilot trauma simulation program. Surgery, 170(4), 1074-1079. https://doi.org/10.1016/j.surg.2021.03.010
  12. Anton, N. E., Whiteside, J. A., Cha, J., Perkins, L. A., Martin, M., & Stefanidis, D. (2021). Characterizing robotic surgical expertise: An exploratory study of neural activation during mental imagery of robotic suturing. The American Journal of Surgery, 222(6), 1131-1138. https://doi.org/10.1016/j.amjsurg.2021.02.002
  13. Anton, N. E., Athanasiadis, D. I., Karipidis, T., Keen, A. Y., Karim, A., Cha, J., … & Stefanidis, D. (2021). Surgeon stress negatively affects their non-technical skills in the operating room. The American Journal of Surgery, 222(6), 1154-1157. https://doi.org/10.1016/j.amjsurg.2021.01.035
  14. Wu, C., Cha, J., Sulek, J., Sundaram, C. P., Wachs, J., Proctor, R. W., & Yu, D. (2021). Sensor-based indicators of performance changes between sessions during robotic surgery training. Applied Ergonomics, 90, 103251. https://doi.org/10.1016/j.apergo.2020.103251
  15. Cha, J. S., Monfared, S., Stefanidis, D., Nussbaum, M. A., & Yu, D. (2020). Supporting surgical teams: Identifying needs and barriers for exoskeleton implementation in the operating room. Human Factors, 62(3), 377-390. https://doi.org/10.1177/0018720819879271
  16. Wu, C., Cha, J., Sulek, J., Zhou, T., Sundaram, C. P., Wachs, J., & Yu, D. (2020). Eye-tracking metrics predict perceived workload in robotic surgical skills training. Human Factors, 62(8), 1365-1386. https://doi.org/10.1177/0018720819874544
  17. Zhou, T., Cha, J. S., Gonzalez, G., Wachs, J. P., Sundaram, C. P., & Yu, D. (2020). Multimodal physiological signals for workload prediction in robot-assisted surgery. ACM Transactions on Human-Robot Interaction (THRI), 9(2), 1-26. https://doi.org/10.1145/3368589
  18. Peng, Y., Anton, N. E., Cha, J., Mizota, T., Hennings, J. M., Stambro, R., … & Yu, D. (2019). Objective measures of communication behavior predict clinical performance. Journal of Surgical Education, 76(5), 1337-1347. https://doi.org/10.1016/j.jsurg.2019.03.017
  19. Cha, J. S., Anton, N. E., Mizota, T., Hennings, J. M., Rendina, M. A., Stanton-Maxey, K., … & Yu, D. (2019). Use of non-technical skills can predict medical student performance in acute care simulated scenarios. The American Journal of Surgery, 217(2), 323-328. https://doi.org/10.1016/j.amjsurg.2018.09.028
  20. Yu, D., Cha, J. S., Kasten, S. J., Green, C., & Armstrong, T. J. (2015). Design of low-cost ergonomic microsurgery equipment: comparison of microscope and 3D video displays on task performance. Journal of Medical Devices, 9(2). https://doi.org/10.1115/1.4030130