Skip to main content
SpringerLink
Log in

Analyzing User Experience Design of Mobile Hospital Applications Using the Evaluation Grid Method

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

This paper addresses how to assess and improve the user experience design of hospital applications for their customers in mobile and wireless environments. To broadly understand the new functionalities and emotional user requirements of mobile hospital applications from a user experience perspective broadly, we elicit crucial user requirements for mobile hospital applications using the evaluation grid method (EGM). Additionally, we suggest a guideline for improvement using a hierarchical value map and biplot analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Ahn, M. J., Yang, J. Y., Ryu, H. S., & Park, C. S. (2013). A case study of a mobile hospital information system usability. Korean Journal of Hospital Management, 18(4), 97–112.

    Google Scholar 

  2. Brahami, M., Atmani, B., & Matta, N. (2013). Dynamic knowledge mapping guided by data mining: application on healthcare. Journal of Information Processing Systems, 9(1), 1–30.

    Article  Google Scholar 

  3. Cha, H., & Kim, J.-H. (2013). An evaluation model of transition PMO competencies using RGT and AHP. Journal of Information Technology Services, 14(2), 87–109.

    Google Scholar 

  4. Cockton, G. (2004). Value-centred HCI. In Proceedings of the 3rd Nordic conference on Human-Computer Interaction, (pp. 149–160). October 2004.

  5. Fallman, D., Waterworth, J. (2005). Dealing with user experience and affective evaluation in HCI design: A repertory grid approach. CHI Workshop Paper, (pp. 2–7).

  6. Følstad, A., Hornbæk, K., & Ulleberg, P. (2013). Social design feedback: evaluations with users in online ad-hoc groups. Human-centric Computing and Information Sciences, 3(1), 1–27.

    Article  Google Scholar 

  7. Fransella, F., Bell, R., & Bannister, D. (2004). A manual for repertory grid technique. West Sussex: Wiley.

    Google Scholar 

  8. Gabriel, K. R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika, 58(3), 453–467.

    Article  MathSciNet  MATH  Google Scholar 

  9. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Upper Sadle River, NJ: Prentice Hall.

    Google Scholar 

  10. Ihm, H. (2013). Mining consumer attitude and behavior. Journal of Convergence, 4(1), 29–35.

    Google Scholar 

  11. Junichiro, S. (1996). Visualization of users’ requirements: Introduction of the evaluation grid method. In Proceedings of the 3rd Design and Decision Support Systems in Architecture and Urban Planning Conference, (vol. 1, pp. 365–374).

  12. Kailas, A., & Ingram, M. A. (2009). Wireless aspects of telehealth. Wireless Personal Communications, 51(4), 673–686.

    Article  Google Scholar 

  13. Kurosu, M., Kobayashi, T., Yoshitake, R., Takahashi, H., Urokohara, H., Sato, D., et al. (2004). Trends in usability research and activities in Japan. International Journal of Human–Computer Interaction, 17(1), 103–124.

    Article  Google Scholar 

  14. Lee, S. J., & Paik, J. K. (2013). Usability-oriented comparison of GUI designs of general hospital mobile websites. Design Convergence Study, 41, 261–275.

    Google Scholar 

  15. Lee, S.J., Paik, J.Y., & Paik, J.K. (2013). A study on improving mobile website usability of general hospitals using smartphones. In Proceedings of ADADA, (pp. 466–467).

  16. McNaull, J., Augusto, J. C., Mulvenna, M., & McCullagh, P. (2014). Flexible context aware interface for ambient assisted living. Human-centric Computing and Information Sciences, 4(1), 1–41.

    Article  Google Scholar 

  17. Ministry of Health & Welfare. (2014). OECD Health Data 2014. Seoul: Kyung Sung.

  18. Ng, J. K.-Y. (2012). Ubiquitous healthcare: healthcare systems and applications enabled by mobile and wireless technologies. Journal of Convergence, 3(2), 31–36.

    Google Scholar 

  19. Norman, D. (2004). Emotional design: Why we love (or hate) everyday things. Cambridge: Basic books.

    Google Scholar 

  20. Oh, J. S., Kim, H. Y., & Moon, H. N. (2014). A study on the diffusion of digital interactive e-books: The development of a user experience model. Journal of Convergence, 5(2), 21–27.

    Google Scholar 

  21. Peng, K. (2013). A secure network for mobile wireless service. Journal of Information Processing System, 9(2), 247–256.

    Article  Google Scholar 

  22. Reynolds, T. J., & Jonathan Gutman, J. (1998). Laddering theory, method, analysis, and interpretation. Journal of Advertising Research, 28(1), 11–31.

    Google Scholar 

  23. Ravikumar, N., Metcalfe, N. H., Ravikumar, J., & Prasad, R. (2015). Smartphone applications for providing ubiquitous healthcare over cloud with the advent of embeddable implants. Wireless Personal Communications, 86(3), 1439–1446.

  24. Shen, K. S. (2013). Masuring the sociocultural appeal of SNS games in Taiwan. Internet Research, 23(3), 372–392.

    Article  Google Scholar 

  25. Shon, J. G., & Kim, B. W. (2014). Design and implementation of a content model for m-learning. Journal of Information Processing Systems, 10(4), 543–554.

    Article  MathSciNet  Google Scholar 

  26. Wang, B. R., Park, J. Y., Chung, K., & Choi, I. Y. (2014). Influential factors of smart health users according to usage experience and intention to use. Wireless Personal Communications, 79(4), 2671–2683.

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported by SW Master’s course of hiring contract Program Grant funded by the Ministry of Science, ICT and Future Planning (H0116-15-1005).

Author information

Authors and Affiliations

  1. Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul, Korea

    Jiwon Park, Ja-Hee Kim, Eun-Ji Park & Seung Mo Ham

Authors
  1. Jiwon Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ja-Hee Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Eun-Ji Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Seung Mo Ham
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ja-Hee Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Park, J., Kim, JH., Park, EJ. et al. Analyzing User Experience Design of Mobile Hospital Applications Using the Evaluation Grid Method. Wireless Pers Commun 91, 1591–1602 (2016). https://doi.org/10.1007/s11277-016-3193-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-016-3193-0

Keywords

Search

Navigation