Factor Analysis of Perceived Quality and User Experience of Health Products for Elderly Adults

  • Yongyan GuoEmail author
  • Hong Chen
  • Minggang Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10927)


The concept of perceived quality was proposed by Olson and Jacoby (1972), which was defined as the subjective evaluation of product quality. It is an important component of the user experience. The most researches in this field focused on young people, women and other groups with strong consumption ability before, but the elderly group was ignored. In the aging society, the elderly will play a leading role in the silver economy, and they pay more attention to the quality of healthy life, so the research on the perceived quality of elderly will bring more inspiration for the product design and user experience research. This is the innovation of this paper.

By studying the perceived quality factors of health products for the elderly, we can enhance the user experience of health products in the main dimensions in design.

Methods: The data was inputted into SPSS Software and main factors of elderly perceived quality were analyzed by factor analysis method. Conclusion: Perceived quality is a good concept for evaluate the elderly users’ experience of products with factor analysis method. In the interview, we found the new generation of elderly people in China had higher health consciousness. These elderly adults can accept new technologies better and increase health concerns than before. They also have higher requirements for product perceived quality. Therefore it is important to improve product quality and promote the user experience design for elderly.


Elderly adults Perceived quality Health product design Factor analysis method User experience 



Project Research on the Service Design of Old Health Products supported by Shanghai Summit Discipline in Design (DB17025).

This study is supported by key curriculum projects in Shanghai (YZ0126121).

This study is supported by the Humanities and Social Sciences Fund of the Ministry of Education (Z110-B-1701).


  1. 1.
    Chi Consultancy: Research Report of China’s Pension Industry Status Quo Analysis and Investment Strategy in 2017–2022 years. Chi Consulting Group, pp. 20–26 (2016)Google Scholar
  2. 2.
    Hu, L., Wu, X.: China’s aging situation and the choice of pension mode. Value Eng. (27), 221–223 (2017)Google Scholar
  3. 3.
    Liu, Y.: Research on the way of fitness for the aged. Sports Time Space. 33(12) (2016)Google Scholar
  4. 4.
    Zhang, Y.: Research on customer satisfaction model under the background of shared economy. China Mark. (22), 104, 108 (2017)Google Scholar
  5. 5.
    Liu, X., Liu, Y.: Construct a new customer satisfaction index model – based on SCSB, ACSI, ECSI analysis. Nankai Manag. Rev. 6, 52–56 (2003)Google Scholar
  6. 6.
    Choi, E.J., Kim, S.-H.: The study of the impact of perceived quality and value of social enterprises on customer satisfaction and re-purchase intention. Int. J. Smart Home 7(1), 239–252 (2013)Google Scholar
  7. 7.
    Hjorth-Anderson, Chr.: The Concept of Quality and the Efficiency of Markets for Consumer Products. J. Consum. Res. 11 (September), 708–718 (1984)Google Scholar
  8. 8.
    Steenkamp, Jan-Benedict E.M., Hans C.M. Van Trijp.: The Use of LISREL in Validating Marketing Constructs. Int. J. Res. Mark. 8(4), 283–299 (1991)CrossRefGoogle Scholar
  9. 9.
    Olson, J.C., Jacob Jacoby.: Cue Utilization in the Quality Perception Process. In: Venkatesan, M., (ed.) Proceedings of the Third Annual Conference of the Association for Consumer Research, pp. 167–179. Iowa City: Association for Consumer Research (1972)Google Scholar
  10. 10.
    Zeithaml, V.A.: Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. J. Mark. 52, 2–22 (1988)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Art Design and MediaEast China University of Science and TechnologyShanghaiChina

Personalised recommendations