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Research on Hospital Self-service Machine Interaction Design Based on Kansei Engineering

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Advances in Industrial Design (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1202))

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Abstract

In top tertiary hospitals situated in big cities in China, long registration wait times, payment and short treatment times are common problems due to the considerable number of patients. For this reason, self-service terminals are introduced by hospitals to shorten waiting time and improve patients’ medical experience. In order to improve the quality of outpatient service reasonably and effectively, this paper used the qualitative and quantitative methods to study the interface of self-service terminal. The research combined Kansei Engineering theory with Service Design theory to make the perceptual evaluation of self-service terminal interface and improve the service content. Firstly, the perceptual vocabularies were collected from the literature of medical self-service system research, and the interface samples were collected from the self-service terminals used by public hospitals in Beijing, Shanghai and other big cities. Secondly, through the discussion of the expert group, the words with no obvious characterization were deleted, then the questionnaire method was used to screen out the high-frequency words and representative interfaces. Thirdly, the vocabularies and samples were integrated into a perceptual evaluation scale of the interface of self-service terminals. The research used factor analysis method to process the collected data from the questionnaire survey and summarized the significant perceptual vocabularies. Finally, combining with the field research of the hospitals, this paper discussed and analyzed the interface elements of the self-service system, and summarized an improvement strategy. It is to improve the readability of the interface, optimize the logic of interface interaction and strengthen the interface guidance.

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References

  1. Alnanih, R., Ormandjieva, O.: Mapping HCI principles to design quality of mobile user interfaces in healthcare applications. Proc. Comput. Sci. 94, 75–82 (2016)

    Article  Google Scholar 

  2. Pereira, A., Marins, F., Rodrigues, B., Portela, F., Santos, M.F., Machado, J., Rua, F., Silva, Á., Abelha, A.: Improving quality of medical service with mobile health software. Proc. Comput. Sci. 63, 292–299 (2015)

    Article  Google Scholar 

  3. Zhang, P., Ji, H., Jia, M., Sun, Z.: Develop self-service platform application system to improve the efficiency of outpatient medical service. Health Care China 34(04), 259–260+263 (2017)

    Google Scholar 

  4. Statistical information center of national health commission: A survey report on national health informatization, p. 81. People’s Medical Publishing House, Beijing (2019)

    Google Scholar 

  5. Lyu, Y., Vincent, C.J., Chen, Y., et al.: Designing and optimizing a healthcare kiosk for the community. Appl. Ergon. 47, 157–169 (2015)

    Article  Google Scholar 

  6. Orlando, M.S., Rothman, R.E., et al.: Public health information delivery in the emergency department: analysis of a kiosk-based program. J. Emerg. Med. 50(2), 223–227 (2016)

    Article  Google Scholar 

  7. Mackrill, J., Marshall, P., Payne, S.R., et al.: Using a bespoke situated digital kiosk to encourage user participation in healthcare environment design. Appl. Ergon. 59, 342–356 (2017)

    Article  Google Scholar 

  8. Li, X., Zhou, D., Huang, C., Sun, S.: Interface usability design of self-service registration device based on eye tracking. Mach. Des. Manuf. (08), 145–148 (2018)

    Google Scholar 

  9. Nagamachi, M.: Kansei engineering: a new ergonomic consumer-oriented technology for product development. Int. J. Ind. Ergon. 15(1), 3–11 (1995)

    Article  Google Scholar 

  10. Zhou, M.: Kansei Design. Shanghai Science and Technology Press (2011)

    Google Scholar 

  11. Gummesson, E.: Organizing for strategic management—a conceptual model. Long Range Plan. 7(2), 13–18 (1974)

    Article  Google Scholar 

  12. Hu, F., Li, W.: Definition of “service design”. Packag. Eng. 40(10), 37–51 (2019)

    Google Scholar 

  13. Carreira, R., Patrício, L., Jorge, R.N., et al.: Development of an extended Kansei engineering method to incorporate experience requirements in product–service system design. J. Eng. Des 24(10), 738–764 (2013)

    Article  Google Scholar 

  14. Chen, M.-C., Chang, K.-C., Hsu, C.-L., Xiao, J.-H.: Applying a Kansei engineering-based logistics service design approach to developing international express services. Int. J. Phys. Distrib. Logist. Manage. 45(6), 618–646 (2015)

    Article  Google Scholar 

  15. Wang, Y.H., Lee, C.H., Trappey, A.J.C.: Service design blueprint approach incorporating TRIZ and service QFD for a meal ordering system: a case study. Comput. Ind. Eng. 107, 388–400 (2017)

    Article  Google Scholar 

  16. Osgood, C.E., et al.: The measurement of meaning. Audio-Vis. Commun. Rev. 2(7), 503–504 (1957)

    Google Scholar 

  17. Liang, R., Zhang, L., Feng, W.: Psychological science education psychology multivariate statistics and SPSS software, vol. 3, p. 198. Beijing Institute of Technology Press (2005)

    Google Scholar 

  18. Thompson, B., Daniel, L.G.: Factor analytic evidence for the construct validity of scores: a historical overview and some guidelines. Educ. Psychol. Measur. 56, 197–208 (1996)

    Article  Google Scholar 

  19. Kong, M., Bian, R., Zhang, H.: The application of parallel analysis in exploratory factor analysis. Psychol. Sci. 30(04), 924–925+918 (2007)

    Google Scholar 

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Correspondence to Huifang Shang .

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Shi, Z., Shang, H., Wang, C., Wang, Z., Zhou, M. (2020). Research on Hospital Self-service Machine Interaction Design Based on Kansei Engineering. In: Di Bucchianico, G., Shin, C., Shim, S., Fukuda, S., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1202. Springer, Cham. https://doi.org/10.1007/978-3-030-51194-4_88

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  • DOI: https://doi.org/10.1007/978-3-030-51194-4_88

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51193-7

  • Online ISBN: 978-3-030-51194-4

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