G-NETS – Gesture-Based Nursing Educational Training Support System

  • Jen-Wei Chang
  • Chang-Fang Huang
  • Robert L. Good
  • Chun-Chia LeeEmail author
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9192)


This study aimed to apply gesture-based cognition learning technology to develop an educational training support system (G-NETS) for physical assessment practicum. The processes of G-NETS system development can be divided into two stages: user-centered design (UCD) development and system verification. Eventually, the quantitative and qualitative analysis is conducted to evaluate nursing students learning performance, attitude, cognitive load, and technology acceptance. Results reveal that G-NETS can help the clinical nursing instructors to access the learners’ information easily, to monitor the student’s learning behavior in clinical courses, and to give them timely support and feedbacks accordingly. That in turn can reduce the percentage of mistakes and increase the quality of clinical practicum learning process. In the future, this study can be applied to clinical education, the training of new clinical nursing staff, other subjects of clinical practicum training, which expand the beneficial results of practical training and clinical teaching.


Gesture-based learning Natural user interface (NUI) Clinical nursing practicum Cognitive task analysis Clinical training support system 



This study is supported in part by the Ministry of Science and Technology, Taiwan, under contract numbers MOST 102-2221-E-242-002- and NSC103-2221-E-242-004-.


  1. 1.
    Gillespie, M., McFetridge, B.: Nurse education–the role of the nurse teacher. J. Clin. Nurs. 15(5), 639–644 (2006)CrossRefGoogle Scholar
  2. 2.
    Kuen, M.: Perceptions of effective clinical teaching behaviors in a hospital-based nurse training program. J. Adv. Nurs. 26(6), 1252–1261 (1997)CrossRefGoogle Scholar
  3. 3.
    Watson, S.: The support that mentors receive in the clinical setting. Nurse Educ. Today 20(7), 585–592 (2000)CrossRefGoogle Scholar
  4. 4.
    Hautala, K.T., Saylor, C.R., O’Leary-Kelley, C.: Nurses’ perceptions of stress and support in the preceptor role. J. Nurs. Staff Dev. 23(2), 64–70 (2007)CrossRefGoogle Scholar
  5. 5.
    Benner, P.: From Novice to Expert. Addison Wesley, Sydney (1984)Google Scholar
  6. 6.
    Hurst, K., Dean, A., Trickey, S.: The recognition and non-recognition of problem solving stages in nursing practice. J. Adv. Nurs. 16, 1444–1455 (1991)CrossRefGoogle Scholar
  7. 7.
    Johnson, L., Smith, R., Willis, H., Levine, A., Haywood, K.: The 2011 horizon report. The New Media Consortium, Austin, TX (2011)Google Scholar
  8. 8.
    Sheu, Feng-Ru, Chen, Nian-Shing: Taking a signal: A review of gesture-based computing research in education. Comput. Educ. 78, 268–277 (2014)CrossRefGoogle Scholar
  9. 9.
    Microsoft (2012). Kinect for Windows.
  10. 10.
    Chang, C.-Y., Chien, Y.-T., Chiang, C.-Y., Lin, M.-C., Lai, H.-C.: Embodying gesture-based multimedia to improve learning. Br. J. Educ. Technology 44, E5–E9 (2013)CrossRefGoogle Scholar
  11. 11.
    Chao, K.-J., Huang, H.-W., Fang, W.-C., Chen, N.-S.: Embodied play to learn: exploring kinect-facilitated memory performance. Br. J. Education. Tech. 44, E151–E155 (2013)CrossRefGoogle Scholar
  12. 12.
    Hung, I.-C., Lin, L.-I., Fang, W.-C., Chen, N.-S.: Learning with the body: an embodiment-based learning strategy enhances performance of comprehending fundamental optics. Interact. Comput. 26, 360–371 (2014)CrossRefGoogle Scholar
  13. 13.
    Nielsen, J.: Guerrilla HCI: using discount usability engineering to penetrate the intimidation barrier, Cost-justifying usability. Academic Press, Orlando, FL (1994)Google Scholar
  14. 14.
    Vredenberg, K., Isensee, S., Righi, C.: User-Centered Design: An Integrated Approach with CD-ROM. Prentice Hall PTR, Upper Saddle River, NJ (2001)Google Scholar
  15. 15.
    Constantine, L.: Beyond user-centered design and user experience: designing for user performance. Cutter IT J. 17, 16–25 (2004)Google Scholar
  16. 16.
    Tullis, T., Albert, W.: Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics. Morgan Kaufmann Publishers, San Francisco, CA (2008)Google Scholar
  17. 17.
    Maarten, S.J., Chipman, S.F., Shalin, V.L.: Cognitive task analysis. Psychology Press, New York (2000)Google Scholar
  18. 18.
    Militello, L.G., Hutton, R.J.B.: Applied Cognitive Task Analysis (ACTA): a practitioner’s toolkit for understanding cognitive task demands. Ergonomics 41, 1618–1641 (1998)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Jen-Wei Chang
    • 1
  • Chang-Fang Huang
    • 2
  • Robert L. Good
    • 3
  • Chun-Chia Lee
    • 4
    Email author
  1. 1.Department of Electrical EngineeringNational Taiwan UniversityTaipeiTaiwan (R.O.C.)
  2. 2.Department of NursingFooyin UniversityKaohsiungTaiwan (R.O.C.)
  3. 3.Department of EnglishNational Kaohsiung First University of Science and TechnologyKaohsiungTaiwan (R.O.C.)
  4. 4.Department of Information ManagementFooyin UniversityKaohsiungTaiwan (R.O.C.)

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