Abstract
In order to design the seats in the waiting space of the obstetrics and gynecology department of the hospital, reduce the anxiety of pregnant women waiting for the inspection process, objectively and rationally transform the pregnant women’s needs for the waiting area seats into the design features of the product, and improve the user experience of pregnant women during the prenatal examination and throughout the perinatal period. Firstly, the needs of pregnant women are obtained through user interviews and literature search, and the Kano model is used to analyze the types of needs of the pregnant women group for waiting space seats; secondly, the needs of pregnant women are transformed into the design needs of seats by using the QFD matrix, and the weight of various design requirements; finally, the key design requirements are introduced into the FBS model to obtain the structural information of the seat, and the design of the waiting space seat is obtained. Through the comprehensive application of the QFD-Kano and FBS models, corresponding solutions are proposed for the material, shape, privacy, and comfort of the maternity department seat. The structure of the seat matches the design requirements, and the entire design process is scientific and standardized. At the same time, the possibility of the fusion using of QFD-Kano and FBS is verified.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Xin, H.S.: Optimize the birth policy and improve the population structure. People’s Daily 2, 02 (2021)
Wu, W., Wang, N.N., Sun, M.: The influence of psychological management during the whole pregnancy on pregnancy outcome of pregnant women with abnormal mood and bad pregnancy history. Mod. Chin. Doct. 59(08), 16–19+23 (2021)
Bai, Y.Y.: Analysis on Optimization of Perinatal Nursing Needs of Pregnant and Lying-in Women from the Perspective of Kano Theory. Yanbian University (2018)
Liu, L., Ji, D.Y.: Attribute analysis of nursing service demand for elderly pregnant women based on kano model. Mod. Chin. Doct. 56(24), 161–163+168 (2018)
Guo, Z.F.: Research on Mobile Medical Product Service System Based on Service Design Theory. East China University of Science and Technology (2016)
Zhang, D., Wang, G.R., Li, Z.G.: Construction of customer demand analysis model for take-out packaging design based on QFD. Packag. Eng. 42(05), 216–222 (2021)
Liu, Z.M., Ge, B.H.: QFD-based design of home escort robot for the elderly. J. Graph. 39(04), 695–699 (2018)
Xu, Y.G., Song, D.S., Gu, J.L.: Research on multi-adaptive design of toilets based on QFD and FBS models. Packag. Eng. 39(24), 283–287 (2018)
Chen, G.Q., Cheng, D., Shen, Z.Y.: Innovative design of mobile power detection equipment based on QFD and FBS. Packag. Eng. 42(02), 43–50 (2021)
Gemma, B.G., Francisco, L.J., Daniel, S.Z.: Changes in trunk posture and muscle responses in standing during pregnancy and postpartum. PloS one 13(3), e0194853 (2018)
Haddox, A.G., Hausselle., A., Azoug, A.: Changes in segmental mass and inertia during pregnancy: a musculoskeletal model of the pregnant woman. Gait Posture 76, 389–395 (2020)
Acknowledgments
This research was supported by the project of “Social Innovation and Green Design Research” supported by shanghai summit discipline in design 2022, 2020 Shanghai Pujiang Plan (2020PJC026), East China University of Science and Technology Research Institute of Art and Design Research Base Special Fund, 2022 Shanghai Dream Foundation Project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zhang, L., Zhang, Z. (2022). Chair Design of Waiting Space in Maternity Department Based on QFD-Kano and FBS. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1583. Springer, Cham. https://doi.org/10.1007/978-3-031-06394-7_47
Download citation
DOI: https://doi.org/10.1007/978-3-031-06394-7_47
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-06393-0
Online ISBN: 978-3-031-06394-7
eBook Packages: Computer ScienceComputer Science (R0)